Changes for page POC Requirements (POC1 & POC2)

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1		-POC Requirements
	1	+POC Requirements (POC1 & POC2)

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1	1	= POC Requirements =
2	2
3		-**Status:** ✅ Approved for Development
4		-**Version:** 2.0 (Updated after Specification Cross-Check)
5		-**Goal:** Prove that AI can extract claims and determine verdicts automatically without human intervention
6	6
7		----
	4	+{{info}}
	5	+**POC1 Architecture:** 3-stage AKEL pipeline (Extract → Analyze → Holistic) with Redis caching, credit tracking, and LLM abstraction layer.
8	8
	7	+See [[POC1 API Specification>>FactHarbor.Specification.POC.API-and-Schemas.WebHome]] for complete technical details.
	8	+{{/info}}
	9	+
	10	+
	11	+
	12	+**Status:** ✅ Approved for Development
	13	+**Version:** 2.0 (Updated after Specification Cross-Check)
	14	+**Goal:** Prove that AI can extract claims and determine verdicts automatically without human intervention
	15	+
9	9	== 1. POC Overview ==
10	10
11	11	=== 1.1 What POC Tests ===
12	12
13	13	**Core Question:**
	21	+
14	14	> Can AI automatically extract factual claims from articles and evaluate them with reasonable verdicts?
15	15
16	16	**What we're proving:**
	25	+
17	17	* AI can identify factual claims from text
18	18	* AI can evaluate those claims and produce verdicts
19	19	* Output is comprehensible and useful
...	...	@@ -20,6 +20,7 @@
20	20	* Fully automated approach is viable
21	21
22	22	**What we're NOT testing:**
	32	+
23	23	* Scenario generation (deferred to POC2)
24	24	* Evidence display (deferred to POC2)
25	25	* Production scalability
...	...	@@ -26,8 +26,6 @@
26	26	* Perfect accuracy
27	27	* Complete feature set
28	28
29		----
30		-
31	31	=== 1.2 Scenarios Deferred to POC2 ===
32	32
33	33	**Intentional Simplification:**
...	...	@@ -35,6 +35,7 @@
35	35	Scenarios are a core component of the full FactHarbor system (Claims → Scenarios → Evidence → Verdicts), but are **deliberately excluded from POC1**.
36	36
37	37	**Rationale:**
	46	+
38	38	* **POC1 tests:** Can AI extract claims and generate verdicts?
39	39	* **POC2 will add:** Scenario generation and management
40	40	* **Open questions remain:** Should scenarios be separate entities? How are they sequenced with evidence gathering? What's the optimal workflow?
...	...	@@ -46,6 +46,7 @@
46	46	**No Risk:**
47	47
48	48	Scenarios are additive complexity, not foundational. Deferring them to POC2 allows:
	58	+
49	49	* Faster POC1 validation
50	50	* Learning from POC1 to inform scenario design
51	51	* Iterative approach: fail fast if basic AI doesn't work
...	...	@@ -52,65 +52,91 @@
52	52	* Flexibility to adjust scenario architecture based on POC1 insights
53	53
54	54	**Full System Workflow (Future):**
55		-{{code}}
56		-Claims → Scenarios → Evidence → Verdicts
57		-{{/code}}
	65	+{{code}}Claims → Scenarios → Evidence → Verdicts{{/code}}
58	58
59	59	**POC1 Simplified Workflow:**
60		-{{code}}
61		-Claims → Verdicts (scenarios implicit in reasoning)
62		-{{/code}}
	68	+{{code}}Claims → Verdicts (scenarios implicit in reasoning){{/code}}
63	63
64		----
65		-
66	66	== 2. POC Output Specification ==
67	67
68		-=== 2.1 Component 1: ANALYSIS SUMMARY ===
	72	+=== 2.1 Component 1: ANALYSIS SUMMARY (Context-Aware) ===
69	69
70		-**What:** Brief overview of findings
71		-**Length:** 3-5 sentences
72		-**Content:**
73		-* How many claims found
74		-* Distribution of verdicts
75		-* Overall assessment
	74	+**What:** Context-aware overview that considers both individual claims AND their relationship to the article's main argument
76	76
77		-**Example:**
78		-{{code}}
79		-This article makes 4 claims about coffee's health effects. We found
80		-2 claims are well-supported, 1 is uncertain, and 1 is refuted.
81		-Overall assessment: mostly accurate with some exaggeration.
82		-{{/code}}
	76	+**Length:** 4-6 sentences
83	83
84		----
	78	+**Content (Required Elements):**
85	85
	80	+1. **Article's main thesis/claim** - What is the article trying to argue or prove?
	81	+2. **Claim count and verdicts** - How many claims analyzed, distribution of verdicts
	82	+3. **Central vs. supporting claims** - Which claims are central to the article's argument?
	83	+4. **Relationship assessment** - Do the claims support the article's conclusion?
	84	+5. **Overall credibility** - Final assessment considering claim importance
	85	+
	86	+**Critical Innovation:**
	87	+
	88	+POC1 tests whether AI can understand that **article credibility ≠ simple average of claim verdicts**. An article might:
	89	+
	90	+* Make accurate supporting facts but draw unsupported conclusions
	91	+* Have one false central claim that invalidates the whole argument
	92	+* Misframe accurate information to mislead
	93	+
	94	+**Good Example (Context-Aware):**
	95	+{{code}}This article argues that coffee cures cancer based on its antioxidant
	96	+content. We analyzed 3 factual claims: 2 about coffee's chemical
	97	+properties are well-supported, but the main causal claim is refuted
	98	+by current evidence. The article confuses correlation with causation.
	99	+Overall assessment: MISLEADING - makes an unsupported medical claim
	100	+despite citing some accurate facts.{{/code}}
	101	+
	102	+**Poor Example (Simple Aggregation - Don't Do This):**
	103	+{{code}}This article makes 3 claims. 2 are well-supported and 1 is refuted.
	104	+Overall assessment: mostly accurate (67% accurate).{{/code}}
	105	+↑ This misses that the refuted claim IS the article's main point!
	106	+
	107	+**What POC1 Tests:**
	108	+
	109	+Can AI identify and assess:
	110	+
	111	+* ✅ The article's main thesis/conclusion?
	112	+* ✅ Which claims are central vs. supporting?
	113	+* ✅ Whether the evidence supports the conclusion?
	114	+* ✅ Overall credibility considering logical structure?
	115	+
	116	+**If AI Cannot Do This:**
	117	+
	118	+That's valuable to learn in POC1! We'll:
	119	+
	120	+* Note as limitation
	121	+* Fall back to simple aggregation with warning
	122	+* Design explicit article-level analysis for POC2
	123	+
86	86	=== 2.2 Component 2: CLAIMS IDENTIFICATION ===
87	87
88		-**What:** List of factual claims extracted from article
89		-**Format:** Numbered list
90		-**Quantity:** 3-5 claims
	126	+**What:** List of factual claims extracted from article
	127	+**Format:** Numbered list
	128	+**Quantity:** 3-5 claims
91	91	**Requirements:**
	130	+
92	92	* Factual claims only (not opinions/questions)
93	93	* Clearly stated
94	94	* Automatically extracted by AI
95	95
96	96	**Example:**
97		-{{code}}
98		-CLAIMS IDENTIFIED:
	136	+{{code}}CLAIMS IDENTIFIED:
99	99
100	100	[1] Coffee reduces diabetes risk by 30%
101	101	[2] Coffee improves heart health
102	102	[3] Decaf has same benefits as regular
103		-[4] Coffee prevents Alzheimer's completely
104		-{{/code}}
	141	+[4] Coffee prevents Alzheimer's completely{{/code}}
105	105
106		----
107		-
108	108	=== 2.3 Component 3: CLAIMS VERDICTS ===
109	109
110		-**What:** Verdict for each claim identified
111		-**Format:** Per claim structure
	145	+**What:** Verdict for each claim identified
	146	+**Format:** Per claim structure
112	112
113	113	**Required Elements:**
	149	+
114	114	* **Verdict Label:** WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED
115	115	* **Confidence Score:** 0-100%
116	116	* **Brief Reasoning:** 1-3 sentences explaining why
...	...	@@ -117,8 +117,7 @@
117	117	* **Risk Tier:** A (High) / B (Medium) / C (Low) - for demonstration
118	118
119	119	**Example:**
120		-{{code}}
121		-VERDICTS:
	156	+{{code}}VERDICTS:
122	122
123	123	[1] WELL-SUPPORTED (85%) [Risk: C]
124	124	Multiple studies confirm 25-30% risk reduction with regular consumption.
...	...	@@ -130,44 +130,86 @@
130	130	Some benefits overlap, but caffeine-related benefits are reduced in decaf.
131	131
132	132	[4] REFUTED (90%) [Risk: B]
133		-No evidence for complete prevention. Claim is significantly overstated.
134		-{{/code}}
	168	+No evidence for complete prevention. Claim is significantly overstated.{{/code}}
135	135
136	136	**Risk Tier Display:**
	171	+
137	137	* **Tier A (Red):** High Risk - Medical/Legal/Safety/Elections
138		-* **Tier B (Yellow):** Medium Risk - Policy/Science/Causality
	173	+* **Tier B (Yellow):** Medium Risk - Policy/Science/Causality
139	139	* **Tier C (Green):** Low Risk - Facts/Definitions/History
140	140
141	141	**Note:** Risk tier shown for demonstration purposes in POC. Full system uses risk tiers to determine review workflow.
142	142
143		----
144		-
145	145	=== 2.4 Component 4: ARTICLE SUMMARY (Optional) ===
146	146
147		-**What:** Brief summary of original article content
148		-**Length:** 3-5 sentences
	180	+**What:** Brief summary of original article content
	181	+**Length:** 3-5 sentences
149	149	**Tone:** Neutral (article's position, not FactHarbor's analysis)
150	150
151	151	**Example:**
152		-{{code}}
153		-ARTICLE SUMMARY:
	185	+{{code}}ARTICLE SUMMARY:
154	154
155	155	Health News Today article discusses coffee benefits, citing studies
156	156	on diabetes and Alzheimer's. Author highlights research linking coffee
157		-to disease prevention. Recommends 2-3 cups daily for optimal health.
158		-{{/code}}
	189	+to disease prevention. Recommends 2-3 cups daily for optimal health.{{/code}}
159	159
160		----
	191	+=== 2.5 Component 5: USAGE STATISTICS (Cost Tracking) ===
161	161
162		-=== 2.5 Total Output Size ===
	193	+**What:** LLM usage metrics for cost optimization and scaling decisions
163	163
164		-**Combined:** ~200-300 words
165		-* Analysis Summary: 50-70 words
	195	+**Purpose:**
	196	+
	197	+* Understand cost per analysis
	198	+* Identify optimization opportunities
	199	+* Project costs at scale
	200	+* Inform architecture decisions
	201	+
	202	+**Display Format:**
	203	+{{code}}USAGE STATISTICS:
	204	+• Article: 2,450 words (12,300 characters)
	205	+• Input tokens: 15,234
	206	+• Output tokens: 892
	207	+• Total tokens: 16,126
	208	+• Estimated cost: $0.24 USD
	209	+• Response time: 8.3 seconds
	210	+• Cost per claim: $0.048
	211	+• Model: claude-sonnet-4-20250514{{/code}}
	212	+
	213	+**Why This Matters:**
	214	+
	215	+At scale, LLM costs are critical:
	216	+
	217	+* 10,000 articles/month ≈ $200-500/month
	218	+* 100,000 articles/month ≈ $2,000-5,000/month
	219	+* Cost optimization can reduce expenses 30-50%
	220	+
	221	+**What POC1 Learns:**
	222	+
	223	+* How cost scales with article length
	224	+* Prompt optimization opportunities (caching, compression)
	225	+* Output verbosity tradeoffs
	226	+* Model selection strategy (FAST vs. REASONING roles)
	227	+* Article length limits (if needed)
	228	+
	229	+**Implementation:**
	230	+
	231	+* Claude API already returns usage data
	232	+* No extra API calls needed
	233	+* Display to user + log for aggregate analysis
	234	+* Test with articles of varying lengths
	235	+
	236	+**Critical for GO/NO-GO:** Unit economics must be viable at scale!
	237	+
	238	+=== 2.6 Total Output Size ===
	239	+
	240	+**Combined:** 220-350 words
	241	+
	242	+* Analysis Summary (Context-Aware): 60-90 words (4-6 sentences)
166	166	* Claims Identification: 30-50 words
167	167	* Claims Verdicts: 100-150 words
168	168	* Article Summary: 30-50 words (optional)
169	169
170		----
	247	+**Note:** Analysis summary is slightly longer (4-6 sentences vs. 3-5) to accommodate context-aware assessment of article structure and logical reasoning.
171	171
172	172	== 3. What's NOT in POC Scope ==
173	173
...	...	@@ -176,6 +176,7 @@
176	176	The following are **explicitly excluded** from POC:
177	177
178	178	**Content Features:**
	256	+
179	179	* ❌ Scenarios (deferred to POC2)
180	180	* ❌ Evidence display (supporting/opposing lists)
181	181	* ❌ Source links (clickable references)
...	...	@@ -185,6 +185,7 @@
185	185	* ❌ Risk assessment (shown but not workflow-integrated)
186	186
187	187	**Platform Features:**
	266	+
188	188	* ❌ User accounts / authentication
189	189	* ❌ Saved history
190	190	* ❌ Search functionality
...	...	@@ -194,6 +194,7 @@
194	194	* ❌ Social sharing
195	195
196	196	**Technical Features:**
	276	+
197	197	* ❌ Browser extensions
198	198	* ❌ Mobile apps
199	199	* ❌ API endpoints
...	...	@@ -201,6 +201,7 @@
201	201	* ❌ Export features (PDF, CSV)
202	202
203	203	**Quality Features:**
	284	+
204	204	* ❌ Accessibility (WCAG compliance)
205	205	* ❌ Multilingual support
206	206	* ❌ Mobile optimization
...	...	@@ -207,6 +207,7 @@
207	207	* ❌ Media verification (images/videos)
208	208
209	209	**Production Features:**
	291	+
210	210	* ❌ Security hardening
211	211	* ❌ Privacy compliance (GDPR)
212	212	* ❌ Terms of service
...	...	@@ -215,24 +215,18 @@
215	215	* ❌ Analytics
216	216	* ❌ A/B testing
217	217
218		----
219		-
220	220	== 4. POC Simplifications vs. Full System ==
221	221
222	222	=== 4.1 Architecture Comparison ===
223	223
224	224	**POC Architecture (Simplified):**
225		-{{code}}
226		-User Input → Single AKEL Call → Output Display
227		- (all processing)
228		-{{/code}}
	305	+{{code}}User Input → Single AKEL Call → Output Display
	306	+ (all processing){{/code}}
229	229
230	230	**Full System Architecture:**
231		-{{code}}
232		-User Input → Claim Extractor → Claim Classifier → Scenario Generator
	309	+{{code}}User Input → Claim Extractor → Claim Classifier → Scenario Generator
233	233	→ Evidence Summarizer → Contradiction Detector → Verdict Generator
234		-→ Quality Gates → Publication → Output Display
235		-{{/code}}
	311	+→ Quality Gates → Publication → Output Display{{/code}}
236	236
237	237	**Key Differences:**
238	238
...	...	@@ -245,17 +245,17 @@
245	245	|Data Model|Stateless (no database)|PostgreSQL + Redis + S3
246	246	|Architecture|Single prompt to Claude|AKEL Orchestrator + Components
247	247
248		----
249		-
250	250	=== 4.2 Workflow Comparison ===
251	251
252	252	**POC1 Workflow:**
	327	+
253	253	1. User submits text/URL
254	254	2. Single AKEL call (all processing in one prompt)
255	255	3. Display results
256		-**Total: 3 steps, ~10-18 seconds**
	331	+**Total: 3 steps, 10-18 seconds**
257	257
258	258	**Full System Workflow:**
	334	+
259	259	1. **Claim Submission** (extraction, normalization, clustering)
260	260	2. **Scenario Building** (definitions, assumptions, boundaries)
261	261	3. **Evidence Handling** (retrieval, assessment, linking)
...	...	@@ -262,10 +262,8 @@
262	262	4. **Verdict Creation** (synthesis, reasoning, approval)
263	263	5. **Public Presentation** (summaries, landscapes, deep dives)
264	264	6. **Time Evolution** (versioning, re-evaluation triggers)
265		-**Total: 6 phases with quality gates, ~10-30 seconds**
	341	+**Total: 6 phases with quality gates, 10-30 seconds**
266	266
267		----
268		-
269	269	=== 4.3 Why POC is Simplified ===
270	270
271	271	**Engineering Rationale:**
...	...	@@ -284,11 +284,10 @@
284	284	* ❌ POC doesn't validate scale (test in Beta)
285	285	* ❌ POC doesn't validate scenario architecture (design in POC2)
286	286
287		----
288		-
289	289	=== 4.4 Gap Between POC1 and POC2/Beta ===
290	290
291	291	**What needs to be built for POC2:**
	364	+
292	292	* Scenario generation component
293	293	* Evidence Model structure (full)
294	294	* Scenario-evidence linking
...	...	@@ -296,6 +296,7 @@
296	296	* Truth landscape visualization
297	297
298	298	**What needs to be built for Beta:**
	372	+
299	299	* Multi-component AKEL pipeline
300	300	* Quality gate infrastructure
301	301	* Review workflow system
...	...	@@ -305,8 +305,6 @@
305	305
306	306	**POC1 → POC2 is significant architectural expansion.**
307	307
308		----
309		-
310	310	== 5. Publication Mode & Labeling ==
311	311
312	312	=== 5.1 POC Publication Mode ===
...	...	@@ -314,6 +314,7 @@
314	314	**Mode:** Mode 2 (AI-Generated, No Prior Human Review)
315	315
316	316	Per FactHarbor Specification Section 11 "POC v1 Behavior":
	389	+
317	317	* Produces public AI-generated output
318	318	* No human approval gate
319	319	* Clear AI-Generated labeling
...	...	@@ -320,35 +320,31 @@
320	320	* All quality gates active (simplified)
321	321	* Risk tier classification shown (demo)
322	322
323		----
324		-
325	325	=== 5.2 User-Facing Labels ===
326	326
327	327	**Primary Label (top of analysis):**
328		-{{code}}
329		-╔════════════════════════════════════════════════════════════╗
330		-║ [AI-GENERATED - POC/DEMO] ║
331		-║ ║
332		-║ This analysis was produced entirely by AI and has not ║
333		-║ been human-reviewed. Use for demonstration purposes. ║
334		-║ ║
335		-║ Source: AI/AKEL v1.0 (POC) ║
336		-║ Review Status: Not Reviewed (Proof-of-Concept) ║
337		-║ Quality Gates: 4/4 Passed (Simplified) ║
338		-║ Last Updated: [timestamp] ║
339		-╚════════════════════════════════════════════════════════════╝
340		-{{/code}}
	399	+{{code}}╔════════════════════════════════════════════════════════════╗
	400	+║ [AI-GENERATED - POC/DEMO] ║
	401	+║ ║
	402	+║ This analysis was produced entirely by AI and has not ║
	403	+║ been human-reviewed. Use for demonstration purposes. ║
	404	+║ ║
	405	+║ Source: AI/AKEL v1.0 (POC) ║
	406	+║ Review Status: Not Reviewed (Proof-of-Concept) ║
	407	+║ Quality Gates: 4/4 Passed (Simplified) ║
	408	+║ Last Updated: [timestamp] ║
	409	+╚════════════════════════════════════════════════════════════╝{{/code}}
341	341
342	342	**Per-Claim Risk Labels:**
	412	+
343	343	* **[Risk: A]** 🔴 High Risk (Medical/Legal/Safety)
344	344	* **[Risk: B]** 🟡 Medium Risk (Policy/Science)
345	345	* **[Risk: C]** 🟢 Low Risk (Facts/Definitions)
346	346
347		----
348		-
349	349	=== 5.3 Display Requirements ===
350	350
351	351	**Must Show:**
	420	+
352	352	* AI-Generated status (prominent)
353	353	* POC/Demo disclaimer
354	354	* Risk tier per claim
...	...	@@ -357,6 +357,7 @@
357	357	* Timestamp
358	358
359	359	**Must NOT Claim:**
	429	+
360	360	* Human review
361	361	* Production quality
362	362	* Medical/legal advice
...	...	@@ -363,8 +363,6 @@
363	363	* Authoritative verdicts
364	364	* Complete accuracy
365	365
366		----
367		-
368	368	=== 5.4 Mode 2 vs. Full System Publication ===
369	369
370	370	|=Element|=POC Mode 2|=Full System Mode 2|=Full System Mode 3
...	...	@@ -375,8 +375,6 @@
375	375	|Risk Display|Demo only|Workflow-integrated|Validated
376	376	|User Actions|View only|Flag for review|Trust rating
377	377
378		----
379		-
380	380	== 6. Quality Gates (Simplified Implementation) ==
381	381
382	382	=== 6.1 Overview ===
...	...	@@ -384,6 +384,7 @@
384	384	Per FactHarbor Specification Section 6, all AI-generated content must pass quality gates before publication. POC implements **simplified versions** of the 4 mandatory gates.
385	385
386	386	**Full System Has 4 Gates:**
	453	+
387	387	1. Source Quality
388	388	2. Contradiction Search (MANDATORY)
389	389	3. Uncertainty Quantification
...	...	@@ -390,16 +390,16 @@
390	390	4. Structural Integrity
391	391
392	392	**POC Implements Simplified Versions:**
	460	+
393	393	* Focus on demonstrating concept
394	394	* Basic implementations sufficient
395	395	* Failures displayed to user (not blocking)
396	396	* Full system has comprehensive validation
397	397
398		----
399		-
400	400	=== 6.2 Gate 1: Source Quality (Basic) ===
401	401
402	402	**Full System Requirements:**
	469	+
403	403	* Primary sources identified and accessible
404	404	* Source reliability scored against whitelist
405	405	* Citation completeness verified
...	...	@@ -407,6 +407,7 @@
407	407	* Author credentials validated
408	408
409	409	**POC Implementation:**
	477	+
410	410	* ✅ At least 2 sources found
411	411	* ✅ Sources accessible (URLs valid)
412	412	* ❌ No whitelist checking
...	...	@@ -417,11 +417,10 @@
417	417
418	418	**Failure Handling:** Display error message, don't generate verdict
419	419
420		----
421		-
422	422	=== 6.3 Gate 2: Contradiction Search (Basic) ===
423	423
424	424	**Full System Requirements:**
	491	+
425	425	* Counter-evidence actively searched
426	426	* Reservations and limitations identified
427	427	* Alternative interpretations explored
...	...	@@ -430,6 +430,7 @@
430	430	* Academic literature (supporting AND opposing)
431	431
432	432	**POC Implementation:**
	500	+
433	433	* ✅ Basic search for counter-evidence
434	434	* ✅ Identify obvious contradictions
435	435	* ❌ No comprehensive academic search
...	...	@@ -441,11 +441,10 @@
441	441
442	442	**Failure Handling:** Note "limited contradiction search" in output
443	443
444		----
445		-
446	446	=== 6.4 Gate 3: Uncertainty Quantification (Basic) ===
447	447
448	448	**Full System Requirements:**
	515	+
449	449	* Confidence scores calculated for all claims/verdicts
450	450	* Limitations explicitly stated
451	451	* Data gaps identified and disclosed
...	...	@@ -453,6 +453,7 @@
453	453	* Alternative scenarios considered
454	454
455	455	**POC Implementation:**
	523	+
456	456	* ✅ Confidence scores (0-100%)
457	457	* ✅ Basic uncertainty acknowledgment
458	458	* ❌ No detailed limitation disclosure
...	...	@@ -463,11 +463,10 @@
463	463
464	464	**Failure Handling:** Show "Confidence: Unknown" if calculation fails
465	465
466		----
467		-
468	468	=== 6.5 Gate 4: Structural Integrity (Basic) ===
469	469
470	470	**Full System Requirements:**
	537	+
471	471	* No hallucinations detected (fact-checking against sources)
472	472	* Logic chain valid and traceable
473	473	* References accessible and verifiable
...	...	@@ -475,6 +475,7 @@
475	475	* Premises clearly stated
476	476
477	477	**POC Implementation:**
	545	+
478	478	* ✅ Basic coherence check
479	479	* ✅ References accessible
480	480	* ❌ No comprehensive hallucination detection
...	...	@@ -485,32 +485,24 @@
485	485
486	486	**Failure Handling:** Display error message
487	487
488		----
489		-
490	490	=== 6.6 Quality Gate Display ===
491	491
492	492	**POC shows simplified status:**
493		-{{code}}
494		-Quality Gates: 4/4 Passed (Simplified)
	559	+{{code}}Quality Gates: 4/4 Passed (Simplified)
495	495	✓ Source Quality: 3 sources found
496	496	✓ Contradiction Search: Basic search completed
497	497	✓ Uncertainty: Confidence scores assigned
498		-✓ Structural Integrity: Output coherent
499		-{{/code}}
	563	+✓ Structural Integrity: Output coherent{{/code}}
500	500
501	501	**If any gate fails:**
502		-{{code}}
503		-Quality Gates: 3/4 Passed (Simplified)
	566	+{{code}}Quality Gates: 3/4 Passed (Simplified)
504	504	✓ Source Quality: 3 sources found
505	505	✗ Contradiction Search: Search failed - limited evidence
506	506	✓ Uncertainty: Confidence scores assigned
507	507	✓ Structural Integrity: Output coherent
508	508
509		-Note: This analysis has limited evidence. Use with caution.
510		-{{/code}}
	572	+Note: This analysis has limited evidence. Use with caution.{{/code}}
511	511
512		----
513		-
514	514	=== 6.7 Simplified vs. Full System ===
515	515
516	516	|=Gate|=POC (Simplified)|=Full System
...	...	@@ -521,14 +521,13 @@
521	521
522	522	**POC Goal:** Demonstrate that quality gates are possible, not perfect implementation.
523	523
524		----
525		-
526	526	== 7. AKEL Architecture Comparison ==
527	527
528	528	=== 7.1 POC AKEL (Simplified) ===
529	529
530	530	**Implementation:**
531		-* Single Claude API call (Sonnet 4.5)
	589	+
	590	+* Single provider API call (REASONING model)
532	532	* One comprehensive prompt
533	533	* All processing in single request
534	534	* No separate components
...	...	@@ -535,31 +535,26 @@
535	535	* No orchestration layer
536	536
537	537	**Prompt Structure:**
538		-{{code}}
539		-Task: Analyze this article and provide:
	597	+{{code}}Task: Analyze this article and provide:
540	540
541	541	1. Extract 3-5 factual claims
542	542	2. For each claim:
543		- - Determine verdict (WELL-SUPPORTED/PARTIALLY/UNCERTAIN/REFUTED)
544		- - Assign confidence score (0-100%)
545		- - Assign risk tier (A/B/C)
546		- - Write brief reasoning (1-3 sentences)
	601	+ - Determine verdict (WELL-SUPPORTED/PARTIALLY/UNCERTAIN/REFUTED)
	602	+ - Assign confidence score (0-100%)
	603	+ - Assign risk tier (A/B/C)
	604	+ - Write brief reasoning (1-3 sentences)
547	547	3. Generate analysis summary (3-5 sentences)
548	548	4. Generate article summary (3-5 sentences)
549	549	5. Run basic quality checks
550	550
551		-Return as structured JSON.
552		-{{/code}}
	609	+Return as structured JSON.{{/code}}
553	553
554	554	**Processing Time:** 10-18 seconds (estimate)
555	555
556		----
557		-
558	558	=== 7.2 Full System AKEL (Production) ===
559	559
560	560	**Architecture:**
561		-{{code}}
562		-AKEL Orchestrator
	616	+{{code}}AKEL Orchestrator
563	563	├── Claim Extractor
564	564	├── Claim Classifier (with risk tier assignment)
565	565	├── Scenario Generator
...	...	@@ -567,10 +567,10 @@
567	567	├── Contradiction Detector
568	568	├── Quality Gate Validator
569	569	├── Audit Sampling Scheduler
570		-└── Federation Sync Adapter (Release 1.0+)
571		-{{/code}}
	624	+└── Federation Sync Adapter (Release 1.0+){{/code}}
572	572
573	573	**Processing:**
	627	+
574	574	* Parallel processing where possible
575	575	* Separate component calls
576	576	* Quality gates between phases
...	...	@@ -579,11 +579,10 @@
579	579
580	580	**Processing Time:** 10-30 seconds (full pipeline)
581	581
582		----
583		-
584	584	=== 7.3 Why POC Uses Single Call ===
585	585
586	586	**Advantages:**
	639	+
587	587	* ✅ Simpler to implement
588	588	* ✅ Faster POC development
589	589	* ✅ Easier to debug
...	...	@@ -591,6 +591,7 @@
591	591	* ✅ Good enough for concept validation
592	592
593	593	**Limitations:**
	647	+
594	594	* ❌ No component reusability
595	595	* ❌ No parallel processing
596	596	* ❌ All-or-nothing (can't partially succeed)
...	...	@@ -603,8 +603,6 @@
603	603
604	604	Full component architecture comes in Beta after POC validates concept.
605	605
606		----
607		-
608	608	=== 7.4 Evolution Path ===
609	609
610	610	**POC1:** Single prompt → Prove concept
...	...	@@ -612,8 +612,6 @@
612	612	**Beta:** Multi-component AKEL → Production architecture
613	613	**Release 1.0:** Full AKEL + Federation → Scale
614	614
615		----
616		-
617	617	== 8. Functional Requirements ==
618	618
619	619	=== FR-POC-1: Article Input ===
...	...	@@ -621,6 +621,7 @@
621	621	**Requirement:** User can submit article for analysis
622	622
623	623	**Functionality:**
	674	+
624	624	* Text input field (paste article text, up to 5000 characters)
625	625	* URL input field (paste article URL)
626	626	* "Analyze" button to trigger processing
...	...	@@ -627,6 +627,7 @@
627	627	* Loading indicator during analysis
628	628
629	629	**Excluded:**
	681	+
630	630	* No user authentication
631	631	* No claim history
632	632	* No search functionality
...	...	@@ -633,17 +633,17 @@
633	633	* No saved templates
634	634
635	635	**Acceptance Criteria:**
	688	+
636	636	* User can paste text from article
637	637	* User can paste URL of article
638	638	* System accepts input and triggers analysis
639	639
640		----
641		-
642	642	=== FR-POC-2: Claim Extraction (Fully Automated) ===
643	643
644	644	**Requirement:** AI automatically extracts 3-5 factual claims
645	645
646	646	**Functionality:**
	698	+
647	647	* AI reads article text
648	648	* AI identifies factual claims (not opinions/questions)
649	649	* AI extracts 3-5 most important claims
...	...	@@ -650,6 +650,7 @@
650	650	* System displays numbered list
651	651
652	652	**Critical:** NO MANUAL EDITING ALLOWED
	705	+
653	653	* AI selects which claims to extract
654	654	* AI identifies factual vs. non-factual
655	655	* System processes claims as extracted
...	...	@@ -656,32 +656,34 @@
656	656	* No human curation or correction
657	657
658	658	**Error Handling:**
	712	+
659	659	* If extraction fails: Display error message
660	660	* User can retry with different input
661	661	* No manual intervention to fix extraction
662	662
663	663	**Acceptance Criteria:**
	718	+
664	664	* AI extracts 3-5 claims automatically
665	665	* Claims are factual (not opinions)
666	666	* Claims are clearly stated
667	667	* No manual editing required
668	668
669		----
670		-
671	671	=== FR-POC-3: Verdict Generation (Fully Automated) ===
672	672
673	673	**Requirement:** AI automatically generates verdict for each claim
674	674
675	675	**Functionality:**
	729	+
676	676	* For each claim, AI:
677		- * Evaluates claim based on available evidence/knowledge
678		- * Determines verdict: WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED
679		- * Assigns confidence score (0-100%)
680		- * Assigns risk tier (A/B/C)
681		- * Writes brief reasoning (1-3 sentences)
	731	+* Evaluates claim based on available evidence/knowledge
	732	+* Determines verdict: WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED
	733	+* Assigns confidence score (0-100%)
	734	+* Assigns risk tier (A/B/C)
	735	+* Writes brief reasoning (1-3 sentences)
682	682	* System displays verdict for each claim
683	683
684	684	**Critical:** NO MANUAL EDITING ALLOWED
	739	+
685	685	* AI computes verdicts based on evidence
686	686	* AI generates confidence scores
687	687	* AI writes reasoning
...	...	@@ -688,11 +688,13 @@
688	688	* No human review or adjustment
689	689
690	690	**Error Handling:**
	746	+
691	691	* If verdict generation fails: Display error message
692	692	* User can retry
693	693	* No manual intervention to adjust verdicts
694	694
695	695	**Acceptance Criteria:**
	752	+
696	696	* Each claim has a verdict
697	697	* Confidence score is displayed (0-100%)
698	698	* Risk tier is displayed (A/B/C)
...	...	@@ -700,34 +700,33 @@
700	700	* Verdict is defensible given reasoning
701	701	* All generated automatically by AI
702	702
703		----
704		-
705	705	=== FR-POC-4: Analysis Summary (Fully Automated) ===
706	706
707	707	**Requirement:** AI generates brief summary of analysis
708	708
709	709	**Functionality:**
	765	+
710	710	* AI summarizes findings in 3-5 sentences:
711		- * How many claims found
712		- * Distribution of verdicts
713		- * Overall assessment
	767	+* How many claims found
	768	+* Distribution of verdicts
	769	+* Overall assessment
714	714	* System displays at top of results
715	715
716	716	**Critical:** NO MANUAL EDITING ALLOWED
717	717
718	718	**Acceptance Criteria:**
	775	+
719	719	* Summary is coherent
720	720	* Accurately reflects analysis
721	721	* 3-5 sentences
722	722	* Automatically generated
723	723
724		----
725		-
726	726	=== FR-POC-5: Article Summary (Fully Automated, Optional) ===
727	727
728	728	**Requirement:** AI generates brief summary of original article
729	729
730	730	**Functionality:**
	786	+
731	731	* AI summarizes article content (not FactHarbor's analysis)
732	732	* 3-5 sentences
733	733	* System displays
...	...	@@ -737,18 +737,18 @@
737	737	**Critical:** NO MANUAL EDITING ALLOWED
738	738
739	739	**Acceptance Criteria:**
	796	+
740	740	* Summary is neutral (article's position)
741	741	* Accurately reflects article content
742	742	* 3-5 sentences
743	743	* Automatically generated
744	744
745		----
746		-
747	747	=== FR-POC-6: Publication Mode Display ===
748	748
749	749	**Requirement:** Clear labeling of AI-generated content
750	750
751	751	**Functionality:**
	807	+
752	752	* Display Mode 2 publication label
753	753	* Show POC/Demo disclaimer
754	754	* Display risk tiers per claim
...	...	@@ -756,18 +756,18 @@
756	756	* Display timestamp
757	757
758	758	**Acceptance Criteria:**
	815	+
759	759	* Label is prominent and clear
760	760	* User understands this is AI-generated POC output
761	761	* Risk tiers are color-coded
762	762	* Quality gate status is visible
763	763
764		----
765		-
766	766	=== FR-POC-7: Quality Gate Execution ===
767	767
768	768	**Requirement:** Execute simplified quality gates
769	769
770	770	**Functionality:**
	826	+
771	771	* Check source quality (basic)
772	772	* Attempt contradiction search (basic)
773	773	* Calculate confidence scores
...	...	@@ -775,13 +775,12 @@
775	775	* Display gate results
776	776
777	777	**Acceptance Criteria:**
	834	+
778	778	* All 4 gates attempted
779	779	* Pass/fail status displayed
780	780	* Failures explained to user
781	781	* Gates don't block publication (POC mode)
782	782
783		----
784		-
785	785	== 9. Non-Functional Requirements ==
786	786
787	787	=== NFR-POC-1: Fully Automated Processing ===
...	...	@@ -791,6 +791,7 @@
791	791	**Critical Rule:** NO MANUAL EDITING AT ANY STAGE
792	792
793	793	**What this means:**
	849	+
794	794	* Claims: AI selects (no human curation)
795	795	* Scenarios: N/A (deferred to POC2)
796	796	* Evidence: AI evaluates (no human selection)
...	...	@@ -798,13 +798,12 @@
798	798	* Summaries: AI writes (no human editing)
799	799
800	800	**Pipeline:**
801		-{{code}}
802		-User Input → AKEL Processing → Output Display
803		- ↓
804		- ZERO human editing
805		-{{/code}}
	857	+{{code}}User Input → AKEL Processing → Output Display
	858	+ ↓
	859	+ ZERO human editing{{/code}}
806	806
807	807	**If AI output is poor:**
	862	+
808	808	* ❌ Do NOT manually fix it
809	809	* ✅ Document the failure
810	810	* ✅ Improve prompts and retry
...	...	@@ -811,59 +811,61 @@
811	811	* ✅ Accept that POC might fail
812	812
813	813	**Why this matters:**
	869	+
814	814	* Tests whether AI can do this without humans
815	815	* Validates scalability (humans can't review every analysis)
816	816	* Honest test of technical feasibility
817	817
818		----
819		-
820	820	=== NFR-POC-2: Performance ===
821	821
822	822	**Requirement:** Analysis completes in reasonable time
823	823
824	824	**Acceptable Performance:**
	879	+
825	825	* Processing time: 1-5 minutes (acceptable for POC)
826	826	* Display loading indicator to user
827	827	* Show progress if possible ("Extracting claims...", "Generating verdicts...")
828	828
829	829	**Not Required:**
	885	+
830	830	* Production-level speed (< 30 seconds)
831	831	* Optimization for scale
832	832	* Caching
833	833
834	834	**Acceptance Criteria:**
	891	+
835	835	* Analysis completes within 5 minutes
836	836	* User sees loading indicator
837	837	* No timeout errors
838	838
839		----
840		-
841	841	=== NFR-POC-3: Reliability ===
842	842
843	843	**Requirement:** System works for manual testing sessions
844	844
845	845	**Acceptable:**
	901	+
846	846	* Occasional errors (< 20% failure rate)
847	847	* Manual restart if needed
848	848	* Display error messages clearly
849	849
850	850	**Not Required:**
	907	+
851	851	* 99.9% uptime
852	852	* Automatic error recovery
853	853	* Production monitoring
854	854
855	855	**Acceptance Criteria:**
	913	+
856	856	* System works for test demonstrations
857	857	* Errors are handled gracefully
858	858	* User receives clear error messages
859	859
860		----
861		-
862	862	=== NFR-POC-4: Environment ===
863	863
864	864	**Requirement:** Runs on simple infrastructure
865	865
866	866	**Acceptable:**
	923	+
867	867	* Single machine or simple cloud setup
868	868	* No distributed architecture
869	869	* No load balancing
...	...	@@ -871,125 +871,196 @@
871	871	* Local development environment viable
872	872
873	873	**Not Required:**
	931	+
874	874	* Production infrastructure
875	875	* Multi-region deployment
876	876	* Auto-scaling
877	877	* Disaster recovery
878	878
879		----
	937	+=== NFR-POC-5: Cost Efficiency Tracking ===
880	880
	939	+**Requirement:** Track and display LLM usage metrics to inform optimization decisions
	940	+
	941	+**Must Track:**
	942	+
	943	+* Input tokens (article + prompt)
	944	+* Output tokens (generated analysis)
	945	+* Total tokens
	946	+* Estimated cost (USD)
	947	+* Response time (seconds)
	948	+* Article length (words/characters)
	949	+
	950	+**Must Display:**
	951	+
	952	+* Usage statistics in UI (Component 5)
	953	+* Cost per analysis
	954	+* Cost per claim extracted
	955	+
	956	+**Must Log:**
	957	+
	958	+* Aggregate metrics for analysis
	959	+* Cost distribution by article length
	960	+* Token efficiency trends
	961	+
	962	+**Purpose:**
	963	+
	964	+* Understand unit economics
	965	+* Identify optimization opportunities
	966	+* Project costs at scale
	967	+* Inform architecture decisions (caching, model selection, etc.)
	968	+
	969	+**Acceptance Criteria:**
	970	+
	971	+* ✅ Usage data displayed after each analysis
	972	+* ✅ Metrics logged for aggregate analysis
	973	+* ✅ Cost calculated accurately (Claude API pricing)
	974	+* ✅ Test cases include varying article lengths
	975	+* ✅ POC1 report includes cost analysis section
	976	+
	977	+**Success Target:**
	978	+
	979	+* Average cost per analysis < $0.05 USD
	980	+* Cost scaling behavior understood (linear/exponential)
	981	+* 2+ optimization opportunities identified
	982	+
	983	+**Critical:** Unit economics must be viable for scaling decision!
	984	+
881	881	== 10. Technical Architecture ==
882	882
883	883	=== 10.1 System Components ===
884	884
885	885	**Frontend:**
	990	+
886	886	* Simple HTML form (text input + URL input + button)
887	887	* Loading indicator
888	888	* Results display page (single page, no tabs/navigation)
889	889
890	890	**Backend:**
	996	+
891	891	* Single API endpoint
892		-* Calls Claude API (Sonnet 4.5 or latest)
	998	+* Calls provider API (REASONING model; configured via LLM abstraction)
893	893	* Parses response
894	894	* Returns JSON to frontend
895	895
896	896	**Data Storage:**
	1003	+
897	897	* None required (stateless POC)
898	898	* Optional: Simple file storage or SQLite for demo examples
899	899
900	900	**External Services:**
	1008	+
901	901	* Claude API (Anthropic) - required
902	902	* Optional: URL fetch service for article text extraction
903	903
904		----
905		-
906	906	=== 10.2 Processing Flow ===
907	907
908	908	{{code}}
909	909	1. User submits text or URL
910		- ↓
	1016	+ ↓
911	911	2. Backend receives request
912		- ↓
	1018	+ ↓
913	913	3. If URL: Fetch article text
914		- ↓
	1020	+ ↓
915	915	4. Call Claude API with single prompt:
916		- "Extract claims, evaluate each, provide verdicts"
917		- ↓
	1022	+ "Extract claims, evaluate each, provide verdicts"
	1023	+ ↓
918	918	5. Claude API returns:
919		- - Analysis summary
920		- - Claims list
921		- - Verdicts for each claim (with risk tiers)
922		- - Article summary (optional)
923		- - Quality gate results
924		- ↓
	1025	+ - Analysis summary
	1026	+ - Claims list
	1027	+ - Verdicts for each claim (with risk tiers)
	1028	+ - Article summary (optional)
	1029	+ - Quality gate results
	1030	+ ↓
925	925	6. Backend parses response
926		- ↓
	1032	+ ↓
927	927	7. Frontend displays results with Mode 2 labeling
928	928	{{/code}}
929	929
930	930	**Key Simplification:** Single API call does entire analysis
931	931
932		----
933		-
934	934	=== 10.3 AI Prompt Strategy ===
935	935
936	936	**Single Comprehensive Prompt:**
937		-{{code}}
938		-Task: Analyze this article and provide:
	1041	+{{code}}Task: Analyze this article and provide:
939	939
940		-1. Extract 3-5 factual claims from the article
941		-2. For each claim:
942		- - Determine verdict (WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED)
943		- - Assign confidence score (0-100%)
944		- - Assign risk tier (A: Medical/Legal/Safety, B: Policy/Science, C: Facts/Definitions)
945		- - Write brief reasoning (1-3 sentences)
946		-3. Run quality gates:
947		- - Check: ≥2 sources found
948		- - Attempt: Basic contradiction search
949		- - Calculate: Confidence scores
950		- - Verify: Structural integrity
951		-4. Write analysis summary (3-5 sentences: claims found, verdict distribution, overall assessment)
952		-5. Write article summary (3-5 sentences: neutral summary of article content)
	1043	+1. Identify the article's main thesis/conclusion
	1044	+ - What is the article trying to argue or prove?
	1045	+ - What is the primary claim or conclusion?
953	953
954		-Return as structured JSON with quality gate results.
955		-{{/code}}
	1047	+2. Extract 3-5 factual claims from the article
	1048	+ - Note which claims are CENTRAL to the main thesis
	1049	+ - Note which claims are SUPPORTING facts
956	956
	1051	+3. For each claim:
	1052	+ - Determine verdict (WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED)
	1053	+ - Assign confidence score (0-100%)
	1054	+ - Assign risk tier (A: Medical/Legal/Safety, B: Policy/Science, C: Facts/Definitions)
	1055	+ - Write brief reasoning (1-3 sentences)
	1056	+
	1057	+4. Assess relationship between claims and main thesis:
	1058	+ - Do the claims actually support the article's conclusion?
	1059	+ - Are there logical leaps or unsupported inferences?
	1060	+ - Is the article's framing misleading even if individual facts are accurate?
	1061	+
	1062	+5. Run quality gates:
	1063	+ - Check: ≥2 sources found
	1064	+ - Attempt: Basic contradiction search
	1065	+ - Calculate: Confidence scores
	1066	+ - Verify: Structural integrity
	1067	+
	1068	+6. Write context-aware analysis summary (4-6 sentences):
	1069	+ - State article's main thesis
	1070	+ - Report claims found and verdict distribution
	1071	+ - Note if central claims are problematic
	1072	+ - Assess whether evidence supports conclusion
	1073	+ - Overall credibility considering claim importance
	1074	+
	1075	+7. Write article summary (3-5 sentences: neutral summary of article content)
	1076	+
	1077	+Return as structured JSON with quality gate results.{{/code}}
	1078	+
957	957	**One prompt generates everything.**
958	958
959		----
	1081	+**Critical Addition:**
960	960
	1083	+Steps 1, 2 (marking central claims), 4, and 6 are NEW for context-aware analysis. These test whether AI can distinguish between "accurate facts poorly reasoned" vs. "genuinely credible article."
	1084	+
961	961	=== 10.4 Technology Stack Suggestions ===
962	962
963	963	**Frontend:**
	1088	+
964	964	* HTML + CSS + JavaScript (minimal framework)
965	965	* OR: Next.js (if team prefers)
966	966	* Hosted: Local machine OR Vercel/Netlify free tier
967	967
968	968	**Backend:**
	1094	+
969	969	* Python Flask/FastAPI (simple REST API)
970	970	* OR: Next.js API routes (if using Next.js)
971	971	* Hosted: Local machine OR Railway/Render free tier
972	972
973	973	**AKEL Integration:**
	1100	+
974	974	* Claude API via Anthropic SDK
975		-* Model: Claude Sonnet 4.5 or latest available
	1102	+* Model: Provider-default REASONING model or latest available
976	976
977	977	**Database:**
	1105	+
978	978	* None (stateless acceptable)
979	979	* OR: SQLite if want to store demo examples
980	980	* OR: JSON files on disk
981	981
982	982	**Deployment:**
	1111	+
983	983	* Local development environment sufficient for POC
984	984	* Optional: Deploy to cloud for remote demos
985	985
986		----
987		-
988	988	== 11. Success Criteria ==
989	989
990	990	=== 11.1 Minimum Success (POC Passes) ===
991	991
992	992	**Required for GO decision:**
	1120	+
993	993	* ✅ AI extracts 3-5 factual claims automatically
994	994	* ✅ AI provides verdict for each claim automatically
995	995	* ✅ Verdicts are reasonable (≥70% make logical sense)
...	...	@@ -998,17 +998,20 @@
998	998	* ✅ Team/advisors understand the output
999	999	* ✅ Team agrees approach has merit
1000	1000	* ✅ **Minimal or no manual editing needed** (< 30% of analyses require manual intervention)
	1129	+* ✅ **Cost efficiency acceptable** (average cost per analysis < $0.05 USD target)
	1130	+* ✅ **Cost scaling understood** (data collected on article length vs. cost)
	1131	+* ✅ **Optimization opportunities identified** (≥2 potential improvements documented)
1001	1001
1002	1002	**Quality Definition:**
	1134	+
1003	1003	* "Reasonable verdict" = Defensible given general knowledge
1004	1004	* "Coherent summary" = Logically structured, grammatically correct
1005	1005	* "Comprehensible" = Reviewers understand what analysis means
1006	1006
1007		----
1008		-
1009	1009	=== 11.2 POC Fails If ===
1010	1010
1011	1011	**Automatic NO-GO if any of these:**
	1142	+
1012	1012	* ❌ Claim extraction poor (< 60% accuracy - extracts non-claims or misses obvious ones)
1013	1013	* ❌ Verdicts nonsensical (< 60% reasonable - contradictory or random)
1014	1014	* ❌ Output incomprehensible (reviewers can't understand analysis)
...	...	@@ -1015,21 +1015,20 @@
1015	1015	* ❌ **Requires manual editing for most analyses** (> 50% need human correction)
1016	1016	* ❌ Team loses confidence in AI-automated approach
1017	1017
1018		----
1019		-
1020	1020	=== 11.3 Quality Thresholds ===
1021	1021
1022	1022	**POC quality expectations:**
1023	1023
1024	1024	|=Component|=Quality Threshold|=Definition
1025		-|Claim Extraction|(% class="success" %)≥70% accuracy(%%) |Identifies obvious factual claims, may miss some edge cases
1026		-|Verdict Logic|(% class="success" %)≥70% defensible(%%) |Verdicts are logical given reasoning provided
1027		-|Reasoning Clarity|(% class="success" %)≥70% clear(%%) |1-3 sentences are understandable and relevant
1028		-|Overall Analysis|(% class="success" %)≥70% useful(%%) |Output helps user understand article claims
	1154	+|Claim Extraction|(% class="success" %)≥70% accuracy |Identifies obvious factual claims, may miss some edge cases
	1155	+|Verdict Logic|(% class="success" %)≥70% defensible |Verdicts are logical given reasoning provided
	1156	+|Reasoning Clarity|(% class="success" %)≥70% clear |1-3 sentences are understandable and relevant
	1157	+|Overall Analysis|(% class="success" %)≥70% useful |Output helps user understand article claims
1029	1029
1030	1030	**Analogy:** "B student" quality (70-80%), not "A+" perfection yet
1031	1031
1032	1032	**Not expecting:**
	1162	+
1033	1033	* 100% accuracy
1034	1034	* Perfect claim coverage
1035	1035	* Comprehensive evidence gathering
...	...	@@ -1037,13 +1037,12 @@
1037	1037	* Production polish
1038	1038
1039	1039	**Expecting:**
	1170	+
1040	1040	* Reasonable claim extraction
1041	1041	* Defensible verdicts
1042	1042	* Understandable reasoning
1043	1043	* Useful output
1044	1044
1045		----
1046		-
1047	1047	== 12. Test Cases ==
1048	1048
1049	1049	=== 12.1 Test Case 1: Simple Factual Claim ===
...	...	@@ -1051,6 +1051,7 @@
1051	1051	**Input:** "Coffee reduces the risk of type 2 diabetes by 30%"
1052	1052
1053	1053	**Expected Output:**
	1183	+
1054	1054	* Extract claim correctly
1055	1055	* Provide verdict: WELL-SUPPORTED or PARTIALLY SUPPORTED
1056	1056	* Confidence: 70-90%
...	...	@@ -1059,13 +1059,12 @@
1059	1059
1060	1060	**Success:** Verdict is reasonable and reasoning makes sense
1061	1061
1062		----
1063		-
1064	1064	=== 12.2 Test Case 2: Complex News Article ===
1065	1065
1066	1066	**Input:** News article URL with multiple claims about politics/health/science
1067	1067
1068	1068	**Expected Output:**
	1197	+
1069	1069	* Extract 3-5 key claims
1070	1070	* Verdict for each (may vary: some supported, some uncertain, some refuted)
1071	1071	* Coherent analysis summary
...	...	@@ -1074,13 +1074,12 @@
1074	1074
1075	1075	**Success:** Claims identified are actually from article, verdicts are reasonable
1076	1076
1077		----
1078		-
1079	1079	=== 12.3 Test Case 3: Controversial Topic ===
1080	1080
1081	1081	**Input:** Article on contested political or scientific topic
1082	1082
1083	1083	**Expected Output:**
	1211	+
1084	1084	* Balanced analysis
1085	1085	* Acknowledges uncertainty where appropriate
1086	1086	* Doesn't overstate confidence
...	...	@@ -1088,13 +1088,12 @@
1088	1088
1089	1089	**Success:** Analysis is fair and doesn't show obvious bias
1090	1090
1091		----
1092		-
1093	1093	=== 12.4 Test Case 4: Clearly False Claim ===
1094	1094
1095	1095	**Input:** Article with obviously false claim (e.g., "The Earth is flat")
1096	1096
1097	1097	**Expected Output:**
	1224	+
1098	1098	* Extract claim
1099	1099	* Verdict: REFUTED
1100	1100	* High confidence (> 90%)
...	...	@@ -1103,13 +1103,12 @@
1103	1103
1104	1104	**Success:** AI correctly identifies false claim with high confidence
1105	1105
1106		----
1107		-
1108	1108	=== 12.5 Test Case 5: Genuinely Uncertain Claim ===
1109	1109
1110	1110	**Input:** Article with claim where evidence is genuinely mixed
1111	1111
1112	1112	**Expected Output:**
	1238	+
1113	1113	* Extract claim
1114	1114	* Verdict: UNCERTAIN
1115	1115	* Moderate confidence (40-60%)
...	...	@@ -1117,13 +1117,12 @@
1117	1117
1118	1118	**Success:** AI recognizes uncertainty and doesn't overstate confidence
1119	1119
1120		----
1121		-
1122	1122	=== 12.6 Test Case 6: High-Risk Medical Claim ===
1123	1123
1124	1124	**Input:** Article making medical claims
1125	1125
1126	1126	**Expected Output:**
	1251	+
1127	1127	* Extract claim
1128	1128	* Verdict: [appropriate based on evidence]
1129	1129	* Risk tier: A (High - medical)
...	...	@@ -1132,8 +1132,6 @@
1132	1132
1133	1133	**Success:** Risk tier correctly assigned, appropriate warnings shown
1134	1134
1135		----
1136		-
1137	1137	== 13. POC Decision Gate ==
1138	1138
1139	1139	=== 13.1 Decision Framework ===
...	...	@@ -1143,6 +1143,7 @@
1143	1143	**Option A: GO (Proceed to POC2)**
1144	1144
1145	1145	**Conditions:**
	1269	+
1146	1146	* AI quality ≥70% without manual editing
1147	1147	* Basic claim → verdict pipeline validated
1148	1148	* Internal + advisor feedback positive
...	...	@@ -1151,16 +1151,16 @@
1151	1151	* Clear path to improving AI quality to ≥90%
1152	1152
1153	1153	**Next Steps:**
	1278	+
1154	1154	* Plan POC2 development (add scenarios)
1155	1155	* Design scenario architecture
1156	1156	* Expand to Evidence Model structure
1157	1157	* Test with more complex articles
1158	1158
1159		----
1160		-
1161	1161	**Option B: NO-GO (Pivot or Stop)**
1162	1162
1163	1163	**Conditions:**
	1287	+
1164	1164	* AI quality < 60%
1165	1165	* Requires manual editing for most analyses (> 50%)
1166	1166	* Feedback indicates fundamental flaws
...	...	@@ -1168,14 +1168,14 @@
1168	1168	* No clear path to improvement
1169	1169
1170	1170	**Next Steps:**
	1295	+
1171	1171	* **Pivot:** Change to hybrid human-AI approach (accept manual review required)
1172	1172	* **Stop:** Conclude approach not viable, revisit later
1173	1173
1174		----
1175		-
1176	1176	**Option C: ITERATE (Improve POC)**
1177	1177
1178	1178	**Conditions:**
	1302	+
1179	1179	* Concept has merit but execution needs work
1180	1180	* Specific improvements identified
1181	1181	* Addressable with better prompts/approach
...	...	@@ -1182,46 +1182,43 @@
1182	1182	* AI quality between 60-70%
1183	1183
1184	1184	**Next Steps:**
	1309	+
1185	1185	* Improve AI prompts
1186	1186	* Test different approaches
1187	1187	* Re-run POC with improvements
1188	1188	* Then make GO/NO-GO decision
1189	1189
1190		----
1191		-
1192	1192	=== 13.2 Decision Criteria Summary ===
1193	1193
1194	1194	{{code}}
1195		-AI Quality < 60% → NO-GO (approach doesn't work)
	1318	+AI Quality < 60% → NO-GO (approach doesn't work)
1196	1196	AI Quality 60-70% → ITERATE (improve and retry)
1197		-AI Quality ≥70% → GO (proceed to POC2)
	1320	+AI Quality ≥70% → GO (proceed to POC2)
1198	1198	{{/code}}
1199	1199
1200		----
1201		-
1202	1202	== 14. Key Risks & Mitigations ==
1203	1203
1204	1204	=== 14.1 Risk: AI Quality Not Good Enough ===
1205	1205
1206		-**Likelihood:** Medium-High
1207		-**Impact:** POC fails
	1327	+**Likelihood:** Medium-High
	1328	+**Impact:** POC fails
1208	1208
1209	1209	**Mitigation:**
	1331	+
1210	1210	* Extensive prompt engineering and testing
1211		-* Use best available AI models (Sonnet 4.5)
	1333	+* Use best available AI models (role-based selection; configured via LLM abstraction)
1212	1212	* Test with diverse article types
1213	1213	* Iterate on prompts based on results
1214	1214
1215	1215	**Acceptance:** This is what POC tests - be ready for failure
1216	1216
1217		----
1218		-
1219	1219	=== 14.2 Risk: AI Consistency Issues ===
1220	1220
1221		-**Likelihood:** Medium
1222		-**Impact:** Works sometimes, fails other times
	1341	+**Likelihood:** Medium
	1342	+**Impact:** Works sometimes, fails other times
1223	1223
1224	1224	**Mitigation:**
	1345	+
1225	1225	* Test with 10+ diverse articles
1226	1226	* Measure success rate honestly
1227	1227	* Improve prompts to increase consistency
...	...	@@ -1228,14 +1228,13 @@
1228	1228
1229	1229	**Acceptance:** Some variability OK if average quality ≥70%
1230	1230
1231		----
1232		-
1233	1233	=== 14.3 Risk: Output Incomprehensible ===
1234	1234
1235		-**Likelihood:** Low-Medium
1236		-**Impact:** Users can't understand analysis
	1354	+**Likelihood:** Low-Medium
	1355	+**Impact:** Users can't understand analysis
1237	1237
1238	1238	**Mitigation:**
	1358	+
1239	1239	* Create clear explainer document
1240	1240	* Iterate on output format
1241	1241	* Test with non-technical reviewers
...	...	@@ -1243,14 +1243,13 @@
1243	1243
1244	1244	**Acceptance:** Iterate until comprehensible
1245	1245
1246		----
1247		-
1248	1248	=== 14.4 Risk: API Rate Limits / Costs ===
1249	1249
1250		-**Likelihood:** Low
1251		-**Impact:** System slow or expensive
	1368	+**Likelihood:** Low
	1369	+**Impact:** System slow or expensive
1252	1252
1253	1253	**Mitigation:**
	1372	+
1254	1254	* Monitor API usage
1255	1255	* Implement retry logic
1256	1256	* Estimate costs before scaling
...	...	@@ -1257,14 +1257,13 @@
1257	1257
1258	1258	**Acceptance:** POC can be slow and expensive (optimization later)
1259	1259
1260		----
1261		-
1262	1262	=== 14.5 Risk: Scope Creep ===
1263	1263
1264		-**Likelihood:** Medium
1265		-**Impact:** POC becomes too complex
	1381	+**Likelihood:** Medium
	1382	+**Impact:** POC becomes too complex
1266	1266
1267	1267	**Mitigation:**
	1385	+
1268	1268	* Strict scope discipline
1269	1269	* Say NO to feature additions
1270	1270	* Keep focus on core question
...	...	@@ -1271,18 +1271,19 @@
1271	1271
1272	1272	**Acceptance:** POC is minimal by design
1273	1273
1274		----
1275		-
1276	1276	== 15. POC Philosophy ==
1277	1277
1278	1278	=== 15.1 Core Principles ===
1279	1279
1280		-**1. Build Less, Learn More**
	1396	+*
	1397	+**
	1398	+**1. Build Less, Learn More
1281	1281	* Minimum features to test hypothesis
1282	1282	* Don't build unvalidated features
1283	1283	* Focus on core question only
1284	1284
1285	1285	**2. Fail Fast**
	1404	+
1286	1286	* Quick test of hardest part (AI capability)
1287	1287	* Accept that POC might fail
1288	1288	* Better to discover issues early
...	...	@@ -1289,45 +1289,45 @@
1289	1289	* Honest assessment over optimistic hope
1290	1290
1291	1291	**3. Test First, Build Second**
	1411	+
1292	1292	* Validate AI can do this before building platform
1293	1293	* Don't assume it will work
1294	1294	* Let results guide decisions
1295	1295
1296	1296	**4. Automation First**
	1417	+
1297	1297	* No manual editing allowed
1298	1298	* Tests scalability, not just feasibility
1299	1299	* Proves approach can work at scale
1300	1300
1301	1301	**5. Honest Assessment**
	1423	+
1302	1302	* Don't cherry-pick examples
1303	1303	* Don't manually fix bad outputs
1304	1304	* Document failures openly
1305	1305	* Make data-driven decisions
1306	1306
1307		----
1308		-
1309	1309	=== 15.2 What POC Is ===
1310	1310
1311		-✅ Testing AI capability without humans
1312		-✅ Proving core technical concept
1313		-✅ Fast validation of approach
1314		-✅ Honest assessment of feasibility
	1431	+✅ Testing AI capability without humans
	1432	+✅ Proving core technical concept
	1433	+✅ Fast validation of approach
	1434	+✅ Honest assessment of feasibility
1315	1315
1316		----
1317		-
1318	1318	=== 15.3 What POC Is NOT ===
1319	1319
1320		-❌ Building a product
1321		-❌ Production-ready system
1322		-❌ Feature-complete platform
1323		-❌ Perfectly accurate analysis
1324		-❌ Polished user experience
	1438	+❌ Building a product
	1439	+❌ Production-ready system
	1440	+❌ Feature-complete platform
	1441	+❌ Perfectly accurate analysis
	1442	+❌ Polished user experience
1325	1325
1326		----
	1444	+== 16. Success ==
1327	1327
1328		-== 16. Success = Clear Path Forward ==
	1446	+ Clear Path Forward ==
1329	1329
1330	1330	**If POC succeeds (≥70% AI quality):**
	1449	+
1331	1331	* ✅ Approach validated
1332	1332	* ✅ Proceed to POC2 (add scenarios)
1333	1333	* ✅ Design full Evidence Model structure
...	...	@@ -1335,6 +1335,7 @@
1335	1335	* ✅ Focus on improving AI quality from 70% → 90%
1336	1336
1337	1337	**If POC fails (< 60% AI quality):**
	1457	+
1338	1338	* ✅ Learn what doesn't work
1339	1339	* ✅ Pivot to different approach
1340	1340	* ✅ OR wait for better AI technology
...	...	@@ -1342,18 +1342,62 @@
1342	1342
1343	1343	**Either way, POC provides clarity.**
1344	1344
1345		----
1346		-
1347	1347	== 17. Related Pages ==
1348	1348
1349		-* [[User Needs>>FactHarbor.Specification.Requirements.User Needs]]
1350		-* [[Requirements>>FactHarbor.Requirements.WebHome]]
1351		-* [[Gap Analysis>>FactHarbor.Analysis.GapAnalysis]]
	1467	+* [[User Needs>>FactHarbor.Specification.Requirements.User Needs.WebHome]]
	1468	+* [[Requirements>>FactHarbor.Specification.Requirements.WebHome]]
	1469	+* [[Gap Analysis>>FactHarbor.Specification.Requirements.GapAnalysis]]
1352	1352	* [[Architecture>>FactHarbor.Specification.Architecture.WebHome]]
1353		-* [[AKEL>>FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
	1471	+* [[AKEL>>Archive.FactHarbor.Specification.AI Knowledge Extraction Layer (AKEL).WebHome]]
1354	1354	* [[Workflows>>FactHarbor.Specification.Workflows.WebHome]]
1355	1355
1356		----
1357		-
1358	1358	**Document Status:** ✅ Ready for POC Development (Version 2.0 - Updated with Spec Alignment)
1359	1359
	1476	+
	1477	+=== NFR-POC-11: LLM Provider Abstraction (POC1) ===
	1478	+
	1479	+**Requirement:** POC1 MUST implement LLM abstraction layer with support for multiple providers.
	1480	+
	1481	+**POC1 Implementation:**
	1482	+
	1483	+* **Primary Provider:** Anthropic Claude API
	1484	+* Stage 1: Provider-default FAST model
	1485	+* Stage 2: Provider-default REASONING model (cached)
	1486	+* Stage 3: Provider-default REASONING model
	1487	+
	1488	+* **Provider Interface:** Abstract LLMProvider interface implemented
	1489	+
	1490	+* **Configuration:** Environment variables for provider selection
	1491	+* {{code}}LLM_PRIMARY_PROVIDER=anthropic{{/code}}
	1492	+* {{code}}LLM_STAGE1_MODEL=claude-haiku-4{{/code}}
	1493	+* {{code}}LLM_STAGE2_MODEL=claude-sonnet-3-5{{/code}}
	1494	+
	1495	+* **Failover:** Basic error handling with cache fallback for Stage 2
	1496	+
	1497	+* **Cost Tracking:** Log provider name and cost per request
	1498	+
	1499	+**Future (POC2/Beta):**
	1500	+
	1501	+* Secondary provider (OpenAI) with automatic failover
	1502	+* Admin API for runtime provider switching
	1503	+* Cost comparison dashboard
	1504	+* Cross-provider output verification
	1505	+
	1506	+**Success Criteria:**
	1507	+
	1508	+* All LLM calls go through abstraction layer (no direct API calls)
	1509	+* Provider can be changed via environment variable without code changes
	1510	+* Cost tracking includes provider name in logs
	1511	+* Stage 2 falls back to cache on provider failure
	1512	+
	1513	+**Implementation:** See [[POC1 API & Schemas Specification>>Test.FactHarbor.Specification.POC.API-and-Schemas.WebHome]] Section 6
	1514	+
	1515	+**Dependencies:**
	1516	+
	1517	+* NFR-14 (Main Requirements)
	1518	+* Design Decision 9
	1519	+* Architecture Section 2.2
	1520	+
	1521	+**Priority:** HIGH (P1)
	1522	+
	1523	+**Rationale:** Even though POC1 uses single provider, abstraction must be in place from start to avoid costly refactoring later.