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1		-= POC Summary (POC1 & POC2) =
	1	+# FactHarbor - Complete Analysis Summary
	2	+**Consolidated Document - No Timelines**
	3	+**Date:** December 19, 2025
2	2
3		-== 1. POC Specification ==
4	4
5		-=== POC Goal
	6	+## 1. POC Specification - DEFINITIVE
	7	+
	8	+### POC Goal
6	6	Prove that AI can extract claims and determine verdicts automatically without human intervention.
7	7
8		-=== POC Output (4 Components Only)
	11	+### POC Output (4 Components Only)
9	9
10	10	**1. ANALYSIS SUMMARY**
11	11	- 3-5 sentences
...	...	@@ -27,7 +27,7 @@
27	27
28	28	**Total output: ~200-300 words**
29	29
30		-=== What's NOT in POC
	33	+### What's NOT in POC
31	31
32	32	❌ Scenarios (multiple interpretations)
33	33	❌ Evidence display (supporting/opposing lists)
...	...	@@ -39,13 +39,13 @@
39	39	❌ Export, sharing features
40	40	❌ Any other features
41	41
42		-=== Critical Requirement
	45	+### Critical Requirement
43	43
44	44	**FULLY AUTOMATED - NO MANUAL EDITING**
45	45
46	46	This is non-negotiable. POC tests whether AI can do this without human intervention.
47	47
48		-=== POC Success Criteria
	51	+### POC Success Criteria
49	49
50	50	**Passes if:**
51	51	- ✅ AI extracts 3-5 factual claims automatically
...	...	@@ -60,7 +60,7 @@
60	60	- ❌ Requires manual editing for most analyses (> 50%)
61	61	- ❌ Team loses confidence in approach
62	62
63		-=== POC Architecture
	66	+### POC Architecture
64	64
65	65	**Frontend:** Simple input form + results display
66	66	**Backend:** Single API call to Claude (Sonnet 4.5)
...	...	@@ -67,97 +67,175 @@
67	67	**Processing:** One prompt generates complete analysis
68	68	**Database:** None required (stateless)
69	69
70		-=== POC Philosophy
	73	+### POC Philosophy
71	71
72	72	> "Build less, learn more, decide faster. Test the hardest part first."
73	73
74	74
	78	+## 2. Gap Analysis - Strategic Framework
75	75
76		-=== Context-Aware Analysis (Experimental POC1 Feature) ===
	80	+### Framework Definition
77	77
78		-**Problem:** Article credibility ≠ simple average of claim verdicts
	82	+**Importance = f(risk, impact, strategy)**
	83	+- Risk: What breaks if we don't have this?
	84	+- Impact: How many users? How severe?
	85	+- Strategy: Does it advance FactHarbor's mission?
79	79
80		-**Example:** Article with accurate facts (coffee has antioxidants, antioxidants fight cancer) but false conclusion (therefore coffee cures cancer) would score as "mostly accurate" with simple averaging, but is actually MISLEADING.
	87	+**Urgency = f(fail fast and learn, legal, promises made)**
	88	+- Fail fast: Do we need to test assumptions?
	89	+- Legal: External requirements/deadlines?
	90	+- Promises: Commitments to stakeholders?
81	81
82		-**Solution (POC1 Test):** Approach 1 - Single-Pass Holistic Analysis
83		-* Enhanced AI prompt to evaluate logical structure
84		-* AI identifies main argument and assesses if it follows from evidence
85		-* Article verdict may differ from claim average
86		-* Zero additional cost, no architecture changes
	92	+### 18 Gaps Identified
87	87
88		-**Testing:**
89		-* 30-article test set
90		-* Success: ≥70% accuracy detecting misleading articles
91		-* Marked as experimental
	94	+**Category 1: Accessibility & Inclusivity**
	95	+1. WCAG 2.1 Compliance
	96	+2. Multilingual Support
92	92
93		-**See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches.
	98	+**Category 2: Platform Integration**
	99	+3. Browser Extensions
	100	+4. Embeddable Widgets
	101	+5. ClaimReview Schema
94	94
	103	+**Category 3: Media Verification**
	104	+6. Image/Video/Audio Verification
95	95
96		-== 2. POC2 Specification ==
	106	+**Category 4: Mobile & Offline**
	107	+7. Mobile Apps / PWA
	108	+8. Offline Access
97	97
98		-=== POC2 Goal ===
99		-Prove that AKEL produces high-quality outputs consistently at scale with complete quality validation.
	110	+**Category 5: Education & Media Literacy**
	111	+9. Educational Resources
	112	+10. Media Literacy Integration
100	100
101		-=== POC2 Enhancements (From POC1) ===
	114	+**Category 6: Collaboration & Community**
	115	+11. Professional Collaboration Tools
	116	+12. Community Discussion
102	102
103		-**1. COMPLETE QUALITY GATES (All 4)**
104		-* Gate 1: Claim Validation (from POC1)
105		-* Gate 2: Evidence Relevance ← NEW
106		-* Gate 3: Scenario Coherence ← NEW
107		-* Gate 4: Verdict Confidence (from POC1)
	118	+**Category 7: Export & Sharing**
	119	+13. Export Capabilities (PDF, CSV)
	120	+14. Social Sharing Optimization
108	108
109		-**2. EVIDENCE DEDUPLICATION (FR54)**
110		-* Prevent counting same source multiple times
111		-* Handle syndicated content (AP, Reuters)
112		-* Content fingerprinting with fuzzy matching
113		-* Target: >95% duplicate detection accuracy
	122	+**Category 8: Advanced Features**
	123	+15. User Analytics
	124	+16. Personalization
	125	+17. Media Archiving
	126	+18. Advanced Search
114	114
115		-**3. CONTEXT-AWARE ANALYSIS (Conditional)**
116		-* **If POC1 succeeds (≥70%):** Implement as standard feature
117		-* **If POC1 promising (50-70%):** Try weighted aggregation approach
118		-* **If POC1 fails (<50%):** Defer to post-POC2
119		-* Detects articles with accurate claims but misleading conclusions
	128	+### Importance/Urgency Analysis
120	120
121		-**4. QUALITY METRICS DASHBOARD (NFR13)**
122		-* Track hallucination rates
123		-* Monitor gate performance
124		-* Evidence quality metrics
125		-* Processing statistics
	130	+**VERY HIGH Importance + HIGH Urgency:**
	131	+1. **Accessibility (WCAG)**
	132	+ - Risk: Legal liability, 15-20% users excluded
	133	+ - Urgency: European Accessibility Act (June 28, 2025)
	134	+ - Action: Must be built from start (retrofitting 100x more expensive)
126	126
127		-=== What's Still NOT in POC2 ===
	136	+2. **Educational Resources**
	137	+ - Risk: Platform fails if users can't understand
	138	+ - Urgency: Required for any adoption
	139	+ - Action: Basic onboarding essential
128	128
129		-❌ User accounts, authentication
130		-❌ Public publishing interface
131		-❌ Social sharing features
132		-❌ Full production security (comes in Beta 0)
133		-❌ In-article claim highlighting (comes in Beta 0)
	141	+**HIGH Importance + MEDIUM Urgency:**
	142	+3. **Browser Extensions** - Standard user expectation, test demand first
	143	+4. **Media Verification** - Cannot address visual misinformation without it
	144	+5. **Multilingual** - Global mission requires it, plan early
134	134
135		-=== Success Criteria ===
	146	+**HIGH Importance + LOW Urgency:**
	147	+6. **Mobile Apps** - 90%+ users on mobile, but web-first viable
	148	+7. **ClaimReview Schema** - SEO/discoverability, can add anytime
136	136
137		-**Quality:**
138		-* Hallucination rate <5% (target: <3%)
139		-* Average quality rating ≥8.0/10
140		-* Gates identify >95% of low-quality outputs
141	141
142		-**Performance:**
143		-* All 4 quality gates operational
144		-* Evidence deduplication >95% accurate
145		-* Quality metrics tracked continuously
	151	+## 1.7 POC Alignment with Full Specification
146	146
147		-**Context-Aware (if implemented):**
148		-* Maintains ≥70% accuracy detecting misleading articles
149		-* <15% false positive rate
	153	+### POC Intentional Simplifications
150	150
151		-**Total Output Size:** Similar to POC1 (~220-350 words per analysis)
	155	+**POC1 tests core AI capability, not full architecture:**
152	152
	157	+**What POC Tests:**
	158	+- Can AI extract claims from articles?
	159	+- Can AI evaluate claims with reasonable verdicts?
	160	+- Is fully automated approach viable?
	161	+- Is output comprehensible to users?
153	153
	163	+**What POC Excludes (Intentionally):**
	164	+- ❌ Scenarios (deferred to POC2 - open architectural questions remain)
	165	+- ❌ Evidence display (deferred to POC2)
	166	+- ❌ Multi-component AKEL pipeline (simplified to single API call)
	167	+- ❌ Quality gate infrastructure (simplified basic checks)
	168	+- ❌ Production data model (stateless POC)
	169	+- ❌ Review workflow system (no review queue)
154	154
	171	+**Why Simplified:**
	172	+- Fail fast: Test hardest part first (AI capability)
	173	+- Learn before building: POC1 informs architecture decisions
	174	+- Iterative: Add complexity based on POC1 learnings
	175	+- Risk management: Prove concept before major investment
155	155
	177	+### Full System Architecture (Future)
156	156
157		-== 2. Key Strategic Recommendations
	179	+**Workflow:**
	180	+{{code}}
	181	+Claims → Scenarios → Evidence → Verdicts
	182	+{{/code}}
158	158
159		-=== Immediate Actions
	184	+**AKEL Components:**
	185	+- Orchestrator
	186	+- Claim Extractor & Classifier
	187	+- Scenario Generator
	188	+- Evidence Summarizer
	189	+- Contradiction Detector
	190	+- Quality Gate Validator
	191	+- Audit Sampling Scheduler
160	160
	193	+**Publication Modes:**
	194	+- Mode 1: Draft-Only
	195	+- Mode 2: AI-Generated (POC uses this)
	196	+- Mode 3: AKEL-Generated (Human-Reviewed)
	197	+
	198	+### POC vs. Full System Summary
	199	+
	200	+|=Aspect|=POC1|=Full System
	201	+|Scenarios|None (deferred to POC2)|Core component with versioning
	202	+|Workflow|3 steps (input/process/output)|6 phases with quality gates
	203	+|AKEL|Single API call|Multi-component orchestrated pipeline
	204	+|Data|Stateless (no DB)|PostgreSQL + Redis + S3
	205	+|Publication|Mode 2 only|Modes 1/2/3 with risk-based routing
	206	+|Quality Gates|4 simplified checks|Full validation infrastructure
	207	+
	208	+### Gap Between POC and Beta
	209	+
	210	+**Significant architectural expansion needed:**
	211	+1. Scenario generation component design and implementation
	212	+2. Evidence Model full structure
	213	+3. Multi-phase workflow with gates
	214	+4. Component-based AKEL architecture
	215	+5. Production data model and storage
	216	+6. Review workflow and audit systems
	217	+
	218	+**POC proves concept. Beta builds product.**
	219	+
	220	+
	221	+**MEDIUM Importance + LOW Urgency:**
	222	+8-14. All other features - valuable but not urgent
	223	+
	224	+**Strategic Decisions Needed:**
	225	+- Community discussion: Allow or stay evidence-focused?
	226	+- Personalization: How much without filter bubbles?
	227	+- Media verification: Partner with existing tools or build?
	228	+
	229	+### Key Insight: Milestones Change Priorities
	230	+
	231	+**POC:** Only educational resources urgent (basic explainer)
	232	+**Beta:** Accessibility becomes urgent (test with diverse users)
	233	+**Release:** Legal requirements become critical (WCAG, GDPR)
	234	+
	235	+**Importance/urgency are contextual, not absolute.**
	236	+
	237	+
	238	+## 3. Key Strategic Recommendations
	239	+
	240	+### Immediate Actions
	241	+
161	161	**For POC:**
162	162	1. Focus on core functionality only (claims + verdicts)
163	163	2. Create basic explainer (1 page)
...	...	@@ -170,7 +170,7 @@
170	170	3. Research media verification options (partner vs build)
171	171	4. Evaluate browser extension approach
172	172
173		-=== Testing Strategy
	254	+### Testing Strategy
174	174
175	175	**POC Tests:** Can AI do this without humans?
176	176	**Beta Tests:** What do users need? What works? What doesn't?
...	...	@@ -178,7 +178,7 @@
178	178
179	179	**Key Principle:** Test assumptions before building features.
180	180
181		-=== Build Sequence (Priority Order)
	262	+### Build Sequence (Importance Order)
182	182
183	183	**Must Build:**
184	184	1. Core analysis (claims + verdicts) ← POC
...	...	@@ -196,51 +196,53 @@
196	196	9. Export features ← Based on user requests
197	197	10. Everything else ← Based on validation
198	198
199		-=== Decision Framework
	280	+### Decision Framework
200	200
201	201	**For each feature, ask:**
202	202	1. **Importance:** Risk + Impact + Strategy alignment?
203	203	2. **Urgency:** Fail fast + Legal + Promises?
204	204	3. **Validation:** Do we know users want this?
205		-4. **Priority:** When should we build it?
	286	+4. **Importance:** When should we build it?
206	206
207	207	**Don't build anything without answering these questions.**
208	208
209		-== 4. Critical Principles
210	210
211		-=== Automation First
	291	+## 4. Critical Principles
	292	+
	293	+### Automation First
212	212	- AI makes content decisions
213	213	- Humans improve algorithms
214	214	- Scale through code, not people
215	215
216		-=== Fail Fast
	298	+### Fail Fast
217	217	- Test assumptions quickly
218	218	- Don't build unvalidated features
219	219	- Accept that experiments may fail
220	220	- Learn from failures
221	221
222		-=== Evidence Over Authority
	304	+### Evidence Over Authority
223	223	- Transparent reasoning visible
224	224	- No single "true/false" verdicts
225	225	- Multiple scenarios shown
226	226	- Assumptions made explicit
227	227
228		-=== User Focus
	310	+### User Focus
229	229	- Serve users' needs first
230	230	- Build what's actually useful
231	231	- Don't build what's just "cool"
232	232	- Measure and iterate
233	233
234		-=== Honest Assessment
	316	+### Honest Assessment
235	235	- Don't cherry-pick examples
236	236	- Document failures openly
237	237	- Accept limitations
238	238	- No overpromising
239	239
240		-== 5. POC Decision Gate
241	241
242		-=== After POC, Choose:
	323	+## 5. POC Decision Gate
243	243
	325	+### After POC, Choose:
	326	+
244	244	**GO (Proceed to Beta):**
245	245	- AI quality ≥70% without editing
246	246	- Approach validated
...	...	@@ -259,37 +259,39 @@
259	259	- Addressable with better prompts
260	260	- Test again after changes
261	261
262		-== 6. Key Risks & Mitigations
263	263
264		-=== Risk 1: AI Quality Not Good Enough
	346	+## 6. Key Risks & Mitigations
	347	+
	348	+### Risk 1: AI Quality Not Good Enough
265	265	**Mitigation:** Extensive prompt testing, use best models
266	266	**Acceptance:** POC might fail - that's what testing reveals
267	267
268		-=== Risk 2: Users Don't Understand Output
	352	+### Risk 2: Users Don't Understand Output
269	269	**Mitigation:** Create clear explainer, test with real users
270	270	**Acceptance:** Iterate on explanation until comprehensible
271	271
272		-=== Risk 3: Approach Doesn't Scale
	356	+### Risk 3: Approach Doesn't Scale
273	273	**Mitigation:** Start simple, add complexity only when proven
274	274	**Acceptance:** POC proves concept, beta proves scale
275	275
276		-=== Risk 4: Legal/Compliance Issues
	360	+### Risk 4: Legal/Compliance Issues
277	277	**Mitigation:** Plan accessibility early, consult legal experts
278	278	**Acceptance:** Can't launch publicly without compliance
279	279
280		-=== Risk 5: Feature Creep
	364	+### Risk 5: Feature Creep
281	281	**Mitigation:** Strict scope discipline, say NO to additions
282	282	**Acceptance:** POC is minimal by design
283	283
284		-== 7. Success Metrics
285	285
286		-=== POC Success
	369	+## 7. Success Metrics
	370	+
	371	+### POC Success
287	287	- AI output quality ≥70%
288	288	- Manual editing needed < 30% of time
289	289	- Team confidence: High
290	290	- Decision: GO to beta
291	291
292		-=== Platform Success (Later)
	377	+### Platform Success (Later)
293	293	- User comprehension ≥80%
294	294	- Return user rate ≥30%
295	295	- Flag rate (user corrections) < 10%
...	...	@@ -296,34 +296,36 @@
296	296	- Processing time < 30 seconds
297	297	- Error rate < 1%
298	298
299		-=== Mission Success (Long-term)
	384	+### Mission Success (Long-term)
300	300	- Users make better-informed decisions
301	301	- Misinformation spread reduced
302	302	- Public discourse improves
303	303	- Trust in evidence increases
304	304
305		-== 8. What Makes FactHarbor Different
306	306
307		-=== Not Traditional Fact-Checking
	391	+## 8. What Makes FactHarbor Different
	392	+
	393	+### Not Traditional Fact-Checking
308	308	- ❌ No simple "true/false" verdicts
309	309	- ✅ Multiple scenarios with context
310	310	- ✅ Transparent reasoning chains
311	311	- ✅ Explicit assumptions shown
312	312
313		-=== Not AI Chatbot
	399	+### Not AI Chatbot
314	314	- ❌ Not conversational
315	315	- ✅ Structured Evidence Models
316	316	- ✅ Reproducible analysis
317	317	- ✅ Verifiable sources
318	318
319		-=== Not Just Automation
	405	+### Not Just Automation
320	320	- ❌ Not replacing human judgment
321	321	- ✅ Augmenting human reasoning
322	322	- ✅ Making process transparent
323	323	- ✅ Enabling informed decisions
324	324
325		-== 9. Core Philosophy
326	326
	412	+## 9. Core Philosophy
	413	+
327	327	**Three Pillars:**
328	328
329	329	**1. Scenarios Over Verdicts**
...	...	@@ -344,28 +344,30 @@
344	344	- Evaluate source quality
345	345	- Avoid cherry-picking
346	346
347		-== 10. Next Actions
348	348
349		-=== Immediate
	435	+## 10. Next Actions
	436	+
	437	+### Immediate
350	350	□ Review this consolidated summary
351	351	□ Confirm POC scope agreement
352	352	□ Make strategic decisions on key questions
353	353	□ Begin POC development
354	354
355		-=== Strategic Planning
	443	+### Strategic Planning
356	356	□ Define accessibility approach
357	357	□ Select initial languages for multilingual
358	358	□ Research media verification partners
359	359	□ Evaluate browser extension frameworks
360	360
361		-=== Continuous
	449	+### Continuous
362	362	□ Test assumptions before building
363	363	□ Measure everything
364	364	□ Learn from failures
365	365	□ Stay focused on mission
366	366
367		-== Summary of Summaries
368	368
	456	+## Summary of Summaries
	457	+
369	369	**POC Goal:** Prove AI can do this automatically
370	370	**POC Scope:** 4 simple components, ~200-300 words
371	371	**POC Critical:** Fully automated, no manual editing
...	...	@@ -378,8 +378,9 @@
378	378	**Strategy:** Test first, build second. Fail fast. Stay focused.
379	379	**Philosophy:** Scenarios, transparency, evidence. No false certainty.
380	380
381		-== Document Status
382	382
	471	+## Document Status
	472	+
383	383	**This document supersedes all previous analysis documents.**
384	384
385	385	All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references.
...	...	@@ -391,5 +391,6 @@
391	391
392	392	**Previous documents are archived for reference but this is the authoritative summary.**
393	393
	484	+
394	394	**End of Consolidated Summary**
395	395