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Last modified by Robert Schaub on 2026/02/08 08:23
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1 = POC Summary (POC1 & POC2) =
2
3
4 {{info}}
5 **This page describes POC1 v0.4+ (3-stage pipeline with caching).**
6
7 For complete implementation details, see [[POC1 API & Schemas Specification>>Archive.FactHarbor 2026\.01\.20.Specification.POC.API-and-Schemas.WebHome]].
8 {{/info}}
9
10
11
12 == 1. POC Specification ==
13
14 === POC Goal
15 Prove that AI can extract claims and determine verdicts automatically without human intervention. ===
16
17 === POC Output (4 Components Only) ===
18
19 * \\
20 ** \\
21 **1. ANALYSIS SUMMARY**
22 - 3-5 sentences
23 - How many claims found
24 - Distribution of verdicts
25 - Overall assessment**
26
27 **2. CLAIMS IDENTIFICATION**
28 - 3-5 numbered factual claims
29 - Extracted automatically by AI
30
31 **3. CLAIMS VERDICTS**
32 - Per claim: Verdict label + Confidence % + Brief reasoning (1-3 sentences)
33 - Verdict labels: WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED
34
35 **4. ARTICLE SUMMARY (optional)**
36 - 3-5 sentences
37 - Neutral summary of article content
38
39 **Total output: 200-300 words**
40
41 === What's NOT in POC ===
42
43 ❌ Scenarios (multiple interpretations)
44 ❌ Evidence display (supporting/opposing lists)
45 ❌ Source links
46 ❌ Detailed reasoning chains
47 ❌ User accounts, history, search
48 ❌ Browser extensions, API
49 ❌ Accessibility, multilingual, mobile
50 ❌ Export, sharing features
51 ❌ Any other features
52
53 === Critical Requirement ===
54
55 **FULLY AUTOMATED - NO MANUAL EDITING**
56
57 This is non-negotiable. POC tests whether AI can do this without human intervention.
58
59 === POC Success Criteria ===
60
61 **Passes if:**
62 - ✅ AI extracts 3-5 factual claims automatically
63 - ✅ AI provides reasonable verdicts (≥70% make sense)
64 - ✅ Output is comprehensible
65 - ✅ Team agrees approach has merit
66 - ✅ Minimal or no manual editing needed
67
68 **Fails if:**
69 - ❌ Claim extraction poor (< 60% accuracy)
70 - ❌ Verdicts nonsensical (< 60% reasonable)
71 - ❌ Requires manual editing for most analyses (> 50%)
72 - ❌ Team loses confidence in approach
73
74 === POC Architecture ===
75
76 **Frontend:** Simple input form + results display
77 **Backend:** Single API call to Claude (Sonnet 4.5)
78 **Processing:** One prompt generates complete analysis
79 **Database:** None required (stateless)
80
81 === POC Philosophy ===
82
83 > "Build less, learn more, decide faster. Test the hardest part first."
84
85 === Context-Aware Analysis (Experimental POC1 Feature) ===
86
87 **Problem:** Article credibility ≠ simple average of claim verdicts
88
89 **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.
90
91 **Solution (POC1 Test):** Approach 1 - Single-Pass Holistic Analysis
92
93 * Enhanced AI prompt to evaluate logical structure
94 * AI identifies main argument and assesses if it follows from evidence
95 * Article verdict may differ from claim average
96 * Zero additional cost, no architecture changes
97
98 **Testing:**
99
100 * 30-article test set
101 * Success: ≥70% accuracy detecting misleading articles
102 * Marked as experimental
103
104 **See:** [[Article Verdict Problem>>FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches.
105
106 == 2. POC2 Specification ==
107
108 === POC2 Goal ===
109
110 Prove that AKEL produces high-quality outputs consistently at scale with complete quality validation.
111
112 === POC2 Enhancements (From POC1) ===
113
114 * \\
115 ** \\
116 **1. COMPLETE QUALITY GATES (All 4)
117 * Gate 1: Claim Validation (from POC1)
118 * Gate 2: Evidence Relevance ← NEW
119 * Gate 3: Scenario Coherence ← NEW
120 * Gate 4: Verdict Confidence (from POC1)
121
122 **2. EVIDENCE DEDUPLICATION (FR54)**
123
124 * Prevent counting same source multiple times
125 * Handle syndicated content (AP, Reuters)
126 * Content fingerprinting with fuzzy matching
127 * Target: >95% duplicate detection accuracy
128
129 **3. CONTEXT-AWARE ANALYSIS (Conditional)**
130
131 * **If POC1 succeeds (≥70%):** Implement as standard feature
132 * **If POC1 promising (50-70%):** Try weighted aggregation approach
133 * **If POC1 fails (<50%):** Defer to post-POC2
134 * Detects articles with accurate claims but misleading conclusions
135
136 **4. QUALITY METRICS DASHBOARD (NFR13)**
137
138 * Track hallucination rates
139 * Monitor gate performance
140 * Evidence quality metrics
141 * Processing statistics
142
143 === What's Still NOT in POC2 ===
144
145 ❌ User accounts, authentication
146 ❌ Public publishing interface
147 ❌ Social sharing features
148 ❌ Full production security (comes in Beta 0)
149 ❌ In-article claim highlighting (comes in Beta 0)
150
151 === Success Criteria ===
152
153 **Quality:**
154
155 * Hallucination rate <5% (target: <3%)
156 * Average quality rating ≥8.0/10
157 * Gates identify >95% of low-quality outputs
158
159 **Performance:**
160
161 * All 4 quality gates operational
162 * Evidence deduplication >95% accurate
163 * Quality metrics tracked continuously
164
165 **Context-Aware (if implemented):**
166
167 * Maintains ≥70% accuracy detecting misleading articles
168 * <15% false positive rate
169
170 **Total Output Size:** Similar to POC1 (220-350 words per analysis)
171
172 == 2. Key Strategic Recommendations ==
173
174 === Immediate Actions ===
175
176 **For POC:**
177
178 1. Focus on core functionality only (claims + verdicts)
179 2. Create basic explainer (1 page)
180 3. Test AI quality without manual editing
181 4. Make GO/NO-GO decision
182
183 **Planning:**
184
185 1. Define accessibility strategy (when to build)
186 2. Decide on multilingual priorities (which languages first)
187 3. Research media verification options (partner vs build)
188 4. Evaluate browser extension approach
189
190 === Testing Strategy ===
191
192 **POC Tests:** Can AI do this without humans?
193 **Beta Tests:** What do users need? What works? What doesn't?
194 **Release Tests:** Is it production-ready?
195
196 **Key Principle:** Test assumptions before building features.
197
198 === Build Sequence (Priority Order) ===
199
200 **Must Build:**
201
202 1. Core analysis (claims + verdicts) ← POC
203 2. Educational resources (basic → comprehensive)
204 3. Accessibility (WCAG 2.1 AA) ← Legal requirement
205
206 **Should Build (Validate First):**
207 4. Browser extensions ← Test demand
208 5. Media verification ← Pilot with existing tools
209 6. Multilingual ← Start with 2-3 languages
210
211 **Can Build Later:**
212 7. Mobile apps ← PWA first
213 8. ClaimReview schema ← After content library
214 9. Export features ← Based on user requests
215 10. Everything else ← Based on validation
216
217 === Decision Framework ===
218
219 **For each feature, ask:**
220
221 1. **Importance:** Risk + Impact + Strategy alignment?
222 2. **Urgency:** Fail fast + Legal + Promises?
223 3. **Validation:** Do we know users want this?
224 4. **Priority:** When should we build it?
225
226 **Don't build anything without answering these questions.**
227
228 == 4. Critical Principles ==
229
230 === Automation First
231 - AI makes content decisions
232 - Humans improve algorithms
233 - Scale through code, not people ===
234
235 === Fail Fast
236 - Test assumptions quickly
237 - Don't build unvalidated features
238 - Accept that experiments may fail
239 - Learn from failures ===
240
241 === Evidence Over Authority
242 - Transparent reasoning visible
243 - No single "true/false" verdicts
244 - Multiple scenarios shown
245 - Assumptions made explicit ===
246
247 === User Focus
248 - Serve users' needs first
249 - Build what's actually useful
250 - Don't build what's just "cool"
251 - Measure and iterate ===
252
253 === Honest Assessment
254 - Don't cherry-pick examples
255 - Document failures openly
256 - Accept limitations
257 - No overpromising ===
258
259 == 5. POC Decision Gate ==
260
261 === After POC, Choose: ===
262
263 **GO (Proceed to Beta):**
264 - AI quality ≥70% without editing
265 - Approach validated
266 - Team confident
267 - Clear path to improvement
268
269 **NO-GO (Pivot or Stop):**
270 - AI quality < 60%
271 - Requires manual editing for most
272 - Fundamental flaws identified
273 - Not feasible with current technology
274
275 **ITERATE (Improve & Retry):**
276 - Concept has merit
277 - Specific improvements identified
278 - Addressable with better prompts
279 - Test again after changes
280
281 == 6. Key Risks & Mitigations ==
282
283 === Risk 1: AI Quality Not Good Enough
284 **Mitigation:** Extensive prompt testing, use best models
285 **Acceptance:** POC might fail - that's what testing reveals ===
286
287 === Risk 2: Users Don't Understand Output
288 **Mitigation:** Create clear explainer, test with real users
289 **Acceptance:** Iterate on explanation until comprehensible ===
290
291 === Risk 3: Approach Doesn't Scale
292 **Mitigation:** Start simple, add complexity only when proven
293 **Acceptance:** POC proves concept, beta proves scale ===
294
295 === Risk 4: Legal/Compliance Issues
296 **Mitigation:** Plan accessibility early, consult legal experts
297 **Acceptance:** Can't launch publicly without compliance ===
298
299 === Risk 5: Feature Creep
300 **Mitigation:** Strict scope discipline, say NO to additions
301 **Acceptance:** POC is minimal by design ===
302
303 == 7. Success Metrics ==
304
305 === POC Success
306 - AI output quality ≥70%
307 - Manual editing needed < 30% of time
308 - Team confidence: High
309 - Decision: GO to beta ===
310
311 === Platform Success (Later)
312 - User comprehension ≥80%
313 - Return user rate ≥30%
314 - Flag rate (user corrections) < 10%
315 - Processing time < 30 seconds
316 - Error rate < 1% ===
317
318 === Mission Success (Long-term)
319 - Users make better-informed decisions
320 - Misinformation spread reduced
321 - Public discourse improves
322 - Trust in evidence increases ===
323
324 == 8. What Makes FactHarbor Different ==
325
326 === Not Traditional Fact-Checking
327 - ❌ No simple "true/false" verdicts
328 - ✅ Multiple scenarios with context
329 - ✅ Transparent reasoning chains
330 - ✅ Explicit assumptions shown ===
331
332 === Not AI Chatbot
333 - ❌ Not conversational
334 - ✅ Structured Evidence Models
335 - ✅ Reproducible analysis
336 - ✅ Verifiable sources ===
337
338 === Not Just Automation
339 - ❌ Not replacing human judgment
340 - ✅ Augmenting human reasoning
341 - ✅ Making process transparent
342 - ✅ Enabling informed decisions ===
343
344 == 9. Core Philosophy ==
345
346 **Three Pillars:**
347
348 * \\
349 ** \\
350 **1. Scenarios Over Verdicts**
351 - Show multiple interpretations
352 - Make context explicit
353 - Acknowledge uncertainty
354 - Avoid false certainty**
355
356 **2. Transparency Over Authority**
357 - Show reasoning, not just conclusions
358 - Make assumptions explicit
359 - Link to evidence
360 - Enable verification
361
362 **3. Evidence Over Opinions**
363 - Ground claims in sources
364 - Show supporting AND opposing evidence
365 - Evaluate source quality
366 - Avoid cherry-picking
367
368 == 10. Next Actions ==
369
370 === Immediate
371 □ Review this consolidated summary
372 □ Confirm POC scope agreement
373 □ Make strategic decisions on key questions
374 □ Begin POC development ===
375
376 === Strategic Planning
377 □ Define accessibility approach
378 □ Select initial languages for multilingual
379 □ Research media verification partners
380 □ Evaluate browser extension frameworks ===
381
382 === Continuous
383 □ Test assumptions before building
384 □ Measure everything
385 □ Learn from failures
386 □ Stay focused on mission ===
387
388 == Summary of Summaries ==
389
390 **POC Goal:** Prove AI can do this automatically
391 **POC Scope:** 4 simple components, 200-300 words
392 **POC Critical:** Fully automated, no manual editing
393 **POC Success:** ≥70% quality without human correction
394
395 **Gap Analysis:** 18 gaps identified, 2 critical (Accessibility + Education)
396 **Framework:** Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises)
397 **Key Insight:** Context matters - urgency changes with milestones
398
399 **Strategy:** Test first, build second. Fail fast. Stay focused.
400 **Philosophy:** Scenarios, transparency, evidence. No false certainty.
401
402 == Document Status ==
403
404 **This document supersedes all previous analysis documents.**
405
406 All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references.
407
408 **For detailed specifications, refer to:**
409 - User Needs document (in project knowledge)
410 - Requirements document (in project knowledge)
411 - This summary (comprehensive overview)
412
413 **Previous documents are archived for reference but this is the authoritative summary.**
414
415 **End of Consolidated Summary**