Changes for page POC Summary (POC1 & POC2)
Last modified by Robert Schaub on 2025/12/24 21:53
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... ... @@ -1,25 +1,20 @@ 1 -= POC Summary (POC1 & POC2) = 1 +# FactHarbor - Complete Analysis Summary 2 +**Consolidated Document - No Timelines** 3 +**Date:** December 19, 2025 2 2 5 +--- 3 3 4 -{{info}} 5 -**This page describes POC1 v0.4+ (3-stage pipeline with caching).** 7 +## 1. POC Specification - DEFINITIVE 6 6 7 -For complete implementation details, see [[POC1 API & Schemas Specification>>FactHarbor.Specification.POC.API-and-Schemas.WebHome]]. 8 -{{/info}} 9 - 10 - 11 - 12 -== 1. POC Specification == 13 - 14 -=== POC Goal 9 +### POC Goal 15 15 Prove that AI can extract claims and determine verdicts automatically without human intervention. 16 16 17 - ===POC Output (4 Components Only)12 +### POC Output (4 Components Only) 18 18 19 19 **1. ANALYSIS SUMMARY** 20 20 - 3-5 sentences 21 21 - How many claims found 22 -- Distribution of verdicts 17 +- Distribution of verdicts 23 23 - Overall assessment 24 24 25 25 **2. CLAIMS IDENTIFICATION** ... ... @@ -36,25 +36,25 @@ 36 36 37 37 **Total output: ~200-300 words** 38 38 39 - ===What's NOT in POC34 +### What's NOT in POC 40 40 41 -❌ Scenarios (multiple interpretations) 42 -❌ Evidence display (supporting/opposing lists) 43 -❌ Source links 44 -❌ Detailed reasoning chains 45 -❌ User accounts, history, search 46 -❌ Browser extensions, API 47 -❌ Accessibility, multilingual, mobile 48 -❌ Export, sharing features 36 +❌ Scenarios (multiple interpretations) 37 +❌ Evidence display (supporting/opposing lists) 38 +❌ Source links 39 +❌ Detailed reasoning chains 40 +❌ User accounts, history, search 41 +❌ Browser extensions, API 42 +❌ Accessibility, multilingual, mobile 43 +❌ Export, sharing features 49 49 ❌ Any other features 50 50 51 - ===Critical Requirement46 +### Critical Requirement 52 52 53 53 **FULLY AUTOMATED - NO MANUAL EDITING** 54 54 55 55 This is non-negotiable. POC tests whether AI can do this without human intervention. 56 56 57 - ===POC Success Criteria52 +### POC Success Criteria 58 58 59 59 **Passes if:** 60 60 - ✅ AI extracts 3-5 factual claims automatically ... ... @@ -69,97 +69,185 @@ 69 69 - ❌ Requires manual editing for most analyses (> 50%) 70 70 - ❌ Team loses confidence in approach 71 71 72 - ===POC Architecture67 +### POC Architecture 73 73 74 -**Frontend:** Simple input form + results display 75 -**Backend:** Single API call to Claude (Sonnet 4.5) 76 -**Processing:** One prompt generates complete analysis 69 +**Frontend:** Simple input form + results display 70 +**Backend:** Single API call to Claude (Sonnet 4.5) 71 +**Processing:** One prompt generates complete analysis 77 77 **Database:** None required (stateless) 78 78 79 - ===POC Philosophy74 +### POC Philosophy 80 80 81 81 > "Build less, learn more, decide faster. Test the hardest part first." 82 82 83 - === Context-Aware Analysis (Experimental POC1 Feature) ===78 +--- 84 84 85 - **Problem:**Article credibility≠simpleaverageofclaimverdicts80 +## 2. Gap Analysis - Strategic Framework 86 86 87 - **Example:** Articlewith accuratefacts (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.82 +### Framework Definition 88 88 89 -**Solution (POC1 Test):** Approach 1 - Single-Pass Holistic Analysis 90 -* Enhanced AI prompt to evaluate logical structure 91 -* AI identifies main argument and assesses if it follows from evidence 92 -* Article verdict may differ from claim average 93 -* Zero additional cost, no architecture changes 84 +**Importance = f(risk, impact, strategy)** 85 +- Risk: What breaks if we don't have this? 86 +- Impact: How many users? How severe? 87 +- Strategy: Does it advance FactHarbor's mission? 94 94 95 -** Testing:**96 - * 30-article test set97 - *Success:≥70% accuracydetectingmisleading articles98 - *Marked asexperimental89 +**Urgency = f(fail fast and learn, legal, promises made)** 90 +- Fail fast: Do we need to test assumptions? 91 +- Legal: External requirements/deadlines? 92 +- Promises: Commitments to stakeholders? 99 99 100 - **See:**[[ArticleVerdict Problem>>FactHarbor.Specification.POC.Article-Verdict-Problem]]for full analysis and solution approaches.94 +### 18 Gaps Identified 101 101 102 -== 2. POC2 Specification == 96 +**Category 1: Accessibility & Inclusivity** 97 +1. WCAG 2.1 Compliance 98 +2. Multilingual Support 103 103 104 -=== POC2 Goal === 105 -Prove that AKEL produces high-quality outputs consistently at scale with complete quality validation. 100 +**Category 2: Platform Integration** 101 +3. Browser Extensions 102 +4. Embeddable Widgets 103 +5. ClaimReview Schema 106 106 107 -=== POC2 Enhancements (From POC1) === 105 +**Category 3: Media Verification** 106 +6. Image/Video/Audio Verification 108 108 109 -**1. COMPLETE QUALITY GATES (All 4)** 110 -* Gate 1: Claim Validation (from POC1) 111 -* Gate 2: Evidence Relevance ← NEW 112 -* Gate 3: Scenario Coherence ← NEW 113 -* Gate 4: Verdict Confidence (from POC1) 108 +**Category 4: Mobile & Offline** 109 +7. Mobile Apps / PWA 110 +8. Offline Access 114 114 115 -**2. EVIDENCE DEDUPLICATION (FR54)** 116 -* Prevent counting same source multiple times 117 -* Handle syndicated content (AP, Reuters) 118 -* Content fingerprinting with fuzzy matching 119 -* Target: >95% duplicate detection accuracy 112 +**Category 5: Education & Media Literacy** 113 +9. Educational Resources 114 +10. Media Literacy Integration 120 120 121 -**3. CONTEXT-AWARE ANALYSIS (Conditional)** 122 -* **If POC1 succeeds (≥70%):** Implement as standard feature 123 -* **If POC1 promising (50-70%):** Try weighted aggregation approach 124 -* **If POC1 fails (<50%):** Defer to post-POC2 125 -* Detects articles with accurate claims but misleading conclusions 116 +**Category 6: Collaboration & Community** 117 +11. Professional Collaboration Tools 118 +12. Community Discussion 126 126 127 -**4. QUALITY METRICS DASHBOARD (NFR13)** 128 -* Track hallucination rates 129 -* Monitor gate performance 130 -* Evidence quality metrics 131 -* Processing statistics 120 +**Category 7: Export & Sharing** 121 +13. Export Capabilities (PDF, CSV) 122 +14. Social Sharing Optimization 132 132 133 -=== What's Still NOT in POC2 === 124 +**Category 8: Advanced Features** 125 +15. User Analytics 126 +16. Personalization 127 +17. Media Archiving 128 +18. Advanced Search 134 134 135 -❌ User accounts, authentication 136 -❌ Public publishing interface 137 -❌ Social sharing features 138 -❌ Full production security (comes in Beta 0) 139 -❌ In-article claim highlighting (comes in Beta 0) 130 +### Importance/Urgency Analysis 140 140 141 -=== Success Criteria === 132 +**VERY HIGH Importance + HIGH Urgency:** 133 +1. **Accessibility (WCAG)** 134 + - Risk: Legal liability, 15-20% users excluded 135 + - Urgency: European Accessibility Act (June 28, 2025) 136 + - Action: Must be built from start (retrofitting 100x more expensive) 142 142 143 -** Quality:**144 - *Hallucinationrate<5%(target:<3%)145 - *Average qualityrating ≥8.0/10146 - *Gatesidentify>95%of low-qualityoutputs138 +2. **Educational Resources** 139 + - Risk: Platform fails if users can't understand 140 + - Urgency: Required for any adoption 141 + - Action: Basic onboarding essential 147 147 148 -** Performance:**149 -* All4quality gatesoperational150 - *Evidencededuplication>95%accurate151 - *Qualitymetricstrackedcontinuously143 +**HIGH Importance + MEDIUM Urgency:** 144 +3. **Browser Extensions** - Standard user expectation, test demand first 145 +4. **Media Verification** - Cannot address visual misinformation without it 146 +5. **Multilingual** - Global mission requires it, plan early 152 152 153 -** Context-Aware(ifimplemented):**154 - *Maintains≥70%accuracydetectingmisleadingarticles155 - *<15% falsepositiverate148 +**HIGH Importance + LOW Urgency:** 149 +6. **Mobile Apps** - 90%+ users on mobile, but web-first viable 150 +7. **ClaimReview Schema** - SEO/discoverability, can add anytime 156 156 157 - **Total Output Size:** Similar to POC1 (~220-350 words per analysis)152 +--- 158 158 159 - ==2.KeyStrategicRecommendations154 +## 1.7 POC Alignment with Full Specification 160 160 161 - ===ImmediateActions156 +### POC Intentional Simplifications 162 162 158 +**POC1 tests core AI capability, not full architecture:** 159 + 160 +**What POC Tests:** 161 +- Can AI extract claims from articles? 162 +- Can AI evaluate claims with reasonable verdicts? 163 +- Is fully automated approach viable? 164 +- Is output comprehensible to users? 165 + 166 +**What POC Excludes (Intentionally):** 167 +- ❌ Scenarios (deferred to POC2 - open architectural questions remain) 168 +- ❌ Evidence display (deferred to POC2) 169 +- ❌ Multi-component AKEL pipeline (simplified to single API call) 170 +- ❌ Quality gate infrastructure (simplified basic checks) 171 +- ❌ Production data model (stateless POC) 172 +- ❌ Review workflow system (no review queue) 173 + 174 +**Why Simplified:** 175 +- Fail fast: Test hardest part first (AI capability) 176 +- Learn before building: POC1 informs architecture decisions 177 +- Iterative: Add complexity based on POC1 learnings 178 +- Risk management: Prove concept before major investment 179 + 180 +### Full System Architecture (Future) 181 + 182 +**Workflow:** 183 +{{code}} 184 +Claims → Scenarios → Evidence → Verdicts 185 +{{/code}} 186 + 187 +**AKEL Components:** 188 +- Orchestrator 189 +- Claim Extractor & Classifier 190 +- Scenario Generator 191 +- Evidence Summarizer 192 +- Contradiction Detector 193 +- Quality Gate Validator 194 +- Audit Sampling Scheduler 195 + 196 +**Publication Modes:** 197 +- Mode 1: Draft-Only 198 +- Mode 2: AI-Generated (POC uses this) 199 +- Mode 3: AKEL-Generated (Human-Reviewed) 200 + 201 +### POC vs. Full System Summary 202 + 203 +|=Aspect|=POC1|=Full System 204 +|Scenarios|None (deferred to POC2)|Core component with versioning 205 +|Workflow|3 steps (input/process/output)|6 phases with quality gates 206 +|AKEL|Single API call|Multi-component orchestrated pipeline 207 +|Data|Stateless (no DB)|PostgreSQL + Redis + S3 208 +|Publication|Mode 2 only|Modes 1/2/3 with risk-based routing 209 +|Quality Gates|4 simplified checks|Full validation infrastructure 210 + 211 +### Gap Between POC and Beta 212 + 213 +**Significant architectural expansion needed:** 214 +1. Scenario generation component design and implementation 215 +2. Evidence Model full structure 216 +3. Multi-phase workflow with gates 217 +4. Component-based AKEL architecture 218 +5. Production data model and storage 219 +6. Review workflow and audit systems 220 + 221 +**POC proves concept. Beta builds product.** 222 + 223 + 224 +**MEDIUM Importance + LOW Urgency:** 225 +8-14. All other features - valuable but not urgent 226 + 227 +**Strategic Decisions Needed:** 228 +- Community discussion: Allow or stay evidence-focused? 229 +- Personalization: How much without filter bubbles? 230 +- Media verification: Partner with existing tools or build? 231 + 232 +### Key Insight: Milestones Change Priorities 233 + 234 +**POC:** Only educational resources urgent (basic explainer) 235 +**Beta:** Accessibility becomes urgent (test with diverse users) 236 +**Release:** Legal requirements become critical (WCAG, GDPR) 237 + 238 +**Importance/urgency are contextual, not absolute.** 239 + 240 +--- 241 + 242 +## 3. Key Strategic Recommendations 243 + 244 +### Immediate Actions 245 + 163 163 **For POC:** 164 164 1. Focus on core functionality only (claims + verdicts) 165 165 2. Create basic explainer (1 page) ... ... @@ -172,15 +172,15 @@ 172 172 3. Research media verification options (partner vs build) 173 173 4. Evaluate browser extension approach 174 174 175 - ===Testing Strategy258 +### Testing Strategy 176 176 177 -**POC Tests:** Can AI do this without humans? 178 -**Beta Tests:** What do users need? What works? What doesn't? 260 +**POC Tests:** Can AI do this without humans? 261 +**Beta Tests:** What do users need? What works? What doesn't? 179 179 **Release Tests:** Is it production-ready? 180 180 181 181 **Key Principle:** Test assumptions before building features. 182 182 183 - ===Build Sequence (Priority Order)266 +### Build Sequence (Priority Order) 184 184 185 185 **Must Build:** 186 186 1. Core analysis (claims + verdicts) ← POC ... ... @@ -198,7 +198,7 @@ 198 198 9. Export features ← Based on user requests 199 199 10. Everything else ← Based on validation 200 200 201 - ===Decision Framework284 +### Decision Framework 202 202 203 203 **For each feature, ask:** 204 204 1. **Importance:** Risk + Impact + Strategy alignment? ... ... @@ -208,41 +208,45 @@ 208 208 209 209 **Don't build anything without answering these questions.** 210 210 211 - == 4. Critical Principles294 +--- 212 212 213 -=== Automation First 296 +## 4. Critical Principles 297 + 298 +### Automation First 214 214 - AI makes content decisions 215 215 - Humans improve algorithms 216 216 - Scale through code, not people 217 217 218 - ===Fail Fast303 +### Fail Fast 219 219 - Test assumptions quickly 220 220 - Don't build unvalidated features 221 221 - Accept that experiments may fail 222 222 - Learn from failures 223 223 224 - ===Evidence Over Authority309 +### Evidence Over Authority 225 225 - Transparent reasoning visible 226 226 - No single "true/false" verdicts 227 227 - Multiple scenarios shown 228 228 - Assumptions made explicit 229 229 230 - ===User Focus315 +### User Focus 231 231 - Serve users' needs first 232 232 - Build what's actually useful 233 233 - Don't build what's just "cool" 234 234 - Measure and iterate 235 235 236 - ===Honest Assessment321 +### Honest Assessment 237 237 - Don't cherry-pick examples 238 238 - Document failures openly 239 239 - Accept limitations 240 240 - No overpromising 241 241 242 - == 5. POC Decision Gate327 +--- 243 243 244 - ===AfterPOC,Choose:329 +## 5. POC Decision Gate 245 245 331 +### After POC, Choose: 332 + 246 246 **GO (Proceed to Beta):** 247 247 - AI quality ≥70% without editing 248 248 - Approach validated ... ... @@ -261,37 +261,41 @@ 261 261 - Addressable with better prompts 262 262 - Test again after changes 263 263 264 - == 6. Key Risks & Mitigations351 +--- 265 265 266 -=== Risk 1: AI Quality Not Good Enough 267 -**Mitigation:** Extensive prompt testing, use best models 353 +## 6. Key Risks & Mitigations 354 + 355 +### Risk 1: AI Quality Not Good Enough 356 +**Mitigation:** Extensive prompt testing, use best models 268 268 **Acceptance:** POC might fail - that's what testing reveals 269 269 270 - ===Risk 2: Users Don't Understand Output271 -**Mitigation:** Create clear explainer, test with real users 359 +### Risk 2: Users Don't Understand Output 360 +**Mitigation:** Create clear explainer, test with real users 272 272 **Acceptance:** Iterate on explanation until comprehensible 273 273 274 - ===Risk 3: Approach Doesn't Scale275 -**Mitigation:** Start simple, add complexity only when proven 363 +### Risk 3: Approach Doesn't Scale 364 +**Mitigation:** Start simple, add complexity only when proven 276 276 **Acceptance:** POC proves concept, beta proves scale 277 277 278 - ===Risk 4: Legal/Compliance Issues279 -**Mitigation:** Plan accessibility early, consult legal experts 367 +### Risk 4: Legal/Compliance Issues 368 +**Mitigation:** Plan accessibility early, consult legal experts 280 280 **Acceptance:** Can't launch publicly without compliance 281 281 282 - ===Risk 5: Feature Creep283 -**Mitigation:** Strict scope discipline, say NO to additions 371 +### Risk 5: Feature Creep 372 +**Mitigation:** Strict scope discipline, say NO to additions 284 284 **Acceptance:** POC is minimal by design 285 285 286 - == 7. Success Metrics375 +--- 287 287 288 -=== POC Success 377 +## 7. Success Metrics 378 + 379 +### POC Success 289 289 - AI output quality ≥70% 290 290 - Manual editing needed < 30% of time 291 291 - Team confidence: High 292 292 - Decision: GO to beta 293 293 294 - ===Platform Success (Later)385 +### Platform Success (Later) 295 295 - User comprehension ≥80% 296 296 - Return user rate ≥30% 297 297 - Flag rate (user corrections) < 10% ... ... @@ -298,34 +298,38 @@ 298 298 - Processing time < 30 seconds 299 299 - Error rate < 1% 300 300 301 - ===Mission Success (Long-term)392 +### Mission Success (Long-term) 302 302 - Users make better-informed decisions 303 303 - Misinformation spread reduced 304 304 - Public discourse improves 305 305 - Trust in evidence increases 306 306 307 - == 8. What Makes FactHarbor Different398 +--- 308 308 309 -=== Not Traditional Fact-Checking 400 +## 8. What Makes FactHarbor Different 401 + 402 +### Not Traditional Fact-Checking 310 310 - ❌ No simple "true/false" verdicts 311 311 - ✅ Multiple scenarios with context 312 312 - ✅ Transparent reasoning chains 313 313 - ✅ Explicit assumptions shown 314 314 315 - ===Not AI Chatbot408 +### Not AI Chatbot 316 316 - ❌ Not conversational 317 317 - ✅ Structured Evidence Models 318 318 - ✅ Reproducible analysis 319 319 - ✅ Verifiable sources 320 320 321 - ===Not Just Automation414 +### Not Just Automation 322 322 - ❌ Not replacing human judgment 323 323 - ✅ Augmenting human reasoning 324 324 - ✅ Making process transparent 325 325 - ✅ Enabling informed decisions 326 326 327 - == 9. Core Philosophy420 +--- 328 328 422 +## 9. Core Philosophy 423 + 329 329 **Three Pillars:** 330 330 331 331 **1. Scenarios Over Verdicts** ... ... @@ -346,42 +346,48 @@ 346 346 - Evaluate source quality 347 347 - Avoid cherry-picking 348 348 349 - == 10. Next Actions444 +--- 350 350 351 -=== Immediate 352 -□ Review this consolidated summary 353 -□ Confirm POC scope agreement 354 -□ Make strategic decisions on key questions 355 -□ Begin POC development 446 +## 10. Next Actions 356 356 357 - ===Strategic Planning358 -□ Defineaccessibilityapproach359 -□ Select initiallanguagesformultilingual360 -□ Research mediaverificationpartners361 -□ Evaluatebrowserextension frameworks448 +### Immediate 449 +□ Review this consolidated summary 450 +□ Confirm POC scope agreement 451 +□ Make strategic decisions on key questions 452 +□ Begin POC development 362 362 363 - ===Continuous364 -□ Testassumptionsbefore building365 -□ Measureeverything366 -□ Learnfrom failures367 -□ Stayfocusedonmission454 +### Strategic Planning 455 +□ Define accessibility approach 456 +□ Select initial languages for multilingual 457 +□ Research media verification partners 458 +□ Evaluate browser extension frameworks 368 368 369 -== Summary of Summaries 460 +### Continuous 461 +□ Test assumptions before building 462 +□ Measure everything 463 +□ Learn from failures 464 +□ Stay focused on mission 370 370 371 -**POC Goal:** Prove AI can do this automatically 372 -**POC Scope:** 4 simple components, ~200-300 words 373 -**POC Critical:** Fully automated, no manual editing 374 -**POC Success:** ≥70% quality without human correction 466 +--- 375 375 376 -**Gap Analysis:** 18 gaps identified, 2 critical (Accessibility + Education) 377 -**Framework:** Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises) 378 -**Key Insight:** Context matters - urgency changes with milestones 468 +## Summary of Summaries 379 379 380 -**Strategy:** Test first, build second. Fail fast. Stay focused. 381 -**Philosophy:** Scenarios, transparency, evidence. No false certainty. 470 +**POC Goal:** Prove AI can do this automatically 471 +**POC Scope:** 4 simple components, ~200-300 words 472 +**POC Critical:** Fully automated, no manual editing 473 +**POC Success:** ≥70% quality without human correction 382 382 383 -== Document Status 475 +**Gap Analysis:** 18 gaps identified, 2 critical (Accessibility + Education) 476 +**Framework:** Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises) 477 +**Key Insight:** Context matters - urgency changes with milestones 384 384 479 +**Strategy:** Test first, build second. Fail fast. Stay focused. 480 +**Philosophy:** Scenarios, transparency, evidence. No false certainty. 481 + 482 +--- 483 + 484 +## Document Status 485 + 385 385 **This document supersedes all previous analysis documents.** 386 386 387 387 All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references. ... ... @@ -393,5 +393,7 @@ 393 393 394 394 **Previous documents are archived for reference but this is the authoritative summary.** 395 395 497 +--- 498 + 396 396 **End of Consolidated Summary** 397 397