Changes for page POC Summary (POC1 & POC2)
Last modified by Robert Schaub on 2025/12/24 09:44
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... ... @@ -1,11 +1,7 @@ 1 -= FactHarbor - Complete Analysis Summary 2 -**Consolidated Document - No Timelines** 3 -**Date:** December 19, 2025 1 += POC Summary (POC1 & POC2) = 4 4 5 - ---3 +== 1. POC Specification == 6 6 7 -== 1. POC Specification - DEFINITIVE 8 - 9 9 === POC Goal 10 10 Prove that AI can extract claims and determine verdicts automatically without human intervention. 11 11 ... ... @@ -75,172 +75,29 @@ 75 75 76 76 > "Build less, learn more, decide faster. Test the hardest part first." 77 77 78 ---- 79 79 80 -== 2. Gap Analysis - Strategic Framework 81 81 82 -=== Framework Definition76 +=== Context-Aware Analysis (Experimental POC1 Feature) === 83 83 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? 78 +**Problem:** Article credibility ≠ simple average of claim verdicts 88 88 89 -**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? 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. 93 93 94 -=== 18 Gaps Identified 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 95 95 96 -**Category 1: Accessibility & Inclusivity** 97 -1. WCAG 2.1 Compliance 98 -2. Multilingual Support 88 +**Testing:** 89 +* 30-article test set 90 +* Success: ≥70% accuracy detecting misleading articles 91 +* Marked as experimental 99 99 100 -**Category 2: Platform Integration** 101 -3. Browser Extensions 102 -4. Embeddable Widgets 103 -5. ClaimReview Schema 93 +**See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches. 104 104 105 -**Category 3: Media Verification** 106 -6. Image/Video/Audio Verification 95 +== 2. Key Strategic Recommendations 107 107 108 -**Category 4: Mobile & Offline** 109 -7. Mobile Apps / PWA 110 -8. Offline Access 111 - 112 -**Category 5: Education & Media Literacy** 113 -9. Educational Resources 114 -10. Media Literacy Integration 115 - 116 -**Category 6: Collaboration & Community** 117 -11. Professional Collaboration Tools 118 -12. Community Discussion 119 - 120 -**Category 7: Export & Sharing** 121 -13. Export Capabilities (PDF, CSV) 122 -14. Social Sharing Optimization 123 - 124 -**Category 8: Advanced Features** 125 -15. User Analytics 126 -16. Personalization 127 -17. Media Archiving 128 -18. Advanced Search 129 - 130 -=== Importance/Urgency Analysis 131 - 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) 137 - 138 -2. **Educational Resources** 139 - - Risk: Platform fails if users can't understand 140 - - Urgency: Required for any adoption 141 - - Action: Basic onboarding essential 142 - 143 -**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 147 - 148 -**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 151 - 152 ---- 153 - 154 -== 1.7 POC Alignment with Full Specification 155 - 156 -=== POC Intentional Simplifications 157 - 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 - 244 244 === Immediate Actions 245 245 246 246 **For POC:** ... ... @@ -291,8 +291,6 @@ 291 291 292 292 **Don't build anything without answering these questions.** 293 293 294 ---- 295 - 296 296 == 4. Critical Principles 297 297 298 298 === Automation First ... ... @@ -324,8 +324,6 @@ 324 324 - Accept limitations 325 325 - No overpromising 326 326 327 ---- 328 - 329 329 == 5. POC Decision Gate 330 330 331 331 === After POC, Choose: ... ... @@ -348,8 +348,6 @@ 348 348 - Addressable with better prompts 349 349 - Test again after changes 350 350 351 ---- 352 - 353 353 == 6. Key Risks & Mitigations 354 354 355 355 === Risk 1: AI Quality Not Good Enough ... ... @@ -372,8 +372,6 @@ 372 372 **Mitigation:** Strict scope discipline, say NO to additions 373 373 **Acceptance:** POC is minimal by design 374 374 375 ---- 376 - 377 377 == 7. Success Metrics 378 378 379 379 === POC Success ... ... @@ -395,8 +395,6 @@ 395 395 - Public discourse improves 396 396 - Trust in evidence increases 397 397 398 ---- 399 - 400 400 == 8. What Makes FactHarbor Different 401 401 402 402 === Not Traditional Fact-Checking ... ... @@ -417,8 +417,6 @@ 417 417 - ✅ Making process transparent 418 418 - ✅ Enabling informed decisions 419 419 420 ---- 421 - 422 422 == 9. Core Philosophy 423 423 424 424 **Three Pillars:** ... ... @@ -441,8 +441,6 @@ 441 441 - Evaluate source quality 442 442 - Avoid cherry-picking 443 443 444 ---- 445 - 446 446 == 10. Next Actions 447 447 448 448 === Immediate ... ... @@ -463,8 +463,6 @@ 463 463 □ Learn from failures 464 464 □ Stay focused on mission 465 465 466 ---- 467 - 468 468 == Summary of Summaries 469 469 470 470 **POC Goal:** Prove AI can do this automatically ... ... @@ -479,8 +479,6 @@ 479 479 **Strategy:** Test first, build second. Fail fast. Stay focused. 480 480 **Philosophy:** Scenarios, transparency, evidence. No false certainty. 481 481 482 ---- 483 - 484 484 == Document Status 485 485 486 486 **This document supersedes all previous analysis documents.** ... ... @@ -494,7 +494,5 @@ 494 494 495 495 **Previous documents are archived for reference but this is the authoritative summary.** 496 496 497 ---- 498 - 499 499 **End of Consolidated Summary** 500 500