Changes for page POC Summary (POC1 & POC2)
Last modified by Robert Schaub on 2025/12/24 09:44
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... ... @@ -1,7 +1,11 @@ 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 ==5 +--- 4 4 7 +== 1. POC Specification - DEFINITIVE 8 + 5 5 === POC Goal 6 6 Prove that AI can extract claims and determine verdicts automatically without human intervention. 7 7 ... ... @@ -71,29 +71,172 @@ 71 71 72 72 > "Build less, learn more, decide faster. Test the hardest part first." 73 73 78 +--- 74 74 80 +== 2. Gap Analysis - Strategic Framework 75 75 76 -=== Context-AwareAnalysis (Experimental POC1 Feature) ===82 +=== Framework Definition 77 77 78 -**Problem:** Article credibility ≠ simple average of claim verdicts 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? 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. 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? 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 94 +=== 18 Gaps Identified 87 87 88 -**Testing:** 89 -* 30-article test set 90 -* Success: ≥70% accuracy detecting misleading articles 91 -* Marked as experimental 96 +**Category 1: Accessibility & Inclusivity** 97 +1. WCAG 2.1 Compliance 98 +2. Multilingual Support 92 92 93 -**See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches. 100 +**Category 2: Platform Integration** 101 +3. Browser Extensions 102 +4. Embeddable Widgets 103 +5. ClaimReview Schema 94 94 95 -== 2. Key Strategic Recommendations 105 +**Category 3: Media Verification** 106 +6. Image/Video/Audio Verification 96 96 108 +**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 + 97 97 === Immediate Actions 98 98 99 99 **For POC:** ... ... @@ -144,6 +144,8 @@ 144 144 145 145 **Don't build anything without answering these questions.** 146 146 294 +--- 295 + 147 147 == 4. Critical Principles 148 148 149 149 === Automation First ... ... @@ -175,6 +175,8 @@ 175 175 - Accept limitations 176 176 - No overpromising 177 177 327 +--- 328 + 178 178 == 5. POC Decision Gate 179 179 180 180 === After POC, Choose: ... ... @@ -197,6 +197,8 @@ 197 197 - Addressable with better prompts 198 198 - Test again after changes 199 199 351 +--- 352 + 200 200 == 6. Key Risks & Mitigations 201 201 202 202 === Risk 1: AI Quality Not Good Enough ... ... @@ -219,6 +219,8 @@ 219 219 **Mitigation:** Strict scope discipline, say NO to additions 220 220 **Acceptance:** POC is minimal by design 221 221 375 +--- 376 + 222 222 == 7. Success Metrics 223 223 224 224 === POC Success ... ... @@ -240,6 +240,8 @@ 240 240 - Public discourse improves 241 241 - Trust in evidence increases 242 242 398 +--- 399 + 243 243 == 8. What Makes FactHarbor Different 244 244 245 245 === Not Traditional Fact-Checking ... ... @@ -260,6 +260,8 @@ 260 260 - ✅ Making process transparent 261 261 - ✅ Enabling informed decisions 262 262 420 +--- 421 + 263 263 == 9. Core Philosophy 264 264 265 265 **Three Pillars:** ... ... @@ -282,6 +282,8 @@ 282 282 - Evaluate source quality 283 283 - Avoid cherry-picking 284 284 444 +--- 445 + 285 285 == 10. Next Actions 286 286 287 287 === Immediate ... ... @@ -302,6 +302,8 @@ 302 302 □ Learn from failures 303 303 □ Stay focused on mission 304 304 466 +--- 467 + 305 305 == Summary of Summaries 306 306 307 307 **POC Goal:** Prove AI can do this automatically ... ... @@ -316,6 +316,8 @@ 316 316 **Strategy:** Test first, build second. Fail fast. Stay focused. 317 317 **Philosophy:** Scenarios, transparency, evidence. No false certainty. 318 318 482 +--- 483 + 319 319 == Document Status 320 320 321 321 **This document supersedes all previous analysis documents.** ... ... @@ -329,5 +329,7 @@ 329 329 330 330 **Previous documents are archived for reference but this is the authoritative summary.** 331 331 497 +--- 498 + 332 332 **End of Consolidated Summary** 333 333