Wiki source code of POC Summary (POC1 & POC2)
Version 4.1 by Robert Schaub on 2025/12/23 22:20
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| author | version | line-number | content |
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2.1 | 1 | = FactHarbor - Complete Analysis Summary |
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1.1 | 2 | **Consolidated Document - No Timelines** |
| 3 | **Date:** December 19, 2025 | ||
| 4 | |||
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2.1 | 5 | == 1. POC Specification - DEFINITIVE |
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1.1 | 6 | |
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2.1 | 7 | === POC Goal |
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1.1 | 8 | Prove that AI can extract claims and determine verdicts automatically without human intervention. |
| 9 | |||
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2.1 | 10 | === POC Output (4 Components Only) |
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1.1 | 11 | |
| 12 | **1. ANALYSIS SUMMARY** | ||
| 13 | - 3-5 sentences | ||
| 14 | - How many claims found | ||
| 15 | - Distribution of verdicts | ||
| 16 | - Overall assessment | ||
| 17 | |||
| 18 | **2. CLAIMS IDENTIFICATION** | ||
| 19 | - 3-5 numbered factual claims | ||
| 20 | - Extracted automatically by AI | ||
| 21 | |||
| 22 | **3. CLAIMS VERDICTS** | ||
| 23 | - Per claim: Verdict label + Confidence % + Brief reasoning (1-3 sentences) | ||
| 24 | - Verdict labels: WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED | ||
| 25 | |||
| 26 | **4. ARTICLE SUMMARY (optional)** | ||
| 27 | - 3-5 sentences | ||
| 28 | - Neutral summary of article content | ||
| 29 | |||
| 30 | **Total output: ~200-300 words** | ||
| 31 | |||
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2.1 | 32 | === What's NOT in POC |
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1.1 | 33 | |
| 34 | ❌ Scenarios (multiple interpretations) | ||
| 35 | ❌ Evidence display (supporting/opposing lists) | ||
| 36 | ❌ Source links | ||
| 37 | ❌ Detailed reasoning chains | ||
| 38 | ❌ User accounts, history, search | ||
| 39 | ❌ Browser extensions, API | ||
| 40 | ❌ Accessibility, multilingual, mobile | ||
| 41 | ❌ Export, sharing features | ||
| 42 | ❌ Any other features | ||
| 43 | |||
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2.1 | 44 | === Critical Requirement |
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1.1 | 45 | |
| 46 | **FULLY AUTOMATED - NO MANUAL EDITING** | ||
| 47 | |||
| 48 | This is non-negotiable. POC tests whether AI can do this without human intervention. | ||
| 49 | |||
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2.1 | 50 | === POC Success Criteria |
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1.1 | 51 | |
| 52 | **Passes if:** | ||
| 53 | - ✅ AI extracts 3-5 factual claims automatically | ||
| 54 | - ✅ AI provides reasonable verdicts (≥70% make sense) | ||
| 55 | - ✅ Output is comprehensible | ||
| 56 | - ✅ Team agrees approach has merit | ||
| 57 | - ✅ Minimal or no manual editing needed | ||
| 58 | |||
| 59 | **Fails if:** | ||
| 60 | - ❌ Claim extraction poor (< 60% accuracy) | ||
| 61 | - ❌ Verdicts nonsensical (< 60% reasonable) | ||
| 62 | - ❌ Requires manual editing for most analyses (> 50%) | ||
| 63 | - ❌ Team loses confidence in approach | ||
| 64 | |||
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2.1 | 65 | === POC Architecture |
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1.1 | 66 | |
| 67 | **Frontend:** Simple input form + results display | ||
| 68 | **Backend:** Single API call to Claude (Sonnet 4.5) | ||
| 69 | **Processing:** One prompt generates complete analysis | ||
| 70 | **Database:** None required (stateless) | ||
| 71 | |||
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2.1 | 72 | === POC Philosophy |
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1.1 | 73 | |
| 74 | > "Build less, learn more, decide faster. Test the hardest part first." | ||
| 75 | |||
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4.1 | 76 | |
| 77 | |||
| 78 | === Context-Aware Analysis (Experimental POC1 Feature) === | ||
| 79 | |||
| 80 | **Problem:** Article credibility ≠ simple average of claim verdicts | ||
| 81 | |||
| 82 | **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. | ||
| 83 | |||
| 84 | **Solution (POC1 Test):** Approach 1 - Single-Pass Holistic Analysis | ||
| 85 | * Enhanced AI prompt to evaluate logical structure | ||
| 86 | * AI identifies main argument and assesses if it follows from evidence | ||
| 87 | * Article verdict may differ from claim average | ||
| 88 | * Zero additional cost, no architecture changes | ||
| 89 | |||
| 90 | **Testing:** | ||
| 91 | * 30-article test set | ||
| 92 | * Success: ≥70% accuracy detecting misleading articles | ||
| 93 | * Marked as experimental | ||
| 94 | |||
| 95 | **See:** [[Article Verdict Problem>>Test.FactHarbor.Specification.POC.Article-Verdict-Problem]] for full analysis and solution approaches. | ||
| 96 | |||
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3.1 | 97 | == 2. Key Strategic Recommendations |
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1.1 | 98 | |
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2.1 | 99 | === Immediate Actions |
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1.1 | 100 | |
| 101 | **For POC:** | ||
| 102 | 1. Focus on core functionality only (claims + verdicts) | ||
| 103 | 2. Create basic explainer (1 page) | ||
| 104 | 3. Test AI quality without manual editing | ||
| 105 | 4. Make GO/NO-GO decision | ||
| 106 | |||
| 107 | **Planning:** | ||
| 108 | 1. Define accessibility strategy (when to build) | ||
| 109 | 2. Decide on multilingual priorities (which languages first) | ||
| 110 | 3. Research media verification options (partner vs build) | ||
| 111 | 4. Evaluate browser extension approach | ||
| 112 | |||
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2.1 | 113 | === Testing Strategy |
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1.1 | 114 | |
| 115 | **POC Tests:** Can AI do this without humans? | ||
| 116 | **Beta Tests:** What do users need? What works? What doesn't? | ||
| 117 | **Release Tests:** Is it production-ready? | ||
| 118 | |||
| 119 | **Key Principle:** Test assumptions before building features. | ||
| 120 | |||
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2.1 | 121 | === Build Sequence (Priority Order) |
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1.1 | 122 | |
| 123 | **Must Build:** | ||
| 124 | 1. Core analysis (claims + verdicts) ← POC | ||
| 125 | 2. Educational resources (basic → comprehensive) | ||
| 126 | 3. Accessibility (WCAG 2.1 AA) ← Legal requirement | ||
| 127 | |||
| 128 | **Should Build (Validate First):** | ||
| 129 | 4. Browser extensions ← Test demand | ||
| 130 | 5. Media verification ← Pilot with existing tools | ||
| 131 | 6. Multilingual ← Start with 2-3 languages | ||
| 132 | |||
| 133 | **Can Build Later:** | ||
| 134 | 7. Mobile apps ← PWA first | ||
| 135 | 8. ClaimReview schema ← After content library | ||
| 136 | 9. Export features ← Based on user requests | ||
| 137 | 10. Everything else ← Based on validation | ||
| 138 | |||
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2.1 | 139 | === Decision Framework |
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1.1 | 140 | |
| 141 | **For each feature, ask:** | ||
| 142 | 1. **Importance:** Risk + Impact + Strategy alignment? | ||
| 143 | 2. **Urgency:** Fail fast + Legal + Promises? | ||
| 144 | 3. **Validation:** Do we know users want this? | ||
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2.1 | 145 | 4. **Priority:** When should we build it? |
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1.1 | 146 | |
| 147 | **Don't build anything without answering these questions.** | ||
| 148 | |||
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2.1 | 149 | == 4. Critical Principles |
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1.1 | 150 | |
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2.1 | 151 | === Automation First |
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1.1 | 152 | - AI makes content decisions |
| 153 | - Humans improve algorithms | ||
| 154 | - Scale through code, not people | ||
| 155 | |||
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2.1 | 156 | === Fail Fast |
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1.1 | 157 | - Test assumptions quickly |
| 158 | - Don't build unvalidated features | ||
| 159 | - Accept that experiments may fail | ||
| 160 | - Learn from failures | ||
| 161 | |||
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2.1 | 162 | === Evidence Over Authority |
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1.1 | 163 | - Transparent reasoning visible |
| 164 | - No single "true/false" verdicts | ||
| 165 | - Multiple scenarios shown | ||
| 166 | - Assumptions made explicit | ||
| 167 | |||
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2.1 | 168 | === User Focus |
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1.1 | 169 | - Serve users' needs first |
| 170 | - Build what's actually useful | ||
| 171 | - Don't build what's just "cool" | ||
| 172 | - Measure and iterate | ||
| 173 | |||
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2.1 | 174 | === Honest Assessment |
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1.1 | 175 | - Don't cherry-pick examples |
| 176 | - Document failures openly | ||
| 177 | - Accept limitations | ||
| 178 | - No overpromising | ||
| 179 | |||
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2.1 | 180 | == 5. POC Decision Gate |
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1.1 | 181 | |
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2.1 | 182 | === After POC, Choose: |
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1.1 | 183 | |
| 184 | **GO (Proceed to Beta):** | ||
| 185 | - AI quality ≥70% without editing | ||
| 186 | - Approach validated | ||
| 187 | - Team confident | ||
| 188 | - Clear path to improvement | ||
| 189 | |||
| 190 | **NO-GO (Pivot or Stop):** | ||
| 191 | - AI quality < 60% | ||
| 192 | - Requires manual editing for most | ||
| 193 | - Fundamental flaws identified | ||
| 194 | - Not feasible with current technology | ||
| 195 | |||
| 196 | **ITERATE (Improve & Retry):** | ||
| 197 | - Concept has merit | ||
| 198 | - Specific improvements identified | ||
| 199 | - Addressable with better prompts | ||
| 200 | - Test again after changes | ||
| 201 | |||
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2.1 | 202 | == 6. Key Risks & Mitigations |
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1.1 | 203 | |
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2.1 | 204 | === Risk 1: AI Quality Not Good Enough |
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1.1 | 205 | **Mitigation:** Extensive prompt testing, use best models |
| 206 | **Acceptance:** POC might fail - that's what testing reveals | ||
| 207 | |||
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2.1 | 208 | === Risk 2: Users Don't Understand Output |
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1.1 | 209 | **Mitigation:** Create clear explainer, test with real users |
| 210 | **Acceptance:** Iterate on explanation until comprehensible | ||
| 211 | |||
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2.1 | 212 | === Risk 3: Approach Doesn't Scale |
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1.1 | 213 | **Mitigation:** Start simple, add complexity only when proven |
| 214 | **Acceptance:** POC proves concept, beta proves scale | ||
| 215 | |||
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2.1 | 216 | === Risk 4: Legal/Compliance Issues |
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1.1 | 217 | **Mitigation:** Plan accessibility early, consult legal experts |
| 218 | **Acceptance:** Can't launch publicly without compliance | ||
| 219 | |||
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2.1 | 220 | === Risk 5: Feature Creep |
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1.1 | 221 | **Mitigation:** Strict scope discipline, say NO to additions |
| 222 | **Acceptance:** POC is minimal by design | ||
| 223 | |||
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2.1 | 224 | == 7. Success Metrics |
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1.1 | 225 | |
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2.1 | 226 | === POC Success |
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1.1 | 227 | - AI output quality ≥70% |
| 228 | - Manual editing needed < 30% of time | ||
| 229 | - Team confidence: High | ||
| 230 | - Decision: GO to beta | ||
| 231 | |||
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2.1 | 232 | === Platform Success (Later) |
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1.1 | 233 | - User comprehension ≥80% |
| 234 | - Return user rate ≥30% | ||
| 235 | - Flag rate (user corrections) < 10% | ||
| 236 | - Processing time < 30 seconds | ||
| 237 | - Error rate < 1% | ||
| 238 | |||
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2.1 | 239 | === Mission Success (Long-term) |
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1.1 | 240 | - Users make better-informed decisions |
| 241 | - Misinformation spread reduced | ||
| 242 | - Public discourse improves | ||
| 243 | - Trust in evidence increases | ||
| 244 | |||
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2.1 | 245 | == 8. What Makes FactHarbor Different |
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1.1 | 246 | |
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2.1 | 247 | === Not Traditional Fact-Checking |
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1.1 | 248 | - ❌ No simple "true/false" verdicts |
| 249 | - ✅ Multiple scenarios with context | ||
| 250 | - ✅ Transparent reasoning chains | ||
| 251 | - ✅ Explicit assumptions shown | ||
| 252 | |||
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2.1 | 253 | === Not AI Chatbot |
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1.1 | 254 | - ❌ Not conversational |
| 255 | - ✅ Structured Evidence Models | ||
| 256 | - ✅ Reproducible analysis | ||
| 257 | - ✅ Verifiable sources | ||
| 258 | |||
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2.1 | 259 | === Not Just Automation |
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1.1 | 260 | - ❌ Not replacing human judgment |
| 261 | - ✅ Augmenting human reasoning | ||
| 262 | - ✅ Making process transparent | ||
| 263 | - ✅ Enabling informed decisions | ||
| 264 | |||
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2.1 | 265 | == 9. Core Philosophy |
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1.1 | 266 | |
| 267 | **Three Pillars:** | ||
| 268 | |||
| 269 | **1. Scenarios Over Verdicts** | ||
| 270 | - Show multiple interpretations | ||
| 271 | - Make context explicit | ||
| 272 | - Acknowledge uncertainty | ||
| 273 | - Avoid false certainty | ||
| 274 | |||
| 275 | **2. Transparency Over Authority** | ||
| 276 | - Show reasoning, not just conclusions | ||
| 277 | - Make assumptions explicit | ||
| 278 | - Link to evidence | ||
| 279 | - Enable verification | ||
| 280 | |||
| 281 | **3. Evidence Over Opinions** | ||
| 282 | - Ground claims in sources | ||
| 283 | - Show supporting AND opposing evidence | ||
| 284 | - Evaluate source quality | ||
| 285 | - Avoid cherry-picking | ||
| 286 | |||
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2.1 | 287 | == 10. Next Actions |
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1.1 | 288 | |
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2.1 | 289 | === Immediate |
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1.1 | 290 | □ Review this consolidated summary |
| 291 | □ Confirm POC scope agreement | ||
| 292 | □ Make strategic decisions on key questions | ||
| 293 | □ Begin POC development | ||
| 294 | |||
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2.1 | 295 | === Strategic Planning |
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1.1 | 296 | □ Define accessibility approach |
| 297 | □ Select initial languages for multilingual | ||
| 298 | □ Research media verification partners | ||
| 299 | □ Evaluate browser extension frameworks | ||
| 300 | |||
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2.1 | 301 | === Continuous |
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1.1 | 302 | □ Test assumptions before building |
| 303 | □ Measure everything | ||
| 304 | □ Learn from failures | ||
| 305 | □ Stay focused on mission | ||
| 306 | |||
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2.1 | 307 | == Summary of Summaries |
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1.1 | 308 | |
| 309 | **POC Goal:** Prove AI can do this automatically | ||
| 310 | **POC Scope:** 4 simple components, ~200-300 words | ||
| 311 | **POC Critical:** Fully automated, no manual editing | ||
| 312 | **POC Success:** ≥70% quality without human correction | ||
| 313 | |||
| 314 | **Gap Analysis:** 18 gaps identified, 2 critical (Accessibility + Education) | ||
| 315 | **Framework:** Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises) | ||
| 316 | **Key Insight:** Context matters - urgency changes with milestones | ||
| 317 | |||
| 318 | **Strategy:** Test first, build second. Fail fast. Stay focused. | ||
| 319 | **Philosophy:** Scenarios, transparency, evidence. No false certainty. | ||
| 320 | |||
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2.1 | 321 | == Document Status |
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1.1 | 322 | |
| 323 | **This document supersedes all previous analysis documents.** | ||
| 324 | |||
| 325 | All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references. | ||
| 326 | |||
| 327 | **For detailed specifications, refer to:** | ||
| 328 | - User Needs document (in project knowledge) | ||
| 329 | - Requirements document (in project knowledge) | ||
| 330 | - This summary (comprehensive overview) | ||
| 331 | |||
| 332 | **Previous documents are archived for reference but this is the authoritative summary.** | ||
| 333 | |||
| 334 | **End of Consolidated Summary** | ||
| 335 |