Wiki source code of POC Summary (POC1 & POC2)

Version 4.1 by Robert Schaub on 2025/12/23 22:20

Show last authors
1 = FactHarbor - Complete Analysis Summary
2 **Consolidated Document - No Timelines**
3 **Date:** December 19, 2025
4
5 == 1. POC Specification - DEFINITIVE
6
7 === POC Goal
8 Prove that AI can extract claims and determine verdicts automatically without human intervention.
9
10 === POC Output (4 Components Only)
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
32 === What's NOT in POC
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
44 === Critical Requirement
45
46 **FULLY AUTOMATED - NO MANUAL EDITING**
47
48 This is non-negotiable. POC tests whether AI can do this without human intervention.
49
50 === POC Success Criteria
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
65 === POC Architecture
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
72 === POC Philosophy
73
74 > "Build less, learn more, decide faster. Test the hardest part first."
75
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
97 == 2. Key Strategic Recommendations
98
99 === Immediate Actions
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
113 === Testing Strategy
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
121 === Build Sequence (Priority Order)
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
139 === Decision Framework
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?
145 4. **Priority:** When should we build it?
146
147 **Don't build anything without answering these questions.**
148
149 == 4. Critical Principles
150
151 === Automation First
152 - AI makes content decisions
153 - Humans improve algorithms
154 - Scale through code, not people
155
156 === Fail Fast
157 - Test assumptions quickly
158 - Don't build unvalidated features
159 - Accept that experiments may fail
160 - Learn from failures
161
162 === Evidence Over Authority
163 - Transparent reasoning visible
164 - No single "true/false" verdicts
165 - Multiple scenarios shown
166 - Assumptions made explicit
167
168 === User Focus
169 - Serve users' needs first
170 - Build what's actually useful
171 - Don't build what's just "cool"
172 - Measure and iterate
173
174 === Honest Assessment
175 - Don't cherry-pick examples
176 - Document failures openly
177 - Accept limitations
178 - No overpromising
179
180 == 5. POC Decision Gate
181
182 === After POC, Choose:
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
202 == 6. Key Risks & Mitigations
203
204 === Risk 1: AI Quality Not Good Enough
205 **Mitigation:** Extensive prompt testing, use best models
206 **Acceptance:** POC might fail - that's what testing reveals
207
208 === Risk 2: Users Don't Understand Output
209 **Mitigation:** Create clear explainer, test with real users
210 **Acceptance:** Iterate on explanation until comprehensible
211
212 === Risk 3: Approach Doesn't Scale
213 **Mitigation:** Start simple, add complexity only when proven
214 **Acceptance:** POC proves concept, beta proves scale
215
216 === Risk 4: Legal/Compliance Issues
217 **Mitigation:** Plan accessibility early, consult legal experts
218 **Acceptance:** Can't launch publicly without compliance
219
220 === Risk 5: Feature Creep
221 **Mitigation:** Strict scope discipline, say NO to additions
222 **Acceptance:** POC is minimal by design
223
224 == 7. Success Metrics
225
226 === POC Success
227 - AI output quality ≥70%
228 - Manual editing needed < 30% of time
229 - Team confidence: High
230 - Decision: GO to beta
231
232 === Platform Success (Later)
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
239 === Mission Success (Long-term)
240 - Users make better-informed decisions
241 - Misinformation spread reduced
242 - Public discourse improves
243 - Trust in evidence increases
244
245 == 8. What Makes FactHarbor Different
246
247 === Not Traditional Fact-Checking
248 - ❌ No simple "true/false" verdicts
249 - ✅ Multiple scenarios with context
250 - ✅ Transparent reasoning chains
251 - ✅ Explicit assumptions shown
252
253 === Not AI Chatbot
254 - ❌ Not conversational
255 - ✅ Structured Evidence Models
256 - ✅ Reproducible analysis
257 - ✅ Verifiable sources
258
259 === Not Just Automation
260 - ❌ Not replacing human judgment
261 - ✅ Augmenting human reasoning
262 - ✅ Making process transparent
263 - ✅ Enabling informed decisions
264
265 == 9. Core Philosophy
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
287 == 10. Next Actions
288
289 === Immediate
290 □ Review this consolidated summary
291 □ Confirm POC scope agreement
292 □ Make strategic decisions on key questions
293 □ Begin POC development
294
295 === Strategic Planning
296 □ Define accessibility approach
297 □ Select initial languages for multilingual
298 □ Research media verification partners
299 □ Evaluate browser extension frameworks
300
301 === Continuous
302 □ Test assumptions before building
303 □ Measure everything
304 □ Learn from failures
305 □ Stay focused on mission
306
307 == Summary of Summaries
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
321 == Document Status
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**