Wiki source code of POC Summary (POC1 & POC2)

Version 5.1 by Robert Schaub on 2025/12/23 22:59

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