Skip to Content

Wiki source code of POC Summary (POC1 & POC2)

Version 3.1 by Robert Schaub on 2025/12/23 21:14
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 == 2. Key Strategic Recommendations
77
78 === Immediate Actions
79
80 **For POC:**
81 1. Focus on core functionality only (claims + verdicts)
82 2. Create basic explainer (1 page)
83 3. Test AI quality without manual editing
84 4. Make GO/NO-GO decision
85
86 **Planning:**
87 1. Define accessibility strategy (when to build)
88 2. Decide on multilingual priorities (which languages first)
89 3. Research media verification options (partner vs build)
90 4. Evaluate browser extension approach
91
92 === Testing Strategy
93
94 **POC Tests:** Can AI do this without humans?
95 **Beta Tests:** What do users need? What works? What doesn't?
96 **Release Tests:** Is it production-ready?
97
98 **Key Principle:** Test assumptions before building features.
99
100 === Build Sequence (Priority Order)
101
102 **Must Build:**
103 1. Core analysis (claims + verdicts) ← POC
104 2. Educational resources (basic → comprehensive)
105 3. Accessibility (WCAG 2.1 AA) ← Legal requirement
106
107 **Should Build (Validate First):**
108 4. Browser extensions ← Test demand
109 5. Media verification ← Pilot with existing tools
110 6. Multilingual ← Start with 2-3 languages
111
112 **Can Build Later:**
113 7. Mobile apps ← PWA first
114 8. ClaimReview schema ← After content library
115 9. Export features ← Based on user requests
116 10. Everything else ← Based on validation
117
118 === Decision Framework
119
120 **For each feature, ask:**
121 1. **Importance:** Risk + Impact + Strategy alignment?
122 2. **Urgency:** Fail fast + Legal + Promises?
123 3. **Validation:** Do we know users want this?
124 4. **Priority:** When should we build it?
125
126 **Don't build anything without answering these questions.**
127
128 == 4. Critical Principles
129
130 === Automation First
131 - AI makes content decisions
132 - Humans improve algorithms
133 - Scale through code, not people
134
135 === Fail Fast
136 - Test assumptions quickly
137 - Don't build unvalidated features
138 - Accept that experiments may fail
139 - Learn from failures
140
141 === Evidence Over Authority
142 - Transparent reasoning visible
143 - No single "true/false" verdicts
144 - Multiple scenarios shown
145 - Assumptions made explicit
146
147 === User Focus
148 - Serve users' needs first
149 - Build what's actually useful
150 - Don't build what's just "cool"
151 - Measure and iterate
152
153 === Honest Assessment
154 - Don't cherry-pick examples
155 - Document failures openly
156 - Accept limitations
157 - No overpromising
158
159 == 5. POC Decision Gate
160
161 === After POC, Choose:
162
163 **GO (Proceed to Beta):**
164 - AI quality ≥70% without editing
165 - Approach validated
166 - Team confident
167 - Clear path to improvement
168
169 **NO-GO (Pivot or Stop):**
170 - AI quality < 60%
171 - Requires manual editing for most
172 - Fundamental flaws identified
173 - Not feasible with current technology
174
175 **ITERATE (Improve & Retry):**
176 - Concept has merit
177 - Specific improvements identified
178 - Addressable with better prompts
179 - Test again after changes
180
181 == 6. Key Risks & Mitigations
182
183 === Risk 1: AI Quality Not Good Enough
184 **Mitigation:** Extensive prompt testing, use best models
185 **Acceptance:** POC might fail - that's what testing reveals
186
187 === Risk 2: Users Don't Understand Output
188 **Mitigation:** Create clear explainer, test with real users
189 **Acceptance:** Iterate on explanation until comprehensible
190
191 === Risk 3: Approach Doesn't Scale
192 **Mitigation:** Start simple, add complexity only when proven
193 **Acceptance:** POC proves concept, beta proves scale
194
195 === Risk 4: Legal/Compliance Issues
196 **Mitigation:** Plan accessibility early, consult legal experts
197 **Acceptance:** Can't launch publicly without compliance
198
199 === Risk 5: Feature Creep
200 **Mitigation:** Strict scope discipline, say NO to additions
201 **Acceptance:** POC is minimal by design
202
203 == 7. Success Metrics
204
205 === POC Success
206 - AI output quality ≥70%
207 - Manual editing needed < 30% of time
208 - Team confidence: High
209 - Decision: GO to beta
210
211 === Platform Success (Later)
212 - User comprehension ≥80%
213 - Return user rate ≥30%
214 - Flag rate (user corrections) < 10%
215 - Processing time < 30 seconds
216 - Error rate < 1%
217
218 === Mission Success (Long-term)
219 - Users make better-informed decisions
220 - Misinformation spread reduced
221 - Public discourse improves
222 - Trust in evidence increases
223
224 == 8. What Makes FactHarbor Different
225
226 === Not Traditional Fact-Checking
227 - ❌ No simple "true/false" verdicts
228 - ✅ Multiple scenarios with context
229 - ✅ Transparent reasoning chains
230 - ✅ Explicit assumptions shown
231
232 === Not AI Chatbot
233 - ❌ Not conversational
234 - ✅ Structured Evidence Models
235 - ✅ Reproducible analysis
236 - ✅ Verifiable sources
237
238 === Not Just Automation
239 - ❌ Not replacing human judgment
240 - ✅ Augmenting human reasoning
241 - ✅ Making process transparent
242 - ✅ Enabling informed decisions
243
244 == 9. Core Philosophy
245
246 **Three Pillars:**
247
248 **1. Scenarios Over Verdicts**
249 - Show multiple interpretations
250 - Make context explicit
251 - Acknowledge uncertainty
252 - Avoid false certainty
253
254 **2. Transparency Over Authority**
255 - Show reasoning, not just conclusions
256 - Make assumptions explicit
257 - Link to evidence
258 - Enable verification
259
260 **3. Evidence Over Opinions**
261 - Ground claims in sources
262 - Show supporting AND opposing evidence
263 - Evaluate source quality
264 - Avoid cherry-picking
265
266 == 10. Next Actions
267
268 === Immediate
269 □ Review this consolidated summary
270 □ Confirm POC scope agreement
271 □ Make strategic decisions on key questions
272 □ Begin POC development
273
274 === Strategic Planning
275 □ Define accessibility approach
276 □ Select initial languages for multilingual
277 □ Research media verification partners
278 □ Evaluate browser extension frameworks
279
280 === Continuous
281 □ Test assumptions before building
282 □ Measure everything
283 □ Learn from failures
284 □ Stay focused on mission
285
286 == Summary of Summaries
287
288 **POC Goal:** Prove AI can do this automatically
289 **POC Scope:** 4 simple components, ~200-300 words
290 **POC Critical:** Fully automated, no manual editing
291 **POC Success:** ≥70% quality without human correction
292
293 **Gap Analysis:** 18 gaps identified, 2 critical (Accessibility + Education)
294 **Framework:** Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises)
295 **Key Insight:** Context matters - urgency changes with milestones
296
297 **Strategy:** Test first, build second. Fail fast. Stay focused.
298 **Philosophy:** Scenarios, transparency, evidence. No false certainty.
299
300 == Document Status
301
302 **This document supersedes all previous analysis documents.**
303
304 All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references.
305
306 **For detailed specifications, refer to:**
307 - User Needs document (in project knowledge)
308 - Requirements document (in project knowledge)
309 - This summary (comprehensive overview)
310
311 **Previous documents are archived for reference but this is the authoritative summary.**
312
313 **End of Consolidated Summary**