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Version 1.1 by Robert Schaub on 2025/12/23 18:19
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1 # FactHarbor - Complete Analysis Summary
2 **Consolidated Document - No Timelines**
3 **Date:** December 19, 2025
4
5
6 ## 1. POC Specification - DEFINITIVE
7
8 ### POC Goal
9 Prove that AI can extract claims and determine verdicts automatically without human intervention.
10
11 ### POC Output (4 Components Only)
12
13 **1. ANALYSIS SUMMARY**
14 - 3-5 sentences
15 - How many claims found
16 - Distribution of verdicts
17 - Overall assessment
18
19 **2. CLAIMS IDENTIFICATION**
20 - 3-5 numbered factual claims
21 - Extracted automatically by AI
22
23 **3. CLAIMS VERDICTS**
24 - Per claim: Verdict label + Confidence % + Brief reasoning (1-3 sentences)
25 - Verdict labels: WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED
26
27 **4. ARTICLE SUMMARY (optional)**
28 - 3-5 sentences
29 - Neutral summary of article content
30
31 **Total output: ~200-300 words**
32
33 ### What's NOT in POC
34
35 ❌ Scenarios (multiple interpretations)
36 ❌ Evidence display (supporting/opposing lists)
37 ❌ Source links
38 ❌ Detailed reasoning chains
39 ❌ User accounts, history, search
40 ❌ Browser extensions, API
41 ❌ Accessibility, multilingual, mobile
42 ❌ Export, sharing features
43 ❌ Any other features
44
45 ### Critical Requirement
46
47 **FULLY AUTOMATED - NO MANUAL EDITING**
48
49 This is non-negotiable. POC tests whether AI can do this without human intervention.
50
51 ### POC Success Criteria
52
53 **Passes if:**
54 - ✅ AI extracts 3-5 factual claims automatically
55 - ✅ AI provides reasonable verdicts (≥70% make sense)
56 - ✅ Output is comprehensible
57 - ✅ Team agrees approach has merit
58 - ✅ Minimal or no manual editing needed
59
60 **Fails if:**
61 - ❌ Claim extraction poor (< 60% accuracy)
62 - ❌ Verdicts nonsensical (< 60% reasonable)
63 - ❌ Requires manual editing for most analyses (> 50%)
64 - ❌ Team loses confidence in approach
65
66 ### POC Architecture
67
68 **Frontend:** Simple input form + results display
69 **Backend:** Single API call to Claude (Sonnet 4.5)
70 **Processing:** One prompt generates complete analysis
71 **Database:** None required (stateless)
72
73 ### POC Philosophy
74
75 > "Build less, learn more, decide faster. Test the hardest part first."
76
77
78 ## 2. Gap Analysis - Strategic Framework
79
80 ### Framework Definition
81
82 **Importance = f(risk, impact, strategy)**
83 - Risk: What breaks if we don't have this?
84 - Impact: How many users? How severe?
85 - Strategy: Does it advance FactHarbor's mission?
86
87 **Urgency = f(fail fast and learn, legal, promises made)**
88 - Fail fast: Do we need to test assumptions?
89 - Legal: External requirements/deadlines?
90 - Promises: Commitments to stakeholders?
91
92 ### 18 Gaps Identified
93
94 **Category 1: Accessibility & Inclusivity**
95 1. WCAG 2.1 Compliance
96 2. Multilingual Support
97
98 **Category 2: Platform Integration**
99 3. Browser Extensions
100 4. Embeddable Widgets
101 5. ClaimReview Schema
102
103 **Category 3: Media Verification**
104 6. Image/Video/Audio Verification
105
106 **Category 4: Mobile & Offline**
107 7. Mobile Apps / PWA
108 8. Offline Access
109
110 **Category 5: Education & Media Literacy**
111 9. Educational Resources
112 10. Media Literacy Integration
113
114 **Category 6: Collaboration & Community**
115 11. Professional Collaboration Tools
116 12. Community Discussion
117
118 **Category 7: Export & Sharing**
119 13. Export Capabilities (PDF, CSV)
120 14. Social Sharing Optimization
121
122 **Category 8: Advanced Features**
123 15. User Analytics
124 16. Personalization
125 17. Media Archiving
126 18. Advanced Search
127
128 ### Importance/Urgency Analysis
129
130 **VERY HIGH Importance + HIGH Urgency:**
131 1. **Accessibility (WCAG)**
132 - Risk: Legal liability, 15-20% users excluded
133 - Urgency: European Accessibility Act (June 28, 2025)
134 - Action: Must be built from start (retrofitting 100x more expensive)
135
136 2. **Educational Resources**
137 - Risk: Platform fails if users can't understand
138 - Urgency: Required for any adoption
139 - Action: Basic onboarding essential
140
141 **HIGH Importance + MEDIUM Urgency:**
142 3. **Browser Extensions** - Standard user expectation, test demand first
143 4. **Media Verification** - Cannot address visual misinformation without it
144 5. **Multilingual** - Global mission requires it, plan early
145
146 **HIGH Importance + LOW Urgency:**
147 6. **Mobile Apps** - 90%+ users on mobile, but web-first viable
148 7. **ClaimReview Schema** - SEO/discoverability, can add anytime
149
150
151 ## 1.7 POC Alignment with Full Specification
152
153 ### POC Intentional Simplifications
154
155 **POC1 tests core AI capability, not full architecture:**
156
157 **What POC Tests:**
158 - Can AI extract claims from articles?
159 - Can AI evaluate claims with reasonable verdicts?
160 - Is fully automated approach viable?
161 - Is output comprehensible to users?
162
163 **What POC Excludes (Intentionally):**
164 - ❌ Scenarios (deferred to POC2 - open architectural questions remain)
165 - ❌ Evidence display (deferred to POC2)
166 - ❌ Multi-component AKEL pipeline (simplified to single API call)
167 - ❌ Quality gate infrastructure (simplified basic checks)
168 - ❌ Production data model (stateless POC)
169 - ❌ Review workflow system (no review queue)
170
171 **Why Simplified:**
172 - Fail fast: Test hardest part first (AI capability)
173 - Learn before building: POC1 informs architecture decisions
174 - Iterative: Add complexity based on POC1 learnings
175 - Risk management: Prove concept before major investment
176
177 ### Full System Architecture (Future)
178
179 **Workflow:**
180 {{code}}
181 Claims → Scenarios → Evidence → Verdicts
182 {{/code}}
183
184 **AKEL Components:**
185 - Orchestrator
186 - Claim Extractor & Classifier
187 - Scenario Generator
188 - Evidence Summarizer
189 - Contradiction Detector
190 - Quality Gate Validator
191 - Audit Sampling Scheduler
192
193 **Publication Modes:**
194 - Mode 1: Draft-Only
195 - Mode 2: AI-Generated (POC uses this)
196 - Mode 3: AKEL-Generated (Human-Reviewed)
197
198 ### POC vs. Full System Summary
199
200 |=Aspect|=POC1|=Full System
201 |Scenarios|None (deferred to POC2)|Core component with versioning
202 |Workflow|3 steps (input/process/output)|6 phases with quality gates
203 |AKEL|Single API call|Multi-component orchestrated pipeline
204 |Data|Stateless (no DB)|PostgreSQL + Redis + S3
205 |Publication|Mode 2 only|Modes 1/2/3 with risk-based routing
206 |Quality Gates|4 simplified checks|Full validation infrastructure
207
208 ### Gap Between POC and Beta
209
210 **Significant architectural expansion needed:**
211 1. Scenario generation component design and implementation
212 2. Evidence Model full structure
213 3. Multi-phase workflow with gates
214 4. Component-based AKEL architecture
215 5. Production data model and storage
216 6. Review workflow and audit systems
217
218 **POC proves concept. Beta builds product.**
219
220
221 **MEDIUM Importance + LOW Urgency:**
222 8-14. All other features - valuable but not urgent
223
224 **Strategic Decisions Needed:**
225 - Community discussion: Allow or stay evidence-focused?
226 - Personalization: How much without filter bubbles?
227 - Media verification: Partner with existing tools or build?
228
229 ### Key Insight: Milestones Change Priorities
230
231 **POC:** Only educational resources urgent (basic explainer)
232 **Beta:** Accessibility becomes urgent (test with diverse users)
233 **Release:** Legal requirements become critical (WCAG, GDPR)
234
235 **Importance/urgency are contextual, not absolute.**
236
237
238 ## 3. Key Strategic Recommendations
239
240 ### Immediate Actions
241
242 **For POC:**
243 1. Focus on core functionality only (claims + verdicts)
244 2. Create basic explainer (1 page)
245 3. Test AI quality without manual editing
246 4. Make GO/NO-GO decision
247
248 **Planning:**
249 1. Define accessibility strategy (when to build)
250 2. Decide on multilingual priorities (which languages first)
251 3. Research media verification options (partner vs build)
252 4. Evaluate browser extension approach
253
254 ### Testing Strategy
255
256 **POC Tests:** Can AI do this without humans?
257 **Beta Tests:** What do users need? What works? What doesn't?
258 **Release Tests:** Is it production-ready?
259
260 **Key Principle:** Test assumptions before building features.
261
262 ### Build Sequence (Importance Order)
263
264 **Must Build:**
265 1. Core analysis (claims + verdicts) ← POC
266 2. Educational resources (basic → comprehensive)
267 3. Accessibility (WCAG 2.1 AA) ← Legal requirement
268
269 **Should Build (Validate First):**
270 4. Browser extensions ← Test demand
271 5. Media verification ← Pilot with existing tools
272 6. Multilingual ← Start with 2-3 languages
273
274 **Can Build Later:**
275 7. Mobile apps ← PWA first
276 8. ClaimReview schema ← After content library
277 9. Export features ← Based on user requests
278 10. Everything else ← Based on validation
279
280 ### Decision Framework
281
282 **For each feature, ask:**
283 1. **Importance:** Risk + Impact + Strategy alignment?
284 2. **Urgency:** Fail fast + Legal + Promises?
285 3. **Validation:** Do we know users want this?
286 4. **Importance:** When should we build it?
287
288 **Don't build anything without answering these questions.**
289
290
291 ## 4. Critical Principles
292
293 ### Automation First
294 - AI makes content decisions
295 - Humans improve algorithms
296 - Scale through code, not people
297
298 ### Fail Fast
299 - Test assumptions quickly
300 - Don't build unvalidated features
301 - Accept that experiments may fail
302 - Learn from failures
303
304 ### Evidence Over Authority
305 - Transparent reasoning visible
306 - No single "true/false" verdicts
307 - Multiple scenarios shown
308 - Assumptions made explicit
309
310 ### User Focus
311 - Serve users' needs first
312 - Build what's actually useful
313 - Don't build what's just "cool"
314 - Measure and iterate
315
316 ### Honest Assessment
317 - Don't cherry-pick examples
318 - Document failures openly
319 - Accept limitations
320 - No overpromising
321
322
323 ## 5. POC Decision Gate
324
325 ### After POC, Choose:
326
327 **GO (Proceed to Beta):**
328 - AI quality ≥70% without editing
329 - Approach validated
330 - Team confident
331 - Clear path to improvement
332
333 **NO-GO (Pivot or Stop):**
334 - AI quality < 60%
335 - Requires manual editing for most
336 - Fundamental flaws identified
337 - Not feasible with current technology
338
339 **ITERATE (Improve & Retry):**
340 - Concept has merit
341 - Specific improvements identified
342 - Addressable with better prompts
343 - Test again after changes
344
345
346 ## 6. Key Risks & Mitigations
347
348 ### Risk 1: AI Quality Not Good Enough
349 **Mitigation:** Extensive prompt testing, use best models
350 **Acceptance:** POC might fail - that's what testing reveals
351
352 ### Risk 2: Users Don't Understand Output
353 **Mitigation:** Create clear explainer, test with real users
354 **Acceptance:** Iterate on explanation until comprehensible
355
356 ### Risk 3: Approach Doesn't Scale
357 **Mitigation:** Start simple, add complexity only when proven
358 **Acceptance:** POC proves concept, beta proves scale
359
360 ### Risk 4: Legal/Compliance Issues
361 **Mitigation:** Plan accessibility early, consult legal experts
362 **Acceptance:** Can't launch publicly without compliance
363
364 ### Risk 5: Feature Creep
365 **Mitigation:** Strict scope discipline, say NO to additions
366 **Acceptance:** POC is minimal by design
367
368
369 ## 7. Success Metrics
370
371 ### POC Success
372 - AI output quality ≥70%
373 - Manual editing needed < 30% of time
374 - Team confidence: High
375 - Decision: GO to beta
376
377 ### Platform Success (Later)
378 - User comprehension ≥80%
379 - Return user rate ≥30%
380 - Flag rate (user corrections) < 10%
381 - Processing time < 30 seconds
382 - Error rate < 1%
383
384 ### Mission Success (Long-term)
385 - Users make better-informed decisions
386 - Misinformation spread reduced
387 - Public discourse improves
388 - Trust in evidence increases
389
390
391 ## 8. What Makes FactHarbor Different
392
393 ### Not Traditional Fact-Checking
394 - ❌ No simple "true/false" verdicts
395 - ✅ Multiple scenarios with context
396 - ✅ Transparent reasoning chains
397 - ✅ Explicit assumptions shown
398
399 ### Not AI Chatbot
400 - ❌ Not conversational
401 - ✅ Structured Evidence Models
402 - ✅ Reproducible analysis
403 - ✅ Verifiable sources
404
405 ### Not Just Automation
406 - ❌ Not replacing human judgment
407 - ✅ Augmenting human reasoning
408 - ✅ Making process transparent
409 - ✅ Enabling informed decisions
410
411
412 ## 9. Core Philosophy
413
414 **Three Pillars:**
415
416 **1. Scenarios Over Verdicts**
417 - Show multiple interpretations
418 - Make context explicit
419 - Acknowledge uncertainty
420 - Avoid false certainty
421
422 **2. Transparency Over Authority**
423 - Show reasoning, not just conclusions
424 - Make assumptions explicit
425 - Link to evidence
426 - Enable verification
427
428 **3. Evidence Over Opinions**
429 - Ground claims in sources
430 - Show supporting AND opposing evidence
431 - Evaluate source quality
432 - Avoid cherry-picking
433
434
435 ## 10. Next Actions
436
437 ### Immediate
438 □ Review this consolidated summary
439 □ Confirm POC scope agreement
440 □ Make strategic decisions on key questions
441 □ Begin POC development
442
443 ### Strategic Planning
444 □ Define accessibility approach
445 □ Select initial languages for multilingual
446 □ Research media verification partners
447 □ Evaluate browser extension frameworks
448
449 ### Continuous
450 □ Test assumptions before building
451 □ Measure everything
452 □ Learn from failures
453 □ Stay focused on mission
454
455
456 ## Summary of Summaries
457
458 **POC Goal:** Prove AI can do this automatically
459 **POC Scope:** 4 simple components, ~200-300 words
460 **POC Critical:** Fully automated, no manual editing
461 **POC Success:** ≥70% quality without human correction
462
463 **Gap Analysis:** 18 gaps identified, 2 critical (Accessibility + Education)
464 **Framework:** Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises)
465 **Key Insight:** Context matters - urgency changes with milestones
466
467 **Strategy:** Test first, build second. Fail fast. Stay focused.
468 **Philosophy:** Scenarios, transparency, evidence. No false certainty.
469
470
471 ## Document Status
472
473 **This document supersedes all previous analysis documents.**
474
475 All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references.
476
477 **For detailed specifications, refer to:**
478 - User Needs document (in project knowledge)
479 - Requirements document (in project knowledge)
480 - This summary (comprehensive overview)
481
482 **Previous documents are archived for reference but this is the authoritative summary.**
483
484
485 **End of Consolidated Summary**