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Version 1.1 by Robert Schaub on 2025/12/19 16:13
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Robert Schaub 1.1 1 # FactHarbor - Complete Analysis Summary
2 **Consolidated Document - No Timelines**
3 **Date:** December 19, 2025
4
5 ---
6
7 ## 1. POC Specification - DEFINITIVE
8
9 ### POC Goal
10 Prove that AI can extract claims and determine verdicts automatically without human intervention.
11
12 ### POC Output (4 Components Only)
13
14 **1. ANALYSIS SUMMARY**
15 - 3-5 sentences
16 - How many claims found
17 - Distribution of verdicts
18 - Overall assessment
19
20 **2. CLAIMS IDENTIFICATION**
21 - 3-5 numbered factual claims
22 - Extracted automatically by AI
23
24 **3. CLAIMS VERDICTS**
25 - Per claim: Verdict label + Confidence % + Brief reasoning (1-3 sentences)
26 - Verdict labels: WELL-SUPPORTED / PARTIALLY SUPPORTED / UNCERTAIN / REFUTED
27
28 **4. ARTICLE SUMMARY (optional)**
29 - 3-5 sentences
30 - Neutral summary of article content
31
32 **Total output: ~200-300 words**
33
34 ### What's NOT in POC
35
36 ❌ Scenarios (multiple interpretations)
37 ❌ Evidence display (supporting/opposing lists)
38 ❌ Source links
39 ❌ Detailed reasoning chains
40 ❌ User accounts, history, search
41 ❌ Browser extensions, API
42 ❌ Accessibility, multilingual, mobile
43 ❌ Export, sharing features
44 ❌ Any other features
45
46 ### Critical Requirement
47
48 **FULLY AUTOMATED - NO MANUAL EDITING**
49
50 This is non-negotiable. POC tests whether AI can do this without human intervention.
51
52 ### POC Success Criteria
53
54 **Passes if:**
55 - ✅ AI extracts 3-5 factual claims automatically
56 - ✅ AI provides reasonable verdicts (≥70% make sense)
57 - ✅ Output is comprehensible
58 - ✅ Team agrees approach has merit
59 - ✅ Minimal or no manual editing needed
60
61 **Fails if:**
62 - ❌ Claim extraction poor (< 60% accuracy)
63 - ❌ Verdicts nonsensical (< 60% reasonable)
64 - ❌ Requires manual editing for most analyses (> 50%)
65 - ❌ Team loses confidence in approach
66
67 ### POC Architecture
68
69 **Frontend:** Simple input form + results display
70 **Backend:** Single API call to Claude (Sonnet 4.5)
71 **Processing:** One prompt generates complete analysis
72 **Database:** None required (stateless)
73
74 ### POC Philosophy
75
76 > "Build less, learn more, decide faster. Test the hardest part first."
77
78 ---
79
80 ## 2. Gap Analysis - Strategic Framework
81
82 ### Framework Definition
83
84 **Importance = f(risk, impact, strategy)**
85 - Risk: What breaks if we don't have this?
86 - Impact: How many users? How severe?
87 - Strategy: Does it advance FactHarbor's mission?
88
89 **Urgency = f(fail fast and learn, legal, promises made)**
90 - Fail fast: Do we need to test assumptions?
91 - Legal: External requirements/deadlines?
92 - Promises: Commitments to stakeholders?
93
94 ### 18 Gaps Identified
95
96 **Category 1: Accessibility & Inclusivity**
97 1. WCAG 2.1 Compliance
98 2. Multilingual Support
99
100 **Category 2: Platform Integration**
101 3. Browser Extensions
102 4. Embeddable Widgets
103 5. ClaimReview Schema
104
105 **Category 3: Media Verification**
106 6. Image/Video/Audio Verification
107
108 **Category 4: Mobile & Offline**
109 7. Mobile Apps / PWA
110 8. Offline Access
111
112 **Category 5: Education & Media Literacy**
113 9. Educational Resources
114 10. Media Literacy Integration
115
116 **Category 6: Collaboration & Community**
117 11. Professional Collaboration Tools
118 12. Community Discussion
119
120 **Category 7: Export & Sharing**
121 13. Export Capabilities (PDF, CSV)
122 14. Social Sharing Optimization
123
124 **Category 8: Advanced Features**
125 15. User Analytics
126 16. Personalization
127 17. Media Archiving
128 18. Advanced Search
129
130 ### Importance/Urgency Analysis
131
132 **VERY HIGH Importance + HIGH Urgency:**
133 1. **Accessibility (WCAG)**
134 - Risk: Legal liability, 15-20% users excluded
135 - Urgency: European Accessibility Act (June 28, 2025)
136 - Action: Must be built from start (retrofitting 100x more expensive)
137
138 2. **Educational Resources**
139 - Risk: Platform fails if users can't understand
140 - Urgency: Required for any adoption
141 - Action: Basic onboarding essential
142
143 **HIGH Importance + MEDIUM Urgency:**
144 3. **Browser Extensions** - Standard user expectation, test demand first
145 4. **Media Verification** - Cannot address visual misinformation without it
146 5. **Multilingual** - Global mission requires it, plan early
147
148 **HIGH Importance + LOW Urgency:**
149 6. **Mobile Apps** - 90%+ users on mobile, but web-first viable
150 7. **ClaimReview Schema** - SEO/discoverability, can add anytime
151
152 ---
153
154 ## 1.7 POC Alignment with Full Specification
155
156 ### POC Intentional Simplifications
157
158 **POC1 tests core AI capability, not full architecture:**
159
160 **What POC Tests:**
161 - Can AI extract claims from articles?
162 - Can AI evaluate claims with reasonable verdicts?
163 - Is fully automated approach viable?
164 - Is output comprehensible to users?
165
166 **What POC Excludes (Intentionally):**
167 - ❌ Scenarios (deferred to POC2 - open architectural questions remain)
168 - ❌ Evidence display (deferred to POC2)
169 - ❌ Multi-component AKEL pipeline (simplified to single API call)
170 - ❌ Quality gate infrastructure (simplified basic checks)
171 - ❌ Production data model (stateless POC)
172 - ❌ Review workflow system (no review queue)
173
174 **Why Simplified:**
175 - Fail fast: Test hardest part first (AI capability)
176 - Learn before building: POC1 informs architecture decisions
177 - Iterative: Add complexity based on POC1 learnings
178 - Risk management: Prove concept before major investment
179
180 ### Full System Architecture (Future)
181
182 **Workflow:**
183 {{code}}
184 Claims → Scenarios → Evidence → Verdicts
185 {{/code}}
186
187 **AKEL Components:**
188 - Orchestrator
189 - Claim Extractor & Classifier
190 - Scenario Generator
191 - Evidence Summarizer
192 - Contradiction Detector
193 - Quality Gate Validator
194 - Audit Sampling Scheduler
195
196 **Publication Modes:**
197 - Mode 1: Draft-Only
198 - Mode 2: AI-Generated (POC uses this)
199 - Mode 3: AKEL-Generated (Human-Reviewed)
200
201 ### POC vs. Full System Summary
202
203 |=Aspect|=POC1|=Full System
204 |Scenarios|None (deferred to POC2)|Core component with versioning
205 |Workflow|3 steps (input/process/output)|6 phases with quality gates
206 |AKEL|Single API call|Multi-component orchestrated pipeline
207 |Data|Stateless (no DB)|PostgreSQL + Redis + S3
208 |Publication|Mode 2 only|Modes 1/2/3 with risk-based routing
209 |Quality Gates|4 simplified checks|Full validation infrastructure
210
211 ### Gap Between POC and Beta
212
213 **Significant architectural expansion needed:**
214 1. Scenario generation component design and implementation
215 2. Evidence Model full structure
216 3. Multi-phase workflow with gates
217 4. Component-based AKEL architecture
218 5. Production data model and storage
219 6. Review workflow and audit systems
220
221 **POC proves concept. Beta builds product.**
222
223
224 **MEDIUM Importance + LOW Urgency:**
225 8-14. All other features - valuable but not urgent
226
227 **Strategic Decisions Needed:**
228 - Community discussion: Allow or stay evidence-focused?
229 - Personalization: How much without filter bubbles?
230 - Media verification: Partner with existing tools or build?
231
232 ### Key Insight: Milestones Change Priorities
233
234 **POC:** Only educational resources urgent (basic explainer)
235 **Beta:** Accessibility becomes urgent (test with diverse users)
236 **Release:** Legal requirements become critical (WCAG, GDPR)
237
238 **Importance/urgency are contextual, not absolute.**
239
240 ---
241
242 ## 3. Key Strategic Recommendations
243
244 ### Immediate Actions
245
246 **For POC:**
247 1. Focus on core functionality only (claims + verdicts)
248 2. Create basic explainer (1 page)
249 3. Test AI quality without manual editing
250 4. Make GO/NO-GO decision
251
252 **Planning:**
253 1. Define accessibility strategy (when to build)
254 2. Decide on multilingual priorities (which languages first)
255 3. Research media verification options (partner vs build)
256 4. Evaluate browser extension approach
257
258 ### Testing Strategy
259
260 **POC Tests:** Can AI do this without humans?
261 **Beta Tests:** What do users need? What works? What doesn't?
262 **Release Tests:** Is it production-ready?
263
264 **Key Principle:** Test assumptions before building features.
265
266 ### Build Sequence (Priority Order)
267
268 **Must Build:**
269 1. Core analysis (claims + verdicts) ← POC
270 2. Educational resources (basic → comprehensive)
271 3. Accessibility (WCAG 2.1 AA) ← Legal requirement
272
273 **Should Build (Validate First):**
274 4. Browser extensions ← Test demand
275 5. Media verification ← Pilot with existing tools
276 6. Multilingual ← Start with 2-3 languages
277
278 **Can Build Later:**
279 7. Mobile apps ← PWA first
280 8. ClaimReview schema ← After content library
281 9. Export features ← Based on user requests
282 10. Everything else ← Based on validation
283
284 ### Decision Framework
285
286 **For each feature, ask:**
287 1. **Importance:** Risk + Impact + Strategy alignment?
288 2. **Urgency:** Fail fast + Legal + Promises?
289 3. **Validation:** Do we know users want this?
290 4. **Priority:** When should we build it?
291
292 **Don't build anything without answering these questions.**
293
294 ---
295
296 ## 4. Critical Principles
297
298 ### Automation First
299 - AI makes content decisions
300 - Humans improve algorithms
301 - Scale through code, not people
302
303 ### Fail Fast
304 - Test assumptions quickly
305 - Don't build unvalidated features
306 - Accept that experiments may fail
307 - Learn from failures
308
309 ### Evidence Over Authority
310 - Transparent reasoning visible
311 - No single "true/false" verdicts
312 - Multiple scenarios shown
313 - Assumptions made explicit
314
315 ### User Focus
316 - Serve users' needs first
317 - Build what's actually useful
318 - Don't build what's just "cool"
319 - Measure and iterate
320
321 ### Honest Assessment
322 - Don't cherry-pick examples
323 - Document failures openly
324 - Accept limitations
325 - No overpromising
326
327 ---
328
329 ## 5. POC Decision Gate
330
331 ### After POC, Choose:
332
333 **GO (Proceed to Beta):**
334 - AI quality ≥70% without editing
335 - Approach validated
336 - Team confident
337 - Clear path to improvement
338
339 **NO-GO (Pivot or Stop):**
340 - AI quality < 60%
341 - Requires manual editing for most
342 - Fundamental flaws identified
343 - Not feasible with current technology
344
345 **ITERATE (Improve & Retry):**
346 - Concept has merit
347 - Specific improvements identified
348 - Addressable with better prompts
349 - Test again after changes
350
351 ---
352
353 ## 6. Key Risks & Mitigations
354
355 ### Risk 1: AI Quality Not Good Enough
356 **Mitigation:** Extensive prompt testing, use best models
357 **Acceptance:** POC might fail - that's what testing reveals
358
359 ### Risk 2: Users Don't Understand Output
360 **Mitigation:** Create clear explainer, test with real users
361 **Acceptance:** Iterate on explanation until comprehensible
362
363 ### Risk 3: Approach Doesn't Scale
364 **Mitigation:** Start simple, add complexity only when proven
365 **Acceptance:** POC proves concept, beta proves scale
366
367 ### Risk 4: Legal/Compliance Issues
368 **Mitigation:** Plan accessibility early, consult legal experts
369 **Acceptance:** Can't launch publicly without compliance
370
371 ### Risk 5: Feature Creep
372 **Mitigation:** Strict scope discipline, say NO to additions
373 **Acceptance:** POC is minimal by design
374
375 ---
376
377 ## 7. Success Metrics
378
379 ### POC Success
380 - AI output quality ≥70%
381 - Manual editing needed < 30% of time
382 - Team confidence: High
383 - Decision: GO to beta
384
385 ### Platform Success (Later)
386 - User comprehension ≥80%
387 - Return user rate ≥30%
388 - Flag rate (user corrections) < 10%
389 - Processing time < 30 seconds
390 - Error rate < 1%
391
392 ### Mission Success (Long-term)
393 - Users make better-informed decisions
394 - Misinformation spread reduced
395 - Public discourse improves
396 - Trust in evidence increases
397
398 ---
399
400 ## 8. What Makes FactHarbor Different
401
402 ### Not Traditional Fact-Checking
403 - ❌ No simple "true/false" verdicts
404 - ✅ Multiple scenarios with context
405 - ✅ Transparent reasoning chains
406 - ✅ Explicit assumptions shown
407
408 ### Not AI Chatbot
409 - ❌ Not conversational
410 - ✅ Structured Evidence Models
411 - ✅ Reproducible analysis
412 - ✅ Verifiable sources
413
414 ### Not Just Automation
415 - ❌ Not replacing human judgment
416 - ✅ Augmenting human reasoning
417 - ✅ Making process transparent
418 - ✅ Enabling informed decisions
419
420 ---
421
422 ## 9. Core Philosophy
423
424 **Three Pillars:**
425
426 **1. Scenarios Over Verdicts**
427 - Show multiple interpretations
428 - Make context explicit
429 - Acknowledge uncertainty
430 - Avoid false certainty
431
432 **2. Transparency Over Authority**
433 - Show reasoning, not just conclusions
434 - Make assumptions explicit
435 - Link to evidence
436 - Enable verification
437
438 **3. Evidence Over Opinions**
439 - Ground claims in sources
440 - Show supporting AND opposing evidence
441 - Evaluate source quality
442 - Avoid cherry-picking
443
444 ---
445
446 ## 10. Next Actions
447
448 ### Immediate
449 □ Review this consolidated summary
450 □ Confirm POC scope agreement
451 □ Make strategic decisions on key questions
452 □ Begin POC development
453
454 ### Strategic Planning
455 □ Define accessibility approach
456 □ Select initial languages for multilingual
457 □ Research media verification partners
458 □ Evaluate browser extension frameworks
459
460 ### Continuous
461 □ Test assumptions before building
462 □ Measure everything
463 □ Learn from failures
464 □ Stay focused on mission
465
466 ---
467
468 ## Summary of Summaries
469
470 **POC Goal:** Prove AI can do this automatically
471 **POC Scope:** 4 simple components, ~200-300 words
472 **POC Critical:** Fully automated, no manual editing
473 **POC Success:** ≥70% quality without human correction
474
475 **Gap Analysis:** 18 gaps identified, 2 critical (Accessibility + Education)
476 **Framework:** Importance (risk + impact + strategy) + Urgency (fail fast + legal + promises)
477 **Key Insight:** Context matters - urgency changes with milestones
478
479 **Strategy:** Test first, build second. Fail fast. Stay focused.
480 **Philosophy:** Scenarios, transparency, evidence. No false certainty.
481
482 ---
483
484 ## Document Status
485
486 **This document supersedes all previous analysis documents.**
487
488 All gap analysis, POC specifications, and strategic frameworks are consolidated here without timeline references.
489
490 **For detailed specifications, refer to:**
491 - User Needs document (in project knowledge)
492 - Requirements document (in project knowledge)
493 - This summary (comprehensive overview)
494
495 **Previous documents are archived for reference but this is the authoritative summary.**
496
497 ---
498
499 **End of Consolidated Summary**
500