How To Use: Tri-Backlog Resolver (Level 2)
This companion web application resolves the unresolved questions (PVP, Customer Persona, Value Proposition, or Brand Identity backlogs) identified during your initial 10-minute Level 1 voice onboarding interview.
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1. Upload Level 1 File
Drag and drop your saved Level 1 text file (e.g.
Expert_AI_Prompts_Matthew_Bulat_CustomerPersona_17Aug2026.txt) into the upload card below. - 2. Resolve SWOT Decisions Identify personal strategic trade-offs. Fill out Pros, Cons, and SWOT textareas to lock in final decisions.
- 3. Collect Google & Deep Research Copy custom-tailored prompts to Google Gemini or ChatGPT. Paste raw answers back to generate 3-point tactical summaries.
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4. Export _Level2 Text
Appends resolved intelligence, strips outstanding blocks, and exports file named with
_Level2.txtsuffix.
1. Outstanding Personal Decisions
Resolve trade-offs using structured SWOT & Pros vs. Cons analysis
2. Quick Google Lookups
Batch research fast factual data points via web search assistants
Batch Search Prompt Builder
Run this prompt in Google Gemini, ChatGPT, or Claude to resolve all fast lookup queries in a single pass.
Structured Search Insight Cards
3. Deep Research & Analysis
Conduct extensive, custom B2B industry research and synthesize 3-point tactical summaries
Ready to Compile Level 2?
This will stitch your resolved Decisions, Google Insights, and Deep Research summaries back into your Level 1 document structure and download a pristine _Level2.txt file.
Consistency Check — 3-Stage Review
Upload an already-compiled _Level2.txt file (including one you've hand-edited to apply a resolved decision) and this runs a three-stage review before you use it downstream: 1. Self-QA automatically scans for values that look out of sync — a MACHINE DATA BLOCK field that doesn't match Section B's own copy, an old placeholder that a decision already resolved, or an identity field that never made it into the free-text Narrative. 2. Interim Yes/No puts every finding in front of you as a one-click confirmation — nothing is changed automatically. 3. Final Update applies only what you confirmed, logs the review inside the file itself as a new Section G, and downloads a reviewed copy alongside your original.
Detection is best-effort text pattern matching, not a language model — it's tuned to catch the exact class of miss this was built for (a resolved decision that didn't propagate everywhere), not to guarantee full accuracy. Always read each finding before confirming.
Stage 1 · Self-QA
Stage 3 · Final Update
Applies every confirmed change, logs the review as a new Section G, and downloads a reviewed copy (original file is left untouched).