[ EVIDENCE_GATHERING ]
The Uncomfortable
Truth.
You blamed the timeline.
But shipping later wouldn't have saved it. The problem existed long before the deadline.
You blamed the team.
But the people weren't wrong. The decisions were wrong. And most of those were yours.
You blamed the market.
But the market didn't care — because you never truly understood what problem you were solving.
The real cause is buried in week one.
In the architecture decision you made at 11pm. The scope you agreed to but knew was wrong.
The Path to
Absolute Truth
Ingest Data
Securely scan codebases and documentation for anomalies.
Isolate Variables
Discard market noise to focus on architectural decisions.
Confirm Evidence
Validate hypotheses through structured human input.
Final Verdict
Generate a professional post-mortem for stakeholders.
This isn't a
chatbot.
Inquest is an autonomous agent. Here's exactly how it differs from generic LLM tools.
Generic Chatbot
Inquest Agent
[ CASE_FILE_OUTPUT ]
The Forensic
Report.
Dynamic Analysis
Stop generating static PDFs. Our reporting interface is alive, updating as you provide more evidence.
- Hypothesis belief tracking
- Contextual code deep-links
- Visual confidence scoring
Momentum Productivity App
Forensic Root Cause
"You built the engine before you knew anyone needed to ride. The ActivityFeedEngine tracked 47 different user actions before anyone confirmed that users wanted a feed."
Recovered Assets
Real-time sync arch
Blame Vector
Over-engineering