Requesting Review: AI Diagnostic Agent Architecture with Evidence Reconciliation
_Kibuku · reddit · 2026-08-10
The author is designing an AI diagnostic system for business assessments and is seeking architectural peer review. The core workflow includes Intake, Conversation, Evidence extraction, Reconciliation, Validation, Findings, Human Review, and Report.
To ensure rigor, a G0 to G8 control model is proposed, requiring specific evidence or review conditions before advancing. The author asks developers with RAG/Agent experience for feedback on the architecture's viability, where to use deterministic rules, potential failure modes, and MVP scope.
More from coding & agent
- Shift in AI Coding Workflows: Embracing Long Context Over New Threads — JeremyNguyenPhD · 2026-08-10
- Rust and WASM Optimizations Deliver Massive Speedups for AI Projects — doodlestein · 2026-08-10
- Meta Releases Muse Glimmer: 30B Open-Weights Model for Local Agent Workflows — rohanpaul_ai · 2026-08-10
- Disentangling AI Agent Authorization: Access Control vs Data Binding — Prestigious-Run-1954 · 2026-08-10
- Proposal: Every Company Needs a Background AI Agent to Act as 'Cassandra' — threepointone · 2026-08-10
- Claude Desktop Reported Missing Latest MCP Protocol Support — Otherwise-Rip-9842 · 2026-08-10