Archive / Topic
#ai
7 posts, newest first
Running reproducible bioinformatics pipelines from your AI assistant
AI can already look up biological data and plan an analysis. What it could not do was run a pipeline and prove the result. FlowProof is an open MCP server that closes that gap with verifiable provenance.
Why AI agents fail in production: state drift, not prompt drift
A practical state-convergence playbook for project-scoped agent systems
MCP tools need API-grade contracts
Why MCP servers should be thin, reliable protocol adapters - not application logic hosts
Run pgvector like production database infrastructure
What it actually takes to run Postgres with pgvector reliably in production
Retrieval output still needs a context contract
Search output is not prompt-ready context. Assembly is a first-class subsystem.
Retrieval works when vector search has backup
Why reliable retrieval needs layered fallback chains, not vector-only optimism
Schema discipline decides retrieval reliability
Schema quality determines long-term correctness more than any algorithm choice
Often tagged alongside ai