AI agents in a team: evaluate quality, costs and responsibility
Evaluate AI agents at work: quality, complete-task cost, ownership and criteria for adopting, limiting or stopping a pilot.
Blog / Matteo Vincenti
Notes from work.
I write about AI in everyday work, software development and how teams work together. I start with business problems and explore the technical decisions.
18 articles in AI, page 2 of 2
Category: AI Clear category
Context engineering: sources, memory and handoffs for resuming work
Organise context, sources and handoffs for AI agents. A real Notion knowledge path, from METR findings to reuse and ongoing maintenance.
LangChain, LangGraph, OpenRouter and Langfuse: what to choose and when
Compare LangChain, LangGraph, OpenRouter and Langfuse by role and use case: practical criteria for business AI projects, with technical details.
How I am measuring the real cost of Claude and Codex
Research in progress on the cost of Claude and Codex tasks: usage, time and human review, with commands and settings for the workflow variants to compare.
Skills for Claude and Codex: build a review and see when it runs
Build a code review skill for Claude and Codex. A lab compares two descriptions across four Codex sessions, with observed results and limits.
MCP: what it is, how to build a server and which tools to choose
What MCP does and when to adopt it: business processes, costs, permissions and decision criteria, with a complete server example.
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