Getting a Team to Actually Adopt Claude Agents
Change management for Claude agents: the habits, norms, and review rituals that turn a demo into something your whole team uses daily.
7 min read
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From the blog
Latest articles
The Real ROI of Claude Agents: A Cost Model
A concrete cost model for Claude agents: where savings come from, how tokens map to dollars, and how to prove payback to finance.
8 min read
Migrating a Workflow to AI Agents: A Safe Rollout Plan
Move an existing workflow onto a Claude agent safely with a staged rollout — shadow mode, canary, progressive rollout, and instant flag-based rollback.
7 min read
Testing and Evals for AI Agents: Gate Every Release
Build an eval loop for Claude agents — deterministic checks, LLM-as-judge, regression suites — that measures quality and gates releases in CI.
7 min read
Securing AI Agents: Sandboxing, Least Privilege, Defense
Harden Claude agents against prompt injection with sandboxing, least privilege, and secret hygiene — plus a copy-paste secure tool wrapper.
7 min read
Cutting AI Agent Cost: Caching, Batching, Fast Runs
Keep Claude agents cheap and fast with prompt caching, the Message Batches API, model routing, and context discipline — with copy-paste examples.
7 min read
Debugging Claude AI Agents: Loops, Bad Tool Calls, Fixes (Building Effective AI Agents)
Diagnose and fix the failures that break Claude agents: loops, wrong tool calls, and hallucinated arguments — with a copy-paste validation gate.
9 min read
Context Engineering for Claude Agents: What to Include (Building Effective AI Agents)
What to put in a Claude agent's context and what to leave out — tiered context, compaction, just-in-time retrieval — with a diagram, code, and pitfalls.
8 min read
Wiring MCP Tools Into a Claude Agent the Right Way
Connect MCP servers to a Claude agent the right way — auth at the boundary, strict schemas, structured errors, and idempotency — with code and a diagram.
8 min read
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