Claude Cowork Governance: Guardrails Before You Scale
The trust, safety, and governance controls leaders need around Claude Cowork before scaling agentic knowledge work across the organization.
7 min read
Agentic AI & LLMs
Agentic AI & LLMs archive page 3 of 631
Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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Rolling Out Claude Cowork: Adoption That Actually Sticks
The change-management playbook for Claude Cowork — building durable habits, norms, and team adoption for agentic knowledge work past the pilot.
7 min read
Driving Team Adoption of Claude Code in GTM Engineering
Habits, norms, and change management to make Claude Code stick across a GTM engineering team instead of letting seats sit unused.
7 min read
The ROI of Rebuilding GTM Workflows With Claude Code
A grounded cost model for rebuilding GTM workflows on Claude Code: where time and money savings really come from, and what doesn't pay back.
8 min read
Claude Cowork ROI: Where the Real Savings Come From
A clear breakdown of the Claude Cowork cost model — where agentic knowledge work saves real time and money, and where it quietly burns tokens instead.
7 min read
Migrating workflows to Claude agents safely: a rollout guide
Move an existing workflow onto a Claude agent safely with shadow runs, human-in-the-loop review, canary traffic, and a warm rollback path.
8 min read
Migrating Workflows to Claude Code Without Breaking Them
A safe rollout playbook for moving an existing GTM workflow onto Claude Code — shadow mode, incremental cutover, fallbacks, and outcome metrics.
8 min read
Evals for Claude Code Agents: Gating Releases Safely
Build an eval loop for Claude Code agents — test cases, programmatic and LLM-as-judge graders, regression suites, and release gates for GTM workflows.
7 min read
Evals for Claude agents: measure quality and gate releases
Build an eval loop for Claude agents with golden tasks, trajectory checks, LLM judges, and CI gates that catch regressions before they reach production.
9 min read