Agentic-readiness check
A free self-check: where is your team between AI copilot and operator? Six areas, an honest read, no login.
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What we've written on getting a dev team running agents in production, two free self-checks, and the documentation of each product.
A free self-check: where is your team between AI copilot and operator? Six areas, an honest read, no login.
Run the readiness checkA free five-question self-check: is context quietly draining your agents' token bill? A qualitative read and the first lever to pull. No login.
Run the context-cost checkEverything we've written on getting a dev team running AI agents in production, ordered as a path: the gap you're standing at, the four things that make agents work, the people and governance around them, and how to measure it honestly.
Why having AI in the editor isn't the same as running agents in production, and how to tell where your team actually stands.
Why your Claude seats are about ten percent of what these models can do.
The operator runs agents on whole units of work; the copilot finishes your line.
Readiness is six operating dimensions, not a license count.
The engine room. None of these come with a license, and skipping any one is what turns 'we tried agents' into 'agents don't work for us.'
Serve the canonical answer instead of rereading the repo. The real ~60% lives here.
The bill is context, not the model price. The drivers and the levers.
Knowing what your agents did overnight, and why. App monitoring can't tell you.
Making many agents act like a team instead of colliding.
The four engineering layers a fleet needs, not a better prompt.
Reliability is the engineering around the model, not the model.
The tools only get pushed to their limit by developers who trust them. Buy-in isn't the soft part; it's a prerequisite.
The fear of replacement quietly caps the capability you paid for.
The skepticism is usually sound judgment. Change the mode, not the attitude.
Turning developers into operators is taught, not licensed.
How to put a fast, non-human actor with commit access into your organization and still answer for everything it does.
Least privilege, a human at the gate, a defensible audit trail.
The clean-slate demo proves nothing about your real codebase.
How to read whether AI is actually helping, and the build-or-buy and partner decisions that follow.
More of the right work at held quality, not lines of AI-written code.
What prod-grade agentic output actually means, and what it doesn't.
For most teams the real answer is neither pure build nor pure buy.
The in-between bind, and the adoption trap that catches good teams.
Six questions that separate capability transfer from dependency.
Each product documents itself on its own site. The full catalog, with status and hosting mode, is on Products.