Craft · Frameworks
Agents, skills, loops, workflows, composed correctly.
Using the frameworks well means composing agents, skills, loops and workflows so the system does the heavy, repetitive work, deterministically where it must. Humans keep the two ends: the requirements and the quality gate.
Building blocks, not buzzwords.
An agent decides and acts; a skill is a reusable capability; a loop repeats a step until a condition holds; a workflow chains it all in a fixed order. Composed correctly, the system takes on the repetitive heavy lifting, you do not orchestrate every step by hand. The craft is not in the single prompt, but in making these blocks mesh cleanly.
Software example: you write the requirement, not the code.
You state what the software has to do and define the test that proves it. The framework runs the loop: the agent writes code, runs the test suite, reads the errors, fixes, and repeats, until the loop terminates cleanly. You implement nothing by hand; you define what “done” means, and the system works its way there. The same pattern carries from software to any other use case.
Human at the start, human at the end, algorithm in between.
As in any serious software project (ISO, arc42), the result is proven, not trusted. A human-defined metric and a deterministic quality gate decide pass or fail, an algorithm checks, not the model grading itself. The middle may be stochastic; the gate never is. Afterwards everything is documented and structured, ready for the next change.
Where does your work still run by hand?
In the AI Readiness Audit we find the loops in your workflows that a framework can reliably take over, with a clear requirement at the start and a deterministic quality gate at the end. Book the audit and we will show you the first concrete candidate.