From “what can AI do for me” to “this problem has a way forward”.
For solo creators and small teams, a practical path of your own.
Start from real scenarios; clarify goals and constraints.
Identify the right process, tools and checkpoints.
Set observable done-criteria and adjust as you go.
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Start from popular practices on this site.
Claude Cowork and Claude Code share one agentic engine but differ in execution boundary, input surface, and autonomy model; the right choice follows the material you feed them.
See the methodThree different bets about where work happens: local desktop, IDE, and inbox. Benchmarks are not on the same axis; a small synthetic test and pricing shape decide the fit.
See the methodClaude Cowork is a standalone desktop agent; Copilot Cowork is a tenant-bound M365 orchestrator. The choice turns on audit visibility, licensing shape, and whether files must live in OneDrive.
See the methodYes. The consulting process starts from your own tasks: what you do, which step is hardest, what better looks like. Tools come after the task is clear.
Depending on scope: problem and goal notes, current process review, tool rationale, one verifiable mini project, usage guide and a retrospective. Actual services need separate confirmation of scope, timing and fees.
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