Start an AI Agent Workflow Studio

1. 1

   Master one agent framework deeply

   Learn one open-source stateful-agent framework until you can build a workflow with memory, branching, and human review points. Depth in one stack beats sampling five; clients pay for systems that do not break.

2. 2

   Design for reliability, not demos

   Real workflows need retries, guardrails, logging, and a human-in-the-loop step for high-stakes actions. The boring reliability layer is why businesses hire you instead of tinkering themselves.

3. 3

   Build two workflow demos

   Solve two real multi-step problems, like an inbound lead qualifier that researches and routes, or a document intake agent that extracts and files. Working demos on real processes close deals.

4. 4

   Scope and price like software

   Fixed-price builds ($3,000 to $15,000 by complexity) plus a monthly care plan ($300 to $1,000) for hosting, monitoring, and updates. The retainer is where a project business becomes a real one.

5. 5

   Pick one industry to compound

   Agencies, clinics, or logistics firms each have repeatable workflow needs. One vertical lets you reuse patterns and become the obvious specialist.

6. 6

   Document handoff and ownership

   Clear contracts on data, hosting, and what happens if you or a dependency disappears. Professional paperwork is what lets you charge professional prices.

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