The AI Workflow Starter Kit
A practical 13-page guide for designing an AI agent a business can actually trust, with approval gates, scoped memory, and a build order.
What this is
The AI Workflow Starter Kit shows how to build an AI agent a business can actually trust.
Someone posted a $1,000 Upwork job for a real AI agent: not a chatbot, not a no-code wrapper. A consultant wanted a self-hostable system that could plug into his tools, take work off his plate, learn how he works over time, and, non-negotiably, never put anything in front of a client without his approval.
I wrote up how I would approach it and posted the breakdown on LinkedIn. This kit is the reusable core of that answer.
Why this matters
The hard part of an agent like this was never "using AI." It is control: which client does this belong to, what is the agent allowed to do on its own, what has to wait for a human, where does memory live, and how does a correction stick next time.
Get those wrong and you have built a demo that eventually embarrasses you in front of a client.
What it covers
- The approval gate: action tiering, default-deny, and drafts-never-sends
- The memory schema: client-scoped tables and a scored resolution rubric so the agent never guesses who a thing belongs to
- The daily transcript workflow: the first workflow to build, end to end, with a learning loop
- A reference stack, a local-vs-cloud recommendation, and a four-week build order
Who should use it
Use this if you are trying to move from AI demos into systems that can operate around real client work.
The kit is framework-agnostic and written to be built from. It is for consultants, freelancers, operators, and builders who care about control, review, memory, and trust.
Want this agent built?
If you want this type of approval-gated AI workflow designed around your actual tools, clients, and process, SR AI Workflows can build the system with the right controls in place.