Agent building
Agents wired into your real stack, with guardrails and a human approval step.
- Connected to your live systems rather than a copy of them
- A defined scope of what the agent may do on its own
- A human approval step wherever a mistake would be expensive
- Escalation with the context attached, so the person picking it up is not starting cold
- Logging of what the agent did and why
Why it matters
An agent that only talks is a chatbot. An agent worth building acts, which means the interesting questions are about limits: what it may do alone, what needs a person, and what happens when it is unsure.
Those limits are the design, not an afterthought bolted on before launch.
Further reading
- What not to automate with AI: a checklist for small firms, from a studio that builds automations
- A company second brain: one knowledge base for your team and your AI, and who keeps it true
- AI agents vs workflows: why most business agents should be plain automations
- How much does an AI agent cost to build and run? What sets the price