Freelance AI agent development
Autonomous agents that turn manual operations into self-directed workflows, with reasoning, tool calling and guardrails built in.
What you get
An AI agent plans a task, calls your tools to do it and checks its own work. These are the parts I build.
- Multi-agent planning and execution
- A planner and specialist agents split a task into steps, run them and hand back one result.
- Custom tool calling
- Agents that act through your tools: Slack, your CRM, SQL databases and internal APIs.
- Human-in-the-loop review
- Review checkpoints before an agent sends, spends or changes anything that matters.
- Token budgets and observability
- Hard limits on token spend per run, and logs that show what each agent did.
2–3wtypical build for an autonomous agent or swarm. A focused first version can fit a 10–14 day sprint.
12hto a direct reply, with a scope and timeline estimate for your project.
How it works
Four moves, from brief to production- i.
Scope
Share the workflow you want automated. You get a scope and timeline estimate, with a direct reply within 12 hours.
- ii.
Architect
Agents, tools and fallbacks are planned before the first line of code is written.
- iii.
Ship
The agent goes live with its tools connected and its review steps switched on.
- iv.
Harden
Guardrails, token budgets, observability and model fallbacks keep it running when a provider does not.
Related work
Built and live todayQuestions people ask
- What is an AI agent?
- An AI agent is software that uses a language model to decide what to do next, calls tools such as APIs, databases or messaging apps to do it, and repeats until the task is finished. A chatbot only answers; an agent also acts.
- How long does it take to build an AI agent?
- Typically 2–3 weeks for an autonomous agent or swarm. A focused first version can fit a 10–14 day sprint. The number of tools and integrations is the biggest factor. Read what changes the timeline.
- Can the agent work with our existing tools?
- Yes. Agents act through tool calls, so Slack, a CRM, SQL databases and internal APIs can be connected. Risky actions can wait for a human to approve them.
- How do you stop an agent from going wrong or overspending?
- Human-in-the-loop review before sensitive actions, token budget limits on every run, and logging so each step can be inspected afterwards.
- How do I start?
- Use the scope estimator or send a brief. You get a scope and timeline estimate, with a direct reply within 12 hours.
Have a workflow an agent could run?
Use the scope estimator for an instant timeline, or send a brief. You get a direct reply within 12 hours.
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