Applied AI · Agents

AI agents that decide, act and close the loop

An agent goes beyond answering: it plans steps, uses tools (your calendar, your CRM, your APIs) and executes actions within the limits I set. It’s more powerful than a chatbot, but also more expensive to run, so I only propose it when the problem calls for it.

What I solve

  • You need AI to do things —book, check availability, log— not just inform.
  • You have tasks that chain several systems and today depend on someone doing them by hand.
  • You’ve seen “agents” that were really chatbots under another name, and you don’t want to overpay for that.

What you get

  • Tasks that complete on their own end to end, with context and no manual step-by-step.
  • Real integration with your tools: calendar, CRM, email, APIs.
  • Technical honesty: if your case is solved with a simple flow, I’ll tell you and you save money.

What I build

  • An agent with access to tools (tool calling) to look things up, book and log.
  • Integration with your CRM, calendar and APIs, with traceability for every action.
  • Clear limits and guardrails on what it can and can’t do.
  • Escalation points to a person, with the full context of the conversation.

How I work

  1. I define the task and the tools the agent can use, with their limits.
  2. I build the integration with your CRM, calendar or APIs and the action traceability.
  3. I test with real cases and tune the autonomy and the escalation points.
  4. I measure result and cost per conversation to keep the operation under control.

When it makes sense

  • The process is open: it’s hard to predict every step in advance.
  • It needs to act on real systems, not just answer.
  • The value of closing the loop outweighs an agent’s higher latency and cost.

The experience behind it

I work with agentic AI in production: LLM integration (OpenAI, Anthropic), tool calling and RAG, on top of a software architecture I’ve been building for 10+ years.

Frequently asked questions

What’s the real difference between an agent and a chatbot?

A chatbot answers following a script; an agent decides the steps, uses tools and acts on the real world (calendar, CRM, APIs). That autonomy is the technical frontier, and it changes cost and expectations.

Is an agent always better?

No. An agent trades latency and cost for the ability to handle open-ended tasks. If your process is predictable and bounded, a chatbot or a simple flow is cheaper, faster and easier to control.

Can it integrate with my CRM and my calendar?

Yes. The whole point of an agent is precisely to use your tools: check availability, book, log the lead with context. It integrates with standard or custom solutions depending on your case.

Does this fit your case?

Tell me the concrete problem —the process, the volume, what it costs you today— and I’ll tell you the most sensible path with judgement. No empty promises.

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