AI agents
Custom AI Agents That Do the Work
An agent is only interesting if it can do something. The distinction that matters is not how clever the model sounds, it is what tools it can call, what it is allowed to change, and what happens when it is wrong.
Real tool access
Agents connected to your systems through typed, permissioned tools, via MCP or direct API, so they can act, not just describe.
Guardrails first
Explicit limits on scope and spend, an approval step for anything irreversible, and a full audit trail of what the agent did and why.
Persistent context
Agents that carry state across a long-running job instead of starting from nothing every message.
Human handoff
A clear escalation path. The agent should know what it cannot do and hand over cleanly.
In practice
Things we have actually built.
- An ad-operations agent driving creative generation and campaign management through two MCP servers in one session.
- A customer assistant that answers a question, finds the cheapest matching product, and adds it to the cart.
- An autonomous signal-to-decision pipeline with a hard risk gate and kill switches in front of every action.
Proof
Where this has shipped.
AdStack
Performance marketing · United States
One agent running the whole ad chain, from research to creative to launch to scale, without the context-switching.
LiveAI ordering assistant for a supermarket group
Supermarket group · Bekaa Valley, Lebanon
An Arabic-first ordering platform with an assistant that talks to customers in Lebanese dialect, plus an AI back office that catalogues the shelves.
Questions
Common questions.
What is the difference between an agent and a chatbot?
A chatbot returns text. An agent calls tools and changes state in your systems. The engineering difficulty is almost entirely in the second part, permissions, retries, idempotency, audit, and knowing when to stop.
How do you stop an agent doing something expensive or irreversible?
Irreversible actions sit behind an approval step by default, spend and scope are capped in code rather than in the prompt, and there is a kill switch. We treat prompt-level instructions as guidance, never as a security boundary.
Which models do you use?
Whichever fits the task and the budget. We are not tied to one provider, and we build so the model can be swapped without rewriting the system around it.
Try it free for
three months.
We build one working AI integration into the business you already run, at our cost. You use it free for up to three months. No contract, cancel anytime, and you only pay if you keep it.