AGENTS · OWNED · CLAUDE API
A chatbot answers. An agent acts.
Custom agents built on the Anthropic Claude API, owned end-to-end. They qualify leads, book meetings and write to your CRM, in EN, ES or FR. If your AI can't take an action, it's a decision tree with a marketing budget.
Why most chatbots lose money
Because they can read, but they can't act.
A scripted bot answers from a fixed tree. The moment a question goes off-script, it loops, apologizes and loses the lead. And since it writes nothing back to your systems, your team re-types what the bot already heard.
The cost is invisible and constant: missed leads at 11pm, repetitive tickets a human still has to close, and a contact form doing the work your AI was supposed to do.
Our approach: custom, owned, built around actions
We build directly on the Anthropic Claude API: streaming, tool calls, RAG on your own content. No rented no-code template, no platform that holds your logic hostage. The code, the prompts and the integration layer are yours. If we ever part ways, the agent keeps running.
An agent is only worth building if it acts. So we design around the actions first: qualify the lead, book the meeting, write to the CRM, hand off to a human when it should. The words come after. And it embeds cleanly via iframe isolation, so it never breaks your site's DOM or animations.
What you get
- A custom agent on the raw Claude API: streaming, tools, RAG on your own content. Not a template you rent.
- Real actions: lead qualification, meeting booking, CRM writes, human handoff when it matters.
- Trilingual by design (EN, ES, FR), with the right tone per market, never literal translation.
- Clean embedding via iframe isolation: it never breaks your site's DOM or animations.
- Honest automation: transparent about what it handles alone and where a human stays in the loop.
Typical use cases
Stack as proof
Built on raw model APIs: you own the asset and can swap the provider, never hostage to a vendor.
In production: Secrets du Siam
A trilingual agent in production for Secrets du Siam: it answers guests, qualifies requests and supports booking, with the tone the brand actually wants. This is what an agent looks like when it does work instead of demos.
Read the Secrets du Siam caseQuestions we hear before every build
Who owns the agent?
You do. Code, prompts, workflows, integration layer, the lot. We build on raw APIs and document everything, so you're never locked into us or into a single vendor.
What happens to our data?
Credentials stay server-side, never in the browser or the widget. The agent sees only what it needs, and we're explicit about what is logged, where it lives and who can read it.
Will it replace a human?
It replaces volume, not judgment. The agent absorbs the repetitive work and hands the rest to your team with full context. We're transparent about that line, before you sign, not after.
Find out if an agent is your fastest ROI
The free AI audit ranks your processes by ROI and tells you whether an agent should come first, or something else should.