AI · Tool Use & Integrations

Typed connectors your agents can't misuse.

An agent is only as reliable as the tools it calls. We build typed connectors to your CRM, APIs, and databases so every call is validated before it runs, not after it fails.

Built on
integrations.runLive trace
planNew CRM deal → finance + Slack
toolcrm.getDeal(id) → ok
toolnetsuite.createInvoice() → ok
toolslack.notify(#sales) → sent
done3 systems in sync · 1.2s
IntegrationSystem-to-system glue
Silos→ one flow
Tool Use & Integrations

What it is

An agent is only as trustworthy as the tools it's allowed to call. We build typed, validated connectors to your CRM, APIs, and databases, so an agent's action is checked against a strict contract before it runs, with least-privilege access and full logging on every call.

Where it helps

Signs it's worth a conversation.

  • You want an agent to act inside your existing systems, not a sandboxed demo
  • A bad or duplicated action, like a double refund or a duplicate record, would be a real problem
  • Your data and APIs live across several systems that don't naturally talk to each other
  • You need to know exactly what an agent did and when, after the fact

How we get you there

A clear path from idea to production.

  1. 01Audit

    We map where this actually pays off in your workflow, not just where it's technically possible.

  2. 02Design

    We design the approach around your systems and data, not a generic wrapper bolted on top.

  3. 03Build & guardrail

    We build it with evals, tracing, and human-handoff points from day one, not added after something breaks.

  4. 04Ship & iterate

    We ship into production, watch how it performs, and iterate against evidence, not guesses.

Under the hood

The tool layer is where most agent failures actually happen, so it gets the most rigor:

Typed schemas
every tool call is validated against a strict schema before it executes, so malformed calls are rejected, not guessed at
Idempotency
retries and webhook redelivery can't double-process the same action, a common source of duplicate charges or duplicate records
Sandboxed execution
tools run with least-privilege credentials scoped to the specific task, not a blanket admin key
Observability
every tool call is logged with its input, output, and latency, so a bad outcome is traceable to the exact call that caused it
FAQs

Questions, answered.

The things people ask us before starting a project like this. If yours isn't here, ask us directly, we reply like humans.

Ask us anything→

What stops an agent from misusing a tool?

Every tool call is validated against a strict typed schema before it executes, so a malformed or out-of-scope call is rejected outright rather than guessed at or silently allowed through.

How do you prevent duplicate actions, like a double refund?

Idempotency is built into the connector layer, so retries and webhook redelivery can't double-process the same action. This is one of the most common real-world sources of duplicate charges or duplicate records, and it's handled at the tool layer, not left to chance.

What access do agents actually get to our systems?

Least-privilege, scoped to the specific task, never a blanket admin key. If an agent only needs to read a record and update one field, that's all its credentials allow.

Can we see exactly what an agent did after the fact?

Yes, every tool call is logged with its input, output, and latency, so a bad outcome is traceable to the exact call that caused it rather than a black box you have to guess about.

Which systems can you connect an agent to?

CRMs, APIs, and databases across whatever your stack already is; the pattern is the same regardless of the specific system, a typed, validated connector rather than raw access.

Why it matters

Giving a language model access to your systems without typed, validated tool calls is how you get an agent that occasionally does the wrong thing with total confidence. Typed connectors turn an unchecked decision into a validated, logged action, which is the difference between a demo and something you can put in front of a real customer.

Let's make things happen

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