An agent with one real job
We start from a workflow your team runs today and define what done looks like, so the agent has a job, not a vague brief.
AI Agents
AI agents that do the work and show their work.
Agents that plan, call your tools and APIs, and hand off to a person when they should, with guardrails, fallbacks and logs you can audit.
- Tool calling
- LangGraph
- Guardrails
- Human-in-the-loop
agent.run · illustrativerun logged
- 01Planbreak the request into steps
- 02Tool callcrm · docs · your APIs
- 03Guardrailpii · grounding · policyfail → fallback
- 04Human handoffreview before it actsapprove / edit
Outcomes
What you walk away with.
Tool calls you control
The agent reaches your CRM, docs and APIs through defined tools with clear permissions, rate limits and timeouts.
Guardrails and fallbacks
PII checks, grounding checks and provider fallback ship in the first deploy. When a check fails, the agent stops or hands off.
An audit trail for every run
Each plan, tool call, check and decision is logged, so you can see why the agent did what it did.
How we deliver
From workflow to working agent.
- 01Workflow map
Map the workflow
We walk through the task with your team: inputs, systems, decisions and where a person must stay in the loop.
- 02Tool and guardrail spec
Design tools and guardrails
We define each tool the agent may call, the checks it must pass and what happens when one fails.
- 03Weekly demos
Build and evaluate
Short build cycles with a working demo every week, tested against real examples before it touches production.
- 04Live agent and docs
Deploy with logs
We deploy with audit logs and handoff checkpoints, hand over the code and docs, and stay on for fixes.
Related work
Our productArchitecture demo
AI Prompt Compiler
Our AI Prompt Compiler runs a multi-agent LangGraph pipeline: the same orchestration patterns we use in client agents.
- Compiler stages
- 8
- Compilation latency
- < 4s
- Orchestration
- LangGraph
Typical stack
- LangGraphagent orchestration and state
- LangChainmodel and tool adapters
- FastAPItool endpoints and services
- Node.jsintegrations and webhooks
- Supabase · PostgreSQLdata, logs and audit trail
FAQ
Questions about agents.
Yes. We wrap your APIs, CRM and document stores as tools the agent can call, each with defined permissions, timeouts and rate limits.
Guardrails run before any output or action: PII checks, grounding checks and policy rules. If a check fails, the agent falls back or hands off to a person, and every step is logged.
We decide together during planning. Anything irreversible, costly or customer-facing can require human review before the agent acts.
Scope and timeline are agreed in writing before we start, and we show you working software every week after that.
Ready to start?
Tell us what you want to automate.
The workflow you want an agent to run, the systems it touches, and where a person should approve. A few lines are enough; we reply within 24 hours.