Agents that
take action.
Production AI agents that research, decide, and execute - with bounded autonomy, full observability, and human approvals where the stakes demand them.
Agents engineered for the long run.
Demos are easy. Agents that still work in week 12 are not. We focus on the part that matters.
Single-Purpose Agents
Focused agents for one well-scoped job - research, ticket triage, data extraction, lead qualification. The kind that actually ship and stay shipped.
- Deterministic tool schemas
- Bounded autonomy
- Clear success criteria
Multi-Agent Orchestration
Planner-executor and supervisor patterns where specialist agents hand off, debate, or run in parallel.
- LangGraph / CrewAI
- Hierarchical routing
- Shared scratchpads
Tool Use & Function Calling
Agents that call your APIs, query your DB, send emails, post to Slack - with strict schemas, retries, and audit trails.
- JSON-schema tools
- Idempotent actions
- Per-tool rate limits
Planning & Reasoning Loops
ReAct, plan-and-execute, tree-of-thoughts - picked per task, not blindly applied. Plans that recover from failure instead of looping forever.
- Plan + reflect
- Step caps
- Failure recovery
Human-in-the-Loop
Approval gates, edit-and-continue, and escalation paths for high-stakes actions. Agents that ask permission, not forgiveness.
- Approval queues
- Inline edits
- Escalation routing
Observability & Replay
Full trace logs, step-level eval, replay tooling, and cost dashboards. Debug an agent's bad decision the way you'd debug a function.
- LangSmith / Braintrust
- Step replay
- Cost per task
Agents in the wild.
Sales research agent
Researches accounts, drafts personalized outreach, and queues approvals - replaces 4 hrs/day of SDR busywork.
Support triage agent
Classifies tickets, drafts replies, escalates edge cases. Handles 60% of L1 volume autonomously with full audit trails.
Document processing
Reads contracts and invoices, extracts structured data, flags anomalies for human review - with citation back to source.
Ops automation agent
Monitors dashboards, opens incidents, runs playbooks, and drafts post-mortems. On-call's quiet co-pilot.
Reliable autonomy is hard. We design for it.
Bounded autonomy
Every agent has a written charter - what it can do, what it can't, when to escalate. Open-ended autonomy is how you get bad PR.
Deterministic where possible
If a step doesn't need an LLM, it doesn't get one. Rules and code for the deterministic parts; AI only where reasoning is needed.
Eval the trajectory, not just the answer
Final-answer accuracy hides bad reasoning. We eval each step - tool choice, arguments, recovery - to find rot before users do.
Memory with discipline
Short-term scratchpads, long-term episodic stores, and explicit forgetting. Memory creep is the silent killer of agent quality.
Frameworks, models, and infra.
What would your team do with one less hour of busywork per day?
Tell us a workflow you'd like to automate. We'll come back with a scoped agent design, eval plan, and a 4-week pilot.