06 · AI Implementation
AI Agents
Multi-step agents that finish the job — with traces, guardrails, and rollback.
Overview
What you get
Tool + API orchestration with typed schemas, per-step evals, replayable traces, and deterministic rollback paths for every side effect.
The problem
Why teams call us
- Agents work in demos and explode in production on the third tool call.
- Traces are noisy or missing — nobody can answer 'why did it do that?'.
- Rollback for side-effect tools is bolted on later, not designed in.
Approach
How we work
- Tools first, prompts second. Typed schemas before any reasoning loop.
- Per-step eval coverage, not just end-to-end smoke tests.
- Every side-effect tool ships with an explicit rollback path.
Process
Week by week.
- 01 · Week 1–2
Tooling map
Define tools, typed schemas, side effects, rollback paths.
- 02 · Week 3–6
Build agent
Orchestration graph, step-level traces, replay infra.
- 03 · Week 7–9
Evaluate
Per-step evals, golden traces, red-team pass.
- 04 · Week 10–12
Ship & handoff
Production rollout, runbooks, rotation guide.
- Workflow with clear tools, APIs, and side effects to orchestrate
- Engineering org ready for trace + replay infra
- Guardrails treated as first-class, not an afterthought
- Single-turn Q&A — use a copilot instead
- Workflows where 'best effort' is fine and audit doesn't matter
- Orgs unwilling to define side-effect rollback semantics
Deliverables
Everything we ship
- 01Tool + API orchestration with typed schemas
- 02Step-level trace + replay infrastructure
- 03Per-step eval coverage, not just end-to-end
- 04Rollback paths for every side-effect tool
- 05Handoff package: runbooks, eval suite, rotation guide
Outcomes
What you walk away with.
An agent that finishes the job — with traces you can replay, guardrails that fire when they should, and rollback when they don't.
Tooling
Stack we ship against
Model- and infra-agnostic. We adapt to your stack, not the other way around.
FAQ
Real questions, technically answered.
- Multi-agent vs single-agent?
- We default to a single planner with typed tools. Multi-agent only when latency and decomposition genuinely demand it.
- How do you prevent runaway loops?
- Step limits, budget ceilings, and per-step evals — enforced in the orchestration layer, not the prompt.
- Can the agent call our internal APIs?
- Yes. We treat your APIs as first-class tools with typed schemas and auth scoping.
Related engagements
Often paired with.
02 · AI Implementation
AI Copilots
In-product assistants grounded in your customers' data — that ship, not demo.
04 · AI Implementation
RAG & Embedding
Production-grade retrieval — measured against your golden set before it ships.
09 · AI Infrastructure
Production Telemetry
When your AI gets worse, your team knows in minutes — not quarters.
Next step
Ready to scope AI Agents?
Book a discovery call. We'll confirm fit, sequence the engagement, and have a Statement of Work in your inbox within a week.
Refundable if we're not a fitWritten diagnostic in 48 hoursSession run by a founder, not a sales rep