Only 2 seats left

Build the AI engineer of the future with us.

We've spent three years optimizing agents at enterprise scale. Now we're building the system that makes that work repeatable, modular, and yours. A 12-week high-intensity co-development program.

Book a call

Takes 3 minutes · We review within 48 hours

Outcomes

What you get out of this.

Four outcomes you keep after the engagement ends:

Methodology transfer

The full agent-optimization methodology, packaged as skills your team installs and runs.

Better agents

Measured improvement on the metric you choose: cost, accuracy, reliability, throughput. Before/after every cycle.

Team velocity

Your engineers ship more agents, faster, with fewer iteration cycles. Skills and a shared runtime do the repetitive work.

Lower cost / higher ROI

Concrete reduction in agent compute spend, validated trace-by-trace.

Where the journey begins

Where the journey begins.

1

Connect your traces

~30 min

New setup or connector into your existing stack (Langfuse, LangSmith, OTel).

2

Analyse together

25-min walkthrough

We profile what's running. You add the domain context we can't see in traces.

3

Joint workshop

Half-day

Map your Agent Development Lifecycle, define the gaps, and set your optimization goal.

4

Co-develop

12 weeks (weekly 1-hour)

Start building and extending your development workflow.

Co-build

Four deliverables. The Agent Development Lifecycle.

Custom workflows + missing tools

Methodology and tooling packaged for your failure modes. Built once, used forever.

Observability connector

Connect your tracing stack (Langfuse, LangSmith, OTel) with Mutagent.

Dataset + eval system

Datasets and judge prompts derived from your traces. Yours to extend and run on every change.

Agent feedback loops

Automated scenario testing in CI. Real-world HITL signals and business KPIs feeding back.

Deploy, trace, evaluate, optimize compounding loop

Two things compound: traces grow the dataset, failures sharpen the rubric. Every cycle gets cheaper.

Sample report

A real analysis. From real production data.

Records
254,265
Executions
7,524
Agents
2
Root causes
7
Recommendations
19
Monthly waste
$4,200+
Download sample report (PDF)
The team

Built by operators, not observers.

2.5 yrsbuilding AI agents
30+enterprise deployments
100K+monthly executions

What we learned

Accuracy is meaningless for agents.

Your traces have answers nobody asks for.

Designed does not equal running.

Self-eval doesn't work.

dorianbeneburak

Dorian, Bene, and Burak

Apply now

Ready to see what's in your traces?

9 questions. 3 minutes. We review every application within 48 hours.