AI Agent Orchestration

AI that ships.
Not AI that demos.

I direct AI agents inside structured pipelines to build systems that hold up in production. Reliable output, validated by hand, on a fraction of the tokens.

Orchestration pipeline running
Spec
the goal, defined
Kit
structure for the model
Orchestrate
agents on task
Validate
Rule #0 checkpoint
human
Ship
into production
4
chains in one non-custodial wallet, open-sourced
9
independent security passes before release
30+
test automation capabilities shipped
#0
the rule that never bends: every output validated by hand
Deployed systems

The work is the credential.

Each of these was built through agent orchestration and put into the real world, not left as a prototype.

01

Self-sovereign multi-chain wallet

A non-custodial wallet spanning Monero, Bitcoin, Litecoin, and Ethereum, built end to end through AI agent orchestration and open-sourced after nine independent security passes.

AIWMulti-chainOpen source
Hardest part: a working Strike-to-Monero bridge and atomic swap orchestration, proven on-chain.
02

Enterprise test automation framework

A Playwright framework with more than thirty capabilities, wired into Azure DevOps and Jira, turning slow manual QA cycles into fast, repeatable, agent-assisted runs.

PlaywrightTypeScriptCI
Hardest part: making agent-generated tests trustworthy enough to gate real releases.
03

Workflow automation platform

A live product that automates ticket and workflow drudgery for Azure DevOps and Jira teams, so people spend their time on the work that actually needs a human.

SaaSLive
Hardest part: turning a personal tool into something other teams run unattended.
04

Contractor estimation platform

A tool that turns messy, inconsistent project inputs into fast, defensible cost estimates, cutting quoting from hours down to minutes.

Product
Hardest part: encoding real trade knowledge so the numbers hold up on site.
How it's built

One pipeline. Every time.

I do not hand a problem to an AI and hope. The work runs through a defined route where the model is held to the task and a human signs off before anything ships.

01

Spec

We pin down the real problem and where AI can carry weight.

02

Kit

I write the structured kit that constrains the agents to your task.

03

Orchestrate

Agents produce the work inside the pipeline, each one in its lane.

04

Validate

Rule #0. I check every output by hand before it moves forward.

05

Ship

You get the system, the kit, and the docs to run it yourself.

Rule #0

Never trust AI. Every line an agent produces is a draft until a human validates it. That single discipline is why the output holds up when it reaches your team, and why the cost stays low getting there.

Engage

Three ways in.

Start low-risk or go straight to a build. Every tier ends with something you own and can run without me.

01 / Entry point

Orchestration Audit

from$500

A focused teardown of where AI is costing you time and money, with a prioritized plan you can act on with or without me.

02 / Most common

Build Sprint

from$3,000

A fixed-scope build where I orchestrate agents to ship a working system: an automation, an internal tool, a test suite. You get the code, the kit, and the docs.

Includes AJAIA access during the build plus 90 days after. Not sold separately.

03 / Ongoing

Orchestration Retainer

from$2,000/mo

Standing capacity to keep shipping against your backlog. I plug into your stack and validate every output by hand. Month to month, no lock-in.

Includes full AJAIA access for as long as the retainer is active.

Contact

Have something you need shipped?

Tell me what you are building or automating. If it is a fit, you get a plan and a fixed price. If it is not, you get a straight no.

Got it. I will be in touch shortly.

Or reach me on any channel below.