Make AI agents useful for real modernization work.
I help product and engineering teams turn AI-assisted work into repeatable, policy-aware, evidence-backed workflows across the agent stack they already use.
Harness engineering, in plain English
Harness engineering is the operating system around AI-assisted work. The agent can research, plan, write, test, and document, but the harness defines what evidence it must gather, what policies apply, when it should stop, when a human must approve, and how the team knows the work is actually ready.
What it is, and what it is not
Agent runtime
Keeps agents running: model calls, tools, sessions, memory, retries, sandboxes, checkpoints, and execution state.
Domain harness
Tells agents how to do a class of business work correctly: modernization, SEO, analytics, accessibility, performance, security, compliance, documentation, or QA.
The harness sits above whatever runtime a team already uses: Codex, Claude Code, OpenAI Agents SDK, DeepSeek, LangGraph, or an internal agent stack.
Service ladder
Harness Readiness Audit
Best first stepAssess the work, risks, policies, evidence needs, and highest-leverage first harness.
Launch or Modernization Sprint
Focused executionUse an existing harness pattern to move a scoped product, site, app, or modernization initiative into working artifacts.
Harness Implementation
Install the systemDesign and implement domain-specific workflows, contracts, templates, verification gates, and review loops inside your stack.
Retained Harness Operations
Ongoing improvementOperate, review, tune, and extend harnesses as your codebase, policies, team, and agent tools change.
Harness portfolio
The full portfolio currently includes eleven domain harnesses. These are the clearest examples for product and engineering teams evaluating the approach.
Greenfield Harness
Turns new product, site, and app ideas into structured first artifacts.
SEO Harness
Improves classic SEO and AI/chatbot crawler discoverability.
Rebrand Harness
Executes brand migrations across real product systems.
Analytics Harness
Designs and verifies product and web measurement systems.
Accessibility Harness
Audits and remediates accessibility issues with verifiable evidence.
Performance Harness
Audits and improves speed, latency, Core Web Vitals, APIs, databases, and infrastructure performance.
Security Review Harness
Supports defensive security review and remediation planning.
Compliance Harness
Maps controls, evidence, gaps, and audit readiness.
Documentation Harness
Creates and verifies durable, source-grounded documentation.
QA / Regression Harness
Creates release gates, browser/API/visual tests, and regression evidence.
Where this fits
Modernize an inherited system
Create a repeatable modernization path with repository discovery, risk scoring, human approval gates, and evidence requirements.
Make AI discovery work real
Update search surfaces, crawler policy, structured metadata, content evidence, and monitoring across classic SEO and AI discovery.
Rebrand without product drift
Use token contracts, source links, parity checks, and accessibility gates so brand changes land consistently in production.
Install release evidence
Define QA, regression, browser, API, visual, accessibility, and performance checks that agents must satisfy before handoff.
Have a product or modernization workflow agents should support?
Let’s talk through what you are trying to modernize, where agents might help, and whether a harness is the right first step.