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CiaraMaria

  • senior product engineer
  • ai harness builder
  • technical leader

Colorado, USA

I build production software and the AI harnesses that help teams ship them.

afk in the garden ✦ humans stay in the loop ✦ last seen: arguing with a type error ✦ coffee count: classified ✦ afk in the garden ✦ humans stay in the loop ✦ last seen: arguing with a type error ✦ coffee count: classified ✦

6 years
building digital products
AI harnesses
reusable harnesses used across client builds by engineers and agents
Across
startups, SaaS, web3, developer enablement, and consumer apps
End-to-end
from messy brief to something people can actually use
about me

The short version.

I’m a senior product engineer and technical leader who helps teams move from idea to working software.

internet since:
myspace era
currently learning:
native iOS because the web wasn’t enough
probably thinking about:
another coffee
creative outlet:
crochet, gardening, content creation for my dog's insta
more about me
capabilities

Where I add the most leverage.

01

Product Engineering

Taking products from ambiguous requirements through architecture, implementation, QA, deployment, and iteration.

02

Frontend Architecture

Building scalable TypeScript applications, complex workflows, reusable component systems, responsive interfaces, and maintainable frontend foundations.

03

AI-Native Delivery

Designing reusable agent harnesses with profiles, policies, fail-closed contracts, guardrails, run-plan schemas, observability, validation, and human review gates.

04

Technical Enablement

Helping engineers, clients, and nontechnical teams understand systems, make better decisions, and become more independently capable.

consulting
applied harness engineering

AI-native modernization needs more than an agent.

I help teams install domain-specific harnesses: repeatable workflows, policies, contracts, readiness gates, templates, and evidence requirements for real product and engineering work.

// ai systems

Good agent work needs operating boundaries.

  • Start with the real user problem.
  • Understand the system before changing it.
  • Turn ambiguity into a written plan.
  • Give agents clear contracts and boundaries.
  • Keep humans in the approval loop.
  • Verify the output before trusting the speed.
  • Feed failures back into the system.
workflow
  1. 1
    Research
  2. 2
    Plan
  3. 3
    Implement
  4. 4
    Verify
see the reusable harness behind this workflow
tools I keep around
  • TypeScript
  • React
  • Next.js
  • Playwright
  • Zod
  • Figma
  • MCP
  • Codex
  • Claude
  • Cursor
  • Linear
  • GitHub
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