Services

Four ways I work with clients — from full product builds to focused audits and AI integration.

AI Product Development

You have a product idea, a set of mockups, maybe a no-code prototype that's hitting its ceiling. You need an engineer who can own the whole thing — not just write code, but make decisions about architecture, data, and what to build first.

I take products from concept to production system. That includes the parts nobody wants to talk about early: auth, data modeling, deployment pipelines, and the engineering practices that keep things from falling apart at scale.

What this looks like

  • You have a product concept or early prototype — I scope, architect, and build it
  • You have a no-code platform that's outgrown itself — I migrate it to a real stack
  • You need a sole engineer who can own frontend, backend, and infrastructure — that's the job

Codebase Audit & Architecture Clarity

Your codebase has grown faster than your documentation. Implicit decisions live in someone's head. The architecture made sense six months ago but nobody's sure it still holds. You're about to hire an engineer, raise a round, or hand off ownership — and you need to know what you actually have.

I do a structured deep dive into your system — mapping architecture, surfacing undocumented decisions, identifying fragility points, and delivering a prioritized set of findings your team can act on. Fast enough to be useful before something important happens.

What this looks like

  • Architecture mapping and data flow documentation
  • Surfaced implicit decisions and technical debt — written down, not just flagged
  • Prioritized refactor and reorg proposals with clear rationale
  • Onboarding clarity for your next engineering hire

AI Integration

Your team is using LLMs but it's duct tape. Prompts live in Slack threads. Nobody knows which version of the system prompt is in production. The output is inconsistent and nobody's sure why.

I build structured AI workflows — multi-agent orchestration, prompt versioning, context-budgeted systems — and I introduce the engineering methodology to keep them running. Not experiments. Operational tooling.

What this looks like

  • Prompt systems that are version-controlled and testable
  • Agent architectures with evaluation protocols and contracts
  • Engineering methodology your team can run without me

Audio & Text Tools

Custom AI-powered tools for people who make things. Musicians, writers, artists, content creators — if your work involves audio or text and you need technology that understands the material, not just processes it, this is the work I care about most.

What this looks like

  • AI analysis tools grounded in real audio/text understanding
  • Creative workflow tools that augment the process, not replace it
  • Commissioned builds for specific creative problems

Tessellate Studio is led by Jon Harvey, a full-stack engineer specializing in AI product development.