Paul J Philp Avatar
Wetware & SoftwareThe Practice of Human-AI Collaboration
AboutServicesProjects
Resources

Sound AI systems — from prototype to production.

Greybeard engineer. Next‑gen AI stack for real products.

TypeScript, Effect, Next.js, Vercel AI SDK — modern AI systems you can ship, observe, and trust in production.

Stack of coloured bricks labeled TS, Effect, React, Next.js, Tailwind CSS, and AI SDK, representing Paul Philp's modern tech stack.
Paul Philp collaborating with an AI assistant in a modern workspace.

Why clients choose me

Calm, confident avatar of Paul representing no-drama execution.

No Drama

Calm, clear, relentless execution.

No surprises. No excuses. Steady delivery from first prototype to production — with clear trade‑offs and no hidden chaos.

Avatar of Paul collaborating at a whiteboard, representing team amplification.

Force Multiplier

Multiply the team's impact.

Senior AI engineering leadership that raises the bar on design, code quality, and AI‑assisted workflows — so your whole team ships more, with fewer regressions.

Avatar of Paul in a clean, controlled environment representing sound systems.

Sound Systems

Built for reliability, not demos.

Effect‑powered backends and modern TypeScript that are quick to launch, observable in production, and predictable under load.

Where I plug into your team

I work with product teams that need real, shippable AI features — not just demos. These are the kinds of problems I'm usually brought in to solve.

  • Architecture for real AI products – end‑to‑end design of LLM‑driven features using TypeScript, Effect, Next.js, and modern orchestration (Vercel AI SDK / LangGraph).
  • From prototype to production – hardening existing POCs with logging, tracing, evals, and guardrails so leadership can trust them in production.
  • Release pipelines and observability – CI/CD, canarying, and monitoring tuned for AI features, not just the main app.
  • Team uplift in AI‑assisted development – mentoring seniors and mids to use AI tools effectively while keeping quality and correctness high.
  • Scaling and reliability under load – designing for concurrency, backpressure, and failure modes in AI workloads under real traffic.

Ready to move fast and soundly? Let's talk.

If you're a hiring manager or founder shipping AI features you need to trust in production, I can help you design, ship, and harden those systems. Want to see how I think? Browse my writing on building sound AI systems.

Read the blog
Paul J Philp. All rights reserved.
Last updated: