AI consulting and implementation for Phoenix and Arizona businesses
Tuhami Consulting is a one-person product and AI practice, run by Anas El Tuhami from Phoenix, Arizona. The work is fractional product strategy, full-stack build on TypeScript and Next.js, and AI systems: prompt frameworks, evaluation rubrics, and guardrails that make model output reliable in production. It is built for founders and small teams who need a plan and someone who can also ship it, on flat-fee engagements scoped before anything starts. The practice is based in Phoenix and runs remotely for clients anywhere.
- Fractional product strategy
- Roadmapping and scoping for teams without a full-time PM.
- Full-stack build
- TypeScript, Next.js, and Supabase, shipped to production.
- AI systems and guardrails
- Prompt frameworks, evaluation rubrics, and LangGraph agents.
What does AI consulting for a small business actually involve?
- It starts with scoping: finding the one workflow where AI removes real work, not adding a feature for its own sake. From there it is prompt frameworks, evaluation rubrics, and guardrails that make the output reliable in production, plus the engineering to ship it. Every engagement is a flat fee against a fixed scope.
Why work with a local Phoenix AI consultant instead of a national firm?
- You work directly with the person doing the work. One person scopes the project, designs it, and writes the production code, so nothing is lost handing a plan off to a separate team. Engagements are flat fee, scoped up front, with no lock-in, and the practice is run from Phoenix, Arizona.
Can you build the AI features, or only advise on them?
- I build. The same person who scopes and designs the work writes the production code in TypeScript, Next.js, and Supabase. On Easy Street Offers that meant shipping the prompt frameworks, evaluation rubrics, and guardrails behind the AI features that team was putting into production, not just recommending them.
AI work already shipped
Easy Street Offers
A Scottsdale, Arizona proptech team was putting AI into core product workflows with inconsistent prompt quality and no rigorous evaluation. I built the prompt frameworks, evaluation rubrics, and guardrails that made those features reliable enough for production, and tightened the engineering spec process alongside it, for about a 30 percent lift in engineering velocity.
Mesa Boxing
A boxing gym in Mesa, Arizona had no web presence. I built the site and the structured-data and AEO foundation so it would surface in local search and AI-generated answers, and it reached page one for competitive local terms within 90 days with zero ad spend.
Have something worth building?
Tell me what you’re building and I’ll tell you what needs solving.