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Custom AI App Development

Production-ready AI apps and internal tools — shipped in weeks, not quarters.

Every founder and operator I talk to has the same problem: they see a clear use case where AI would save hours, unlock revenue, or replace a spreadsheet held together with prayer — but the agency quotes come back priced like enterprise projects, with delivery dates months out. Meanwhile the DIY tools (Bubble, Zapier, ChatGPT plugins) leave them staring at a blank canvas or duct-taping something brittle. Neither path actually gets the app shipped.

Custom AI app development at Gadget Guy Media is the third path: a productized delivery model that scopes the app, builds it end-to-end (frontend, backend, database, AI plumbing), and ships a live, production-ready product in weeks — not quarters. Clear scope. Clear price. Target delivery window. Once the project is paid in full, you own the final custom code. That's it. It's the same delivery model that shipped ezScribe (AI medical scribe designed for HIPAA-conscious healthcare workflows), ezItemizer (photo-to-insurance-claim), Car Value Recovery (structured AI reasoning for diminished-value claims), and every other project on the portfolio.

What a Gadget Guy Media custom AI app build includes

• Full-stack build, not a prototype — Modern React frontend + FastAPI or Node backend + MongoDB or Postgres + AI plumbing (Claude, GPT, or Gemini). Production infrastructure, not a Bubble demo.
• Clear scope, clear price, target delivery window — You get a real number and a real ship date at the end of the scoping call. No hourly surprises, no scope-creep bait-and-switch.
• AI-first, not AI-bolted-on — The AI is designed into the workflow — prompt engineering, retrieval logic, evals, guardrails. Not a ChatGPT button jammed onto a legacy app.
• You own the code (once paid in full) — Repo transfers to your GitHub on ship day. No vendor lock-in, no per-seat rent, no black box. Any developer can pick it up.
• Deployed and live — Ships on modern hosting (Emergent, Vercel, or your provider of choice) with a real domain, HTTPS, and analytics wired up on day one.
• One person builds it — with AI as the co-pilot — No account manager between you and the person writing the code. Faster decisions, tighter scope, no telephone-game requirements loss.

How the build works

1. Scoping call — 45 minutes on Zoom to talk through the use case, the users, and what 'done' looks like. You leave with a fixed quote and a ship date.
2. Design + architecture — I sketch the UI, define the data model, and pick the AI stack. You approve the spec before a single line of code gets written.
3. Weekly ship + demo — Working software every week — you see real progress on a live URL, not a Gantt chart. Course-corrections happen in days, not months.
4. Launch + hand-off — App goes live on your domain, repo transfers to your GitHub, credentials handed over. I stay on for two weeks of free polish and bug fixes after launch.

Live examples of this in production

• ezScribe — Your notes decide what you get paid.
• ezItemizer — Turn a photo into a claim-ready inventory.
• Car Value Recovery — The diminished-value claim your insurer hopes you won't file.

Frequently asked questions about custom AI app development

How much does a custom AI app build cost?

Most custom AI app builds start in the mid-four-figures and scale from there depending on scope — number of features, integrations, and AI workflows. Book a scoping call and I'll give you a real number for your project, not a guess.

How long does it take to build a custom AI app?

Many builds can ship in a matter of weeks. Your timeline depends on scope, integrations, testing, and complexity. Simple internal tools usually move faster than full SaaS-style apps with auth, billing, and multi-user workflows. If your project can't ship in weeks, I'll tell you upfront and we can either scope it down or you can walk.

What kinds of AI apps do you build?

Internal tools, customer-facing SaaS, marketplaces, agents, chatbots, document processors, voice interfaces, and workflow automations. Anywhere an LLM adds real leverage, I can build it. Some shipped examples: ezScribe (AI medical scribe designed for HIPAA-conscious healthcare workflows), ezItemizer (photo-to-inventory), Car Value Recovery (AI-assisted insurance claims), Glitch (private voice AI).

Do I own the code, or is it locked to your platform?

Once the project is paid in full, you own the final custom code. Full repo transfer to your GitHub on ship day. No vendor lock-in, no per-seat rent, no black-box hosting requirement. Any developer can pick up the codebase and extend it.

Do you handle hosting and infrastructure?

Yes. Apps ship on modern static + serverless infrastructure (Emergent, Vercel, or your provider of choice). Hosting costs are pass-through at provider rates — you pay them directly, no markup.

What if I need changes after launch?

Two weeks of free polish and bug fixes are included with every build. Beyond that, ongoing work is available on a per-project basis.

Which LLM will my app use — Claude, GPT, or Gemini?

Whichever fits the workload best. I'm model-agnostic. Most reasoning-heavy work goes to Claude; most structured extraction goes to GPT; some multimodal (vision, voice) workloads run cheaper on Gemini. The choice is made per project, not per contract.

Ready to ship the AI app you've been sketching in Notion?

Book a 45-minute scoping call. You leave with a clear scope, a clear price, a target delivery window, and a clear picture of the product you'll be looking at live in a few weeks.

Book a scoping call →