AI Product Development
You have the idea. We build it.
Have a concept for an AI-powered product or feature? We take it from whiteboard to working app — scoping, designing, building, and deploying so you can show investors or customers something real. No technical co-founder required.
4–8wk
Concept to working MVP
1
Working session to scoped spec
100%
You own the code
// who_this_is_for
Built for idea-stage founders and operators.
You don't need a technical background to build an AI product. You need a technical partner who can translate your vision into something real — fast. This is for people who know what they want to build, just not how.
Early-stage founders
You have an AI startup idea and need a working demo to raise a pre-seed or validate with early customers.
Product managers
You've identified an AI opportunity inside your company but don't have internal bandwidth or AI expertise to build it.
Business owners
You want to add AI capabilities to your existing product or service — a chatbot, a recommendation feature, an automation layer.
// the_problem
Why most AI ideas never get built.
Without a technical partner
❌Months searching for a technical co-founder who never materializes
❌Agencies that overprice, over-scope, and underdeliver
❌Freelancers who disappear mid-project
❌No-code tools that can't handle your actual use case
❌Idea stays on a slide deck forever
With Khoda Consulting
✓Scoped and specced in a single working session
✓Working MVP in 4–8 weeks, not 6 months
✓One person responsible — you always know who to call
✓Built with production-grade AI — Claude, OpenAI, or both
✓You own the code and can hand it to any developer after
// what_we_build
What we can build for you
01
AI-powered web apps
Full-stack applications with AI at the core — chat interfaces, content tools, recommendation engines, document processors.
02
Agentic products
Apps where the AI doesn't just respond — it takes actions, calls APIs, reads data, and completes multi-step tasks autonomously.
03
AI features inside existing products
Adding AI capabilities to something you've already built — a copilot, a smart search, an auto-generate feature.
04
Internal AI tools
Tools your team uses internally — a knowledge base assistant, a draft generator, a data summarizer — that save hours every week.
05
Demo-ready prototypes
If you need something to show investors or customers before committing to a full build — a polished, functional prototype that proves the concept.
// how_it_works
From idea to live product
1
Idea session — 60 minutes
scope_product(idea) → spec + effort estimate
We get on a call, you walk me through your idea, and I ask the questions that turn a concept into a buildable spec. By the end we have a clear picture of what to build, what it will cost, and how long it will take.
2
Spec & architecture
design_system() → architecture doc + decision log
I produce a written spec covering the user flows, AI model choices, data architecture, and API integrations. You review and approve before a line of code is written.
3
Build in sprints
for sprint in sprints: build → review → iterate()
We build in 1-week sprints with a demo at the end of each. You see progress weekly and can give feedback that shapes the next sprint — nothing gets built in a black box.
4
Deploy & hand off
deploy() → docs + handoff_session() → you_own_it
We deploy to production, document every component, and walk you through the codebase so you or any future developer can take it from here. No lock-in.
// tech_stack
Technology we build with
AI Models
Claude / OpenAI
Frontend
React / Next.js
Backend
Node.js / Python
Database
Supabase / PostgreSQL
Hosting
Vercel / AWS
Auth & Payments
Clerk / Stripe
// related_work