Four ways to get your product pilot-ready.
Each engagement is fixed scope, weekly demos, and a deliverable I sign my name to. No hourly billing. No surprise invoices.
Pilot-Ready MVP
6-8 WEEKSYour SaaS product, production-ready in 6–8 weeks. Fixed scope. I sign my name to it.
Most development projects fail not because of bad code, but because of a scope that shifts every week until month four delivers a prototype instead of a product. This engagement is the opposite: you get a signed scope-of-work before any code exists, a 6-phase delivery plan with a concrete deliverable every Friday, and a production-grade stack that handles real users from day one — real authentication, real billing, real observability. I have shipped 120+ products this way. The answer to "can this actually be done in 6–8 weeks?" comes on the discovery call, not on week six.
AI Prototype Rescue
3-6 WEEKSYour AI-built prototype is impressive. Let's make it production-safe before your next demo breaks it.
Lovable, Cursor, v0, and Bolt can produce a convincing prototype in an afternoon. What they cannot produce is a system that handles 50 concurrent users, processes real Stripe webhooks without data loss, or stores customer information without exposing it. If you have an AI-generated codebase that works in your screen recording but fails when someone else tries it — that is exactly where this engagement starts. Week one is a written codebase audit you receive before we scope the rest. You decide what to keep, what to replace, and what the budget looks like. I refactor only what will cause a real production failure. No rewrites for vanity.
AI Development
2-8 WEEKSRAG pipelines, LLM features, and AI agents built with real evals — not vibes.
The gap between an AI demo that impresses investors and an AI feature that works reliably for real users is an evaluation framework. Without evals, you are guessing whether retrieval is returning useful chunks, whether your prompts degrade when the model updates, and whether your agent actually completed the task or just said it did. I build AI features with measurement from day one: retrieval evals before any prompt engineering, distributed traces on every agent run, cost ceilings per execution, and a regression suite that catches model regressions before your users do. And if the thing you want to build does not need AI to work well — I will tell you that on the call.
Codebase Audit
1 WEEKOne week. You will know exactly what you have, what is broken, and what it will take to fix it.
Before you commission a rewrite, hire engineers, or close a technical acquisition, you need one thing: the truth about the codebase. In one week I read every file, map the architecture, run a security pass, audit the dependencies, and deliver a written risk register with plain-English findings and realistic effort estimates. No developer politics, no agenda, no rant about the previous engineer. Just a clear, honest picture of what you are working with — and a 30-minute recorded walkthrough that you and your team can watch together. The audit fee is credited in full toward any subsequent build engagement.
SaaS Engineering Partnership
Your dedicated senior engineer, month by month.
After your MVP launches, someone has to keep building. The SaaS Engineering Partnership gives you 40 hours of dedicated engineering per month - feature sprints, performance improvements, third-party integrations, scaling fixes, and async support. No hiring overhead, no equity, no six-month notice period. You get a senior engineer who already knows your codebase, can context-switch fast, and won't disappear when a sprint gets hard.
Full-Stack Web Development
Websites and web applications built to production standards.
Not every project is a SaaS MVP. Sometimes you need a high-performance marketing site that converts, a company website built for SEO, a custom web application that replaces a manual process, or a client portal that doesn't look like it was made in 2014. I build these with the same production-grade stack - Next.js, Tailwind, a CMS your team can actually use, and deployment that won't break when you share it on LinkedIn.
Match your situation to the right engagement.
Starting from zero and need a pilot-ready MVP
MVP BUILD →Have a Lovable / Cursor / v0 prototype that needs to go to production
PROTOTYPE RESCUE →Need RAG, agents, or AI features built inside an existing product
AI DEVELOPMENT →Inherited a codebase and need to understand the risks before committing
CODEBASE AUDIT →MVP is live with paying users - need to keep shipping features
ENGINEERING PARTNERSHIP →Need a marketing site, company website, or web app (not a SaaS product)
WEB DEVELOPMENT →Have a deadline in 6-8 weeks and need predictable delivery
MVP BUILD →Not sure where to start - need a clear picture first
CODEBASE AUDIT →Not sure? Book a free 30-min call - I'll tell you which engagement fits.
Same scaffolding. Every engagement.
Scope first
Before any code is written, I produce a written scope-of-work with clear deliverables, timeline, and what happens if we slip. You sign off; then we start.
Weekly demos
Every Friday: a live demo of what shipped that week plus a Loom walkthrough of the decisions made. You always know where we are.
Clean handover
Runbook, architectural decision record, local dev setup, and a 30-day support window. Your next engineer can take over without calling me.
Six years. Same desk.
I don't take on work I can't deliver.
If 6-8 weeks isn't realistic for your scope, I'll tell you on the intro call - not on week five. The signed scope-of-work is the contract. 50% to start, 50% on launch.
Questions founders actually ask.
You own the code, the repo, the infra accounts, and the docs from day one. Everything I write is in your GitHub org under your license. No lock-in, no proprietary glue, no 'only Suhag can deploy it' situation.
Have a pilot deadline? Let's talk.
Tell me where you are. I'll tell you, honestly, whether 6-8 weeks is realistic and what the first week looks like.