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nikshit.me

Services

AI built right.
Three things, done well.

Three things, done well, hands-on. Every engagement is scoped tightly, delivered personally, and handed over cleanly. One to two projects per month, all routed through Brioodev for contracts and delivery.

Capacity1–2 projects / month
EngagementFixed scope · fixed timeline
Routed viabrioodev.com

What I take on

Three tracks.
Pick the one that fits.

01 · Track

AI SaaS Development

Full-stack AI products built from scratch — idea to live, billing-enabled product in 6 to 12 weeks.

I design and build complete AI-powered SaaS products end to end — product architecture, AI integration, document or workflow generation engines, subscription billing, admin tooling, and launch. Everything is shipped solo by me, so every decision in the stack is intentional. SpecIQ (live, 240+ teams) was built this way.

Who it's for
Founders with a clear problem and the funding or revenue to commission a v1, or businesses spinning out an internal tool as a product. Not for projects that are still in the idea-validation phase — discovery for those is a separate, paid exploratory engagement.
Timeline
6 to 12 weeks from kickoff to live, paying-customer-ready product. Variance is mostly in AI integration complexity and whether the data pipeline already exists.
Outcome
A production-ready AI SaaS product on its own infrastructure — billing wired, admin and support flows ready, deployed and handed over. You own the codebase, you own the deployments, you don't depend on me to operate it.
See related case studies

02 · Track

Business Automation

Map and automate the manual work that's eating your team's hours. Zoho, Zapier, custom AI, glue code.

I design and build end-to-end business automation systems that eliminate the manual work nobody got around to fixing — invoicing, reconciliation, client onboarding, reporting, lead routing, document workflows. Built with Zoho, Zapier, custom AI integrations, and the right amount of custom code. Two systems shipped to date, both running zero-touch on the client side.

Who it's for
Founders and operators whose teams are spending hours per week on data movement, copy-paste between systems, or repetitive document and email work. If you can list three workflows you wish would just happen, this fits.
Timeline
3 to 8 weeks depending on scope. Most engagements involve a one-week discovery phase to map the lifecycle before any building starts.
Outcome
Manual work eliminated. The system runs itself; the team stops being the integration layer between disconnected tools and goes back to the work clients actually pay them for. Fully handed over, no ongoing dependency.
See related case studies

03 · Track

AI Feature Integration

Add real AI capability to an existing product or website — without breaking what already works.

I integrate AI capabilities into existing products and sites — chat interfaces, document generation, smart search, content automation, agentic workflows, OpenAI and Claude integrations. The brief is always the same: add the AI layer without disrupting the working surface, billing system, or customer experience.

Who it's for
Teams with a live product that needs an AI feature added thoughtfully — by someone who understands both the product side and the AI APIs. Not a fit for projects that need a full rebuild; if you're already considering that, the AI SaaS Development track is the right one.
Timeline
2 to 6 weeks per feature, depending on integration surface area and the maturity of the existing codebase.
Outcome
A new AI-powered capability live inside your product, integrated cleanly with the existing stack, documented and ready for your team to extend.
See related case studies

Process

How an engagement
actually runs.

No mystery. No retainers. No body-shop dynamics. Same shape every time.

  1. 01 · Discovery

    A paid 1–2 week discovery phase. I map the problem, the constraints, and the success criteria before anything gets built. No commitments to the larger build until discovery is signed off.

  2. 02 · Scope & Proposal

    A fixed scope, fixed timeline, fixed investment. No open-ended hourly engagements. You sign once and know exactly what's getting built and when.

  3. 03 · Build

    Weekly sync calls, async progress updates, working demos as they're ready. No mystery, no disappearing for weeks. You see the work as it happens.

  4. 04 · Handover

    Deployed on your infrastructure, full documentation, knowledge transfer to your team or operator. The goal is always: you don't need me to operate it after handover.

FAQ

The questions
people actually ask.

Real questions from prior discovery calls and sales conversations. If yours isn't here, the discovery call covers everything.

What does an AI Systems Architect actually do?
An AI Systems Architect designs and builds intelligent software systems end-to-end — AI-powered SaaS products and business automation. The role combines product strategy, full-stack engineering, and AI API integration into a single contract role. Most agencies split these across three people; I do them in one head, which is why scope can stay tight and decisions can move fast.
Do you take on projects directly, or only through Brioodev?
All paid project work goes through Brioodev, my agency. nikshit.me is the personal site — it's where I share my work, perspective, and contact details. Project enquiries, scoping, contracts, and invoicing all live at brioodev.com.
What's the typical project size you work with?
Engagements run from short 3–4 week focused automation builds to full 12-week AI SaaS products. There is no hard minimum — but every engagement starts with a paid discovery phase, so no commitments are made before the problem is clearly defined.
How long does a typical AI SaaS product take to build?
Six to twelve weeks from kickoff to launched, billing-enabled, production-ready product. The variance is mostly in the AI integration complexity, the data pipeline maturity, and how clearly defined the v1 scope is at the start.
What's the difference between AI automation and traditional automation?
Traditional automation moves data between systems based on hard rules — if X happens, do Y. AI automation handles work that requires interpretation: reading messy inputs, generating structured outputs, making judgement calls a rule engine cannot make. SpecIQ generating a compliance document from raw product data is AI automation. A Zoho-to-Books invoice sync is traditional automation. Most real systems use both, and the engineering choice is where to put the dividing line.
Do you work with non-AI projects?
Through Brioodev, yes. High-performance web products, business automation, and software builds that don't strictly require AI are still a fit. The AI Systems Architect title reflects what is distinctive about the work, not a hard filter on what gets taken on.
Where are you based and which timezones do you work in?
Remote-first, working globally. Project work flexes to the client's timezone. Weekly sync calls are scheduled to whatever timezone your team operates in — I have worked with teams across North America, Europe, the Middle East, and Asia-Pacific.
What happens after handover?
Every project is handed over fully documented, deployed on your infrastructure, and yours to operate. There is no mandatory retainer. If you want ongoing maintenance, support, or feature work, that is a separate, optional arrangement at agreed monthly hours. If not, the system is yours and runs on its own.

Next step

Ready when you are.
Discovery call first, always.

Visit Brioodev