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AI Development — Shipping AI Features, Not Demos

Senior AI development that actually ships — live Claude apps in production, including FlexiCommerce's AI Store Generator at ~$0.06 per generation.

// the short answer

Ujjwal Technolabs builds production AI features for SaaS and mobile products. Our core is the Claude API, and we have live proof: the build-plan generator on this site and FlexiCommerce's AI Store Generator (~$0.06 per generation) are both real Claude apps with paying users behind them. We're fluent in OpenAI/GPT, RAG, agents, and embeddings too.

Ujjwal Technolabs builds production AI features for SaaS and mobile products. Our core is the Claude API, and we have live proof: the build-plan generator on this site and FlexiCommerce's AI Store Generator (~$0.06 per generation) are both real Claude apps with paying users behind them. We're fluent in OpenAI/GPT, RAG, agents, and embeddings too.

What we build with AI

We treat AI as a product capability, not a buzzword bolt-on. The features we ship tend to do one job well, cost predictably, and degrade gracefully when the model is uncertain. Concretely, we build:

  • Generation features — like FlexiCommerce's AI Store Generator, which produces a full themed storefront from a prompt for around $0.06 per run. Structured output, validated before it touches your database.
  • Assistants and copilots — in-app helpers that draft content, answer questions about your data, or guide users through setup, wired to real actions in your product.
  • Retrieval-augmented (RAG) search — answering questions over your own documents, catalog, or knowledge base using embeddings and vector search instead of hallucination.
  • LLM agents and workflows — multi-step automations that call tools, fill forms, classify tickets, or enrich records, with guardrails and human review where it matters.
  • Classification and extraction — turning messy text, emails, or documents into clean structured data your app can act on.

Every one of these ships with cost monitoring, retries, and fallbacks. We instrument token spend from day one so a feature can't quietly become a runaway bill.

Where AI fits

AI earns its place when a task is fuzzy, language-heavy, or expensive to do by hand — and when an approximately-right answer, reviewed by a human or validated by code, is genuinely useful. Good candidates include:

  • Onboarding that would otherwise demand tedious manual setup (generate a starting point, let the user refine it).
  • Support, search, and Q&A over content you already own.
  • Drafting, summarizing, tagging, and routing at volume.
  • Extracting structure from unstructured input — invoices, inspections, forms, free text.

AI is a weaker fit when you need deterministic, audited, exactly-correct results every time, or when a simple rule, a database query, or a regular form would do the job faster and cheaper. We'll tell you when that's the case.

Our proof

We don't just integrate AI for clients — we run it in our own products, which means we've paid the real bills and fixed the real edge cases. FlexiCommerce, our multi-tenant e-commerce SaaS (~450,000 lines, Laravel 12 / Filament 5, Vue 3 / Inertia, three native Flutter apps, ~500 API endpoints), includes a live AI Store Generator running on the Claude API at roughly $0.06 per generation. The free AI build plan tool on this site is another shipping Claude app you can try right now.

That's our core, with deep production proof. Beyond Claude we're fluent in OpenAI/GPT, RAG and vector search (pgvector, embeddings), LLM agents, fine-tuning, and ML pipelines — we build with these confidently, and we scope them honestly rather than overselling a past project that doesn't exist. Founder Deepak Nagar brings 12+ years of full-stack experience to every engagement.

Is AI the right choice for you?

AI is a great fit when the value comes from handling language, generating drafts, or making sense of messy input at scale — and when a human or a validation layer can catch the occasional miss. If a feature like "describe it and we'll build a starting point" would delight your users, that's exactly the kind of thing we ship.

AI is the wrong choice when you need guaranteed-correct, auditable answers (financial calculations, legal compliance logic, anything where a wrong answer is unacceptable), when a deterministic rule or query solves it more cheaply, or when the per-request model cost would outweigh the benefit. In those cases the honest answer is to build the boring, reliable thing — and we'd rather tell you that than sell you tokens you don't need.

If you're not sure where you sit, that's normal. Often the right product is mostly conventional software with one or two well-chosen AI features. We design for that mix.

How to start

We work pay-as-it-ships: transparent "from" pricing billed monthly as features land, full code ownership from day one, pause anytime, no lock-in. See our services and pricing for the model, browse hire an AI developer if you want a dedicated engagement, or generate a free AI build plan for your idea in minutes. We're remote-first and work worldwide; reach Deepak directly at deepak@flexicommerce.in.

FAQ

The technical questions, answered.

Both. We run live AI in our own products — FlexiCommerce's AI Store Generator (~$0.06 per generation) and the build-plan tool on this site are both production Claude apps. That means we've handled real cost control, retries, and edge cases, not just demos.

Our daily-driver core is the Claude API, with deep production proof. We're also fluent in OpenAI/GPT, RAG and vector search (pgvector, embeddings), LLM agents, and fine-tuning, and we choose the right model per feature rather than forcing one stack on every problem.

We instrument token spend from day one and design features around a predictable per-request cost — FlexiCommerce's store generator runs at roughly $0.06 per generation, for example. We add caching, validation, and fallbacks so a feature can't quietly turn into a runaway bill.

Yes. AI is great for fuzzy, language-heavy tasks where an approximately-right, reviewable answer is useful. If you need deterministic, audited results — or a simple rule or query would do the job cheaper — we'll recommend the reliable conventional approach instead.

You own the full code from day one — no platform lock-in. We bill pay-as-it-ships: transparent monthly pricing as features land, and you can pause anytime. You provide or own the model API keys, so usage costs stay fully in your control.

Building on Ai?

Describe your build and we'll scope it into monthly milestones with an honest 'from' price.