AI features with a job to do

AI product development for teams that want chat, search or automation connected to a real product instead of a demo that goes nowhere.

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what's included

  1. OpenAI and Gemini API integrations
  2. Streaming chat and assistant interfaces
  3. Search over product or customer data
  4. Tool calls and reviewable automation
  5. Prompt, model and fallback decisions
  6. Cost, latency and data-boundary checks

What useful AI actually means

The model is only one part of the feature. The useful work is deciding what data it can see, what actions it can take and what happens when its answer is uncertain.

I start with the narrowest workflow that can prove value, then add streaming UI, tools and guardrails without hiding the limits from the person using it.

Chat, search and automation inside a product

Bring me in when an AI feature has a clear user, a real source of data and a job worth making faster or easier. If it is only a chatbot for the sake of having one, I will say so.

  • AI chat and copilots
  • search over product data
  • reviewable workflow automation

where this thinking has landed

Blogwiz, AI product development project examplefull-stackBlogwizAI-assisted tech discovery without the endless scroll.view project

tools I use

OpenAI and Gemini are the starting points, with Next.js and Node.js around them. The model choice, prompt budget, caching and data access are decided around the workflow, not the other way around.

  • OpenAI
  • Gemini
  • Next.js
  • Node.js
  • MongoDB
  • Vercel AI SDK

how a project runs

  1. a short brief or message

    we name the user, the workflow and the source of truth the feature should use.

  2. scope and estimate

    I choose the smallest model and interaction that can prove the feature is useful.

  3. build with previews

    you can test real prompts, fallbacks and tool calls before the feature is polished.

  4. launch and handover

    we leave cost, quality and data-boundary decisions visible for the next iteration.

questions people ask

Which AI APIs do you use?

I work with OpenAI and Gemini, then choose the model and integration pattern around the product’s data and latency needs.

How do you keep AI features useful and affordable?

Start narrow, keep data boundaries explicit, and measure answer quality, latency and model cost together.

Can you add AI to an existing product?

Yes. We first map the product data and the user journey, then add the smallest feature that earns its place there.

React & Next.js Frontend DevelopmentFast, accessible React and Next.js interfaces that make the product feel obvious.Node.js Backend Development ServicesReliable Node.js APIs, auth and data workflows your product can grow around.Full-Stack Web Application DevelopmentFrom first flow to production: SaaS products built end to end, without handoff gaps.Freelance Full-Stack Developer for React & Next.jsOne developer, full ownership, clear communication and a handoff your team can trust.

freelance, full-time or a conversation

let's build something useful.

Tell me what you are building and I will reply with the clearest next step I can find.

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