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feat(solutions): web apps

AI web apps

Web apps where AI does real work inside the product: answers that stream in as they are written, forms that fill themselves, and search that shows its sources.

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Overview

An AI feature earns its place when it saves someone a step they take every day.

We find that step first, then build the web app around it, with the model running on the server and a person approving what matters. You get one product, not a chatbot bolted onto the side.

What we build.

  • 01

    Streaming answers

    Responses appear as the model writes them, and the rest of the screen stays usable, so nobody stares at a spinner.

  • 02

    Search and chat over your data

    Questions answered from your documents, tickets or database, with the sources shown so people can check the answer.

  • 03

    Assisted forms and workflows

    The app drafts, extracts and fills in. A person reviews it before anything is saved or sent.

  • 04

    Accounts, roles and a record

    Sign-in, team roles and permissions, and a log of what the AI suggested and who approved it.

From first commit to first customer.

Four steps to a working app. Then the same team brings it customers.

  1. 01

    Map the workflow

    We sit with the people who will use it and find the step AI should take over. That becomes the first screen.

  2. 02

    Build the interface

    Next.js and TypeScript on real data from the first week, so you click through working software, not mockups.

  3. 03

    Connect the AI

    Model calls run on the server and stream to the browser, with logging, cost limits and a fallback when a model is slow.

  4. 04

    Test and launch

    Accessibility and load checks, error tracking, then a launch you can watch in the numbers.

  5. HEADGrow itSEO, ads and content from the same team, starting from the app's own data.See growth services

Built with

Next.js React TypeScript Tailwind CSS PostgreSQL Drizzle ORM Redis WebSockets

Related work.

All work

Questions.

Which AI models do you use?

Whichever fits the job and the budget. The model sits behind one interface in the code, so you can switch providers later without rebuilding the app.

Will our data be used to train a model?

Not by us. We pick providers whose API terms do not train on your data, and we keep sensitive fields out of prompts where we can.

Do streaming answers work on phones?

Yes. The answer streams into the page like any other text, so it works in any modern mobile browser.

What happens after launch?

The same team keeps going: fixes and new features, and when you want customers for it, SEO, ads and content from our growth side.

Tell us the step you want AI to take over.

A few lines on who uses it and what slows them down is enough. We reply within 12 hours.

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