TechMitten

Automation & private AI

Copying the same details between systems and chasing replies can fill a day. Let's look at the tasks that repeat, automate the ones worth automating, and where AI genuinely helps, set it up so your data stays on hardware you control.

Pick one task, understand what it really costs you in time, and choose the simplest reliable way to handle it.

Automated follow-ups

Connect inquiry forms, confirmations, and reminders so the right information reaches the right place without you retyping it.

  • Inquiry alerts and auto-replies
  • Appointment and payment reminders
  • A clear handoff when a person needs to step in

Local, private AI

Run capable AI models on your own machine or server, so customer details and documents never get sent to a third party.

  • Models running on hardware you own
  • No per-message fees and no data sent off-site
  • Private drafting, summarising, and document search

Connected business tools

Stop retyping between the tools you already pay for, wherever their integrations allow it.

  • Forms, spreadsheets, and accounting tools
  • Customer and job records kept in step
  • Scheduled reports and notifications

Two of my own products run AI models entirely on the user’s own hardware. That is the same approach I would set up for your business.

The LMSA Android app for local AI models

40,000+ installs on Google Play

LMSA

An Android client for LM Studio and Ollama. Chats run against your own machine, with an encrypted on-device history and no telemetry.

The Origami AI local studio interface

Zero data sent off-site

Origami AI

Turns a PDF deck into a narrated video, running the language model and speech directly in the browser with WebGPU.

The AppBlips text-to-app generator

Self-hosted option

AppBlips

A text-to-app generator you can run on your own server, with one API key kept server-side rather than in the browser.

A small local computer connected to email, calendar, document, and chat icons

Spend where it matters

Check the value before adding another tool.

An automation still costs money to build and to maintain, and AI is no different. We weigh that against the work it removes. Sometimes a feature you already pay for, or a simpler process, does the job for nothing.

  • Start with one workflow and measure it
  • Ongoing software and hosting fees made clear
  • Local models compared honestly against paid services
  • Test the result and plan for what happens when it fails
Talk through your situation

A practical next step

A rough idea is enough. I'll help you work out the details.