I’m Pete Bond, and SwiftMarket.ai is my studio. I use AI to build and research at machine speed, and I check everything it produces before it reaches you.
I build mobile apps, Home Assistant apps, internal tools and small web apps. You tell me what it needs to do, and I build it with AI, test it properly and hand over the source code.
Examples on this site: Droppl, Home Meal Planner and Zombified
Competitor scans, market snapshots and monthly briefings, each ending in a clear recommendation. The essence of SwiftMarket.ai.
Logos and brand kits, website reviews and homepage redesigns, app icons, store graphics and short animated explainers.
Examples on this site: Droppl’s store kit and Zombified’s artwork
A practical review of how your organisation works, covering your data, your workflows, your team’s skills and safe use, with a ranked plan at the end.
About the AI Opportunity Review →A last-survivor-standing board game you can play in your browser now, while the physical game is on its way.
A planning space for the whole household’s weekly dinners. It writes the shopping list from the recipes and puts the week on the kitchen display (Google Home or Nest Hub required).
So far I’ve worked with firms in training, legal, agriculture, facilities and retail, and every report stays confidential.
See a sample report →A short call to pin down the decision you’re facing, or the job the software needs to do.
I use AI to try several approaches to the code, research or design at once.
I run the tests, check the sources and go through the details myself.
You get the source code, the files and a plain-English walkthrough of how it all works.
I was Head of Computing before moving into AI, and I’m also a registered data protection officer for a charity. SwiftMarket.ai is where I put all of that to work, for small businesses and for my own projects like Droppl and Zombified.
Teaching taught me to explain things plainly, so you’ll always know which parts the AI did, which parts I did, and why.
