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Tech Copilot | AI Chrome Extension for Automotive Technicians
Tech Copilot is a production Chrome extension built for automotive technicians. It works directly inside the browser as an AI assistant, helping technicians understand repair information, work with VIN-specific context, capture screenshots, and get diagnostic guidance without constantly switching between tools.
I built the Chrome extension architecture and continued developing the product across multiple paid milestones, taking it from the initial MVP into a polished live product.
Key features include:
• Manifest V3 Chrome extension
• Floating browser-based AI assistant
• OpenAI-powered responses
• Gemini Pro RAG with VIN-specific context
• Screenshot, snip and scroll capture
• Conversation modes and persistent state
• Usage-based free trial and monthly limits
• ExtensionPay subscription integration
• Freemium access and upgrade flows
• Production debugging, testing and ongoing improvements
The extension is live on the Chrome Web Store and has been developed through a long-term Upwork engagement with multiple completed milestones and a 5.0 client review.
Role: Chrome Extension & Full-Stack AI Developer
Tech: Chrome Manifest V3, JavaScript, React, OpenAI, Gemini, RAG, APIs, ExtensionPay, SaaS
Live product: https://www.techaicopilot.com/how-it-works
Chrome Web Store: https://chromewebstore.google.com/detail/tech-copilot/iipllbfcpkhafndcobpljgkjhlhohkbl
Case study: https://pasindup.vercel.app/projects/tech-copilot
Chrome Extension DevelopmentAI DevelopmentFull Stack DevelopmentGoogle GeminiJavaScriptVisual Studio Code
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Back in 2016 I made a lot of cinemagraphs for HBO.
They took a surprising amount of work. Masking footage, finding the right loop, freezing parts of the frame and getting everything to transition cleanly.
I’ve had an idea for a simpler cinemagraph tool kicking around in my head ever since.
About a month ago I built another small tool using Toolcraft as the starting point, so yesterday I wanted to see if it could handle this idea too.
A few hours later I had a working cinemagraph editor.
Drop in a video → find your loop → choose how it loops → paint the areas you want to keep still → export.
Basically the workflow I used 10 years ago, condensed into a few controls.
Still rough around the edges, but kind of wild to finally build a tool I’ve been thinking about for a decade.
The masking-and-looping history is exactly why a simpler cinemagraph workflow feels valuable; the tricky part is preserving a seamless transition without making the tool feel like a timeline editor. Curious direction for an AI-assisted app.
What if your PC could actually listen, understand, and do the work for you?
I’m building that idea into something real.
Meet AURA — my personal AI voice assistant for Windows.
Instead of building another chatbot that only answers questions, I’m experimenting with an AI agent that can actually interact with my computer and help with everyday work.
So far, AURA can:
• Have live voice conversations
• Convert speech to text and respond with voice
• Open applications like Excel, Power BI, Chrome, and Windows Settings
• Search the web and YouTube through voice
• Perform basic PC and file operations
• Understand requests through Gemini
• Execute actions through a safety-controlled automation layer
• Continue listening after completing a task
But this is only the beginning.
My long-term goal is to make AURA understand my actual workspace — including what’s happening on my screen and inside applications — so I can simply say:
“Open my Excel file, check the sales data, clean the date column, and add a formula for total revenue.”
And let AURA handle the workflow.
I also want it to become useful for my own Data Analytics work — from Excel and Power BI workflows to repetitive desktop tasks, research, and automation.
I’m building AURA with Python, AI, voice technologies, desktop automation, Excel, Power BI, and LLMs, while keeping safety and human control at the core.
It’s still far from the final vision.
But that’s exactly what makes the project interesting.
I’m not just learning how AI agents work.
I’m trying to build one that I can actually use every day.
Building in public. Learning by building. 🚀
#AI #AIAgents #Python #AIAssistant #VoiceAI #DesktopAutomation #DataAnalytics #PowerBI #Excel #Automation #BuildInPublic
The screen-reading step is where I would put the guardrail. Once AURA can read what is in the window, everything on that screen is input - and a page it opened from a voice search can hold a sentence written to be read as an instruction. I spent a while trying to rob my own...
