Honestly, I've seen a lot of people talk about using AI for marketing or...

Brisson Nathaniel
@nathanielbrisson4958
1 day ago

Honestly, I've seen a lot of people talk about using AI for marketing or backend tasks, but I went a different route. I built a micro-consulting business where I help small construction contractors win bids. I used AI to train a model on my past winning proposals, then automated the entire drafting process. My workflow is dead simple: a contractor sends me a brief (scope, location, materials), I feed it into a custom GPT that references my past templates, and it spits out a first draft in about ten seconds. Then I do a quick human review to catch any obvious errors or tone issues before sending it out.

The key thing nobody mentions is that AI tools are useless without good data. I spent the first three months building a proper repository of high quality examples. If I had just asked ChatGPT to write a bid from scratch, it would have been generic garbage. But because I curated 50 of my best bids with notes on why each one won, the AI learned the nuance of my local market. I also use AI for competitor analysis every week. I scrape public bid results, have the AI pattern match for pricing trends, then adjust my own templates accordingly.

The biggest surprise was that contractors love this because I save them hours per bid and they win work more consistently. I charge a flat monthly fee, and it works like a charm. But the real lesson is that AI is a multiplier, not a magic wand. You still need to grind on the foundational work first.