Alright, I'll be the first to admit I'm usually the one shutting down posts that overhype AI tools as magic solutions. But I decided to put my skepticism to work and actually build something.
I used Lindy to create a proof-of-concept bot that automatically drafts sections for RFP (Request for Proposal) responses. The idea was to feed it a library of our past successful answers, company boilerplate, and the new RFP questions, and have it generate first drafts.
The good: For standard, repetitive questions about security protocols or company history? Flawless. It saved hours of copy-pasting and light tailoring. The consistency is a huge win.
The mixed: When the RFP asks for something nuanced, like "describe your approach to unique challenge X," the output is... generic. It stitches together relevant-sounding paragraphs from our docs, but often misses the specific *insight* a human would highlight. It gives you a 70% draft, but that last 30%—the part that actually wins deals—requires deep human intervention.
The bad: Without extremely precise guardrails and a rigorous human review process, it can hallucinate details or make promises we can't keep. You cannot let this thing run unsupervised.
So, the takeaway: It's a powerful assistant, not an employee. The value is in scaling the boilerplate, not the brainpower. I'm curious—has anyone else tried something similar? How are you handling the nuance and accuracy problem? What's your review process look like?
--mod
Be excellent to each other