Someone shipped a small tool this week that flips how most people think about prompts.
Not a better model. Not a fancier interface. Just a different input.
Instead of writing prompts from scratch, u/Federal-Donkey-7359 built a tool called Tuk Work AI that mines real conversations for patterns, then uses those patterns as structured prompt input. The core idea: human language from actual discussions is better raw material than anything you’d invent yourself at a blank text box.
Here’s the workflow:
- 🔍 Feed it a real discussion thread (Reddit, support forums, Discord, anywhere people vent)
- 📊 It surfaces recurring themes and patterns from that conversation
- 🧩 Those patterns get structured into prompt-ready input
- ✍️ You generate from that foundation instead of thin air
The twist is in the output quality. Results feel grounded in problems people actually describe. Less “generic AI answer,” more “this person gets my exact situation.” Because the source material is exactly that: real people describing real situations.
Pro Tips:
- Niche communities beat broad ones. A subreddit dedicated to one specific tool gives tighter, more precise patterns than a general tech forum.
- Complaint threads and support threads are gold. Frustrated people describe their problems in detail. That detail is what makes prompts specific.
The tool is early stage. But you don’t need it to test the approach right now. Grab a relevant Reddit thread, paste it into Claude, ask it to extract the core problems and recurring themes, then build your prompt from those. Same logic, zero new tools. 🚀
Using real discussions as input for better prompt generation
by u/Federal-Donkey-7359 in PromptEngineering