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Your company's everyday records (SOPs, tickets, CRM, internal docs) have become one of the most sought-after inputs in AI.
What that means, who it's for, and how to see if your company qualifies 🧵
The next jump in AI agents won’t come from better base models.
It will come from environments built on how real companies actually work — incomplete info, exceptions, competing priorities, the stuff that lives in SOPs, tickets, and decision histories.
Synthetic data and internet scrapes get you so far. Then agents hit the wall of real operational complexity.
Labs are now paying companies (sometimes mid-six to low-seven figures) to license that data so they can build better RL environments.
If your team’s workflows are documented and repeated, you might already own a high-value training asset.
Curious: what’s one process in your company that still requires human judgment an AI agent would struggle with today?
@Venkydotdev sales- yes there are great AI sales reps available today but for big decision/big ticket items, companies and decision makers will always want human connection and trust.
@dramaricic OpenAI and Anthropic aren't going to intentionally slow down- they're going to run out of publicly available human data to train on.
They will rely on companies like @micro1_ai to license internal workflows from businesses to continue model training.
@master_jpma Your results with AI heavily depend on your understanding of AI.
Properly prompting, contextualizing, and connection of AI to resources will and always has given the best results.
@sl1ma4 when you're prompting claude to have creative output on your applications and tasks- that's when you're allowing Claude to build, instead of telling Claude how and what to build.
the general processes, the generic workflows- rich in training AI models. This is exactly what firms like @micro1_ai are licensing. licenses typically range from $200k-$2M+