Preparing Enterprise Data and Workflows for AI Agent Readiness
Getting data and workflows ready for AI agents takes a governed, machine-readable context layer they can read from and write back to, kept current by the work.
6 stories
Getting data and workflows ready for AI agents takes a governed, machine-readable context layer they can read from and write back to, kept current by the work.
Five vision-capable LLMs compared for product photo captions, receipt parsing, and chart understanding in 2026, with per-1,000-image cost math.
Storing an image is easy. Making a fact cite the screenshot it was read from, without inventing evidence, is the hard part. How attachments work in Hindsight 0.10.0.
Companies do not need another rip-and-replace AI project. They need a context layer that makes the tools they already run legible to AI.
The demo always lands. Three months later, nobody uses it. Why enterprise AI stalls after the pilot - and the context layer that makes it compound.
For decades, software has been something you operate. A quiet shift is underway - software that works alongside you, adapts to how your team really works, and gets better on its own.
Showing 6 of 6 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts