Back to home
Jev, and why AI calls don't always need a chatbot
TypeSafe's Jev doesn't write text. It makes decisions in a fraction of a second, for a fraction of the price of a chat model. Here's why that matters and where we'd use it first.
Read the note
Why enterprise AI stalls, and what we've seen work
The evidence on AI at scale is still mixed. Here's why we think so many rollouts stall, and what we've seen work in the businesses getting real value from it.
Read the note
Some things we've learned scaling LLM inference in production
One of the platforms we build and run processes millions of pages of documents every month. Here is what the volume taught us about cost, latency and keeping users trusting the output.
Read the note
Notes
Things we've learned by building.
Short, practical write-ups from the people doing the work. Lessons from production, not predictions about the future.
Jev, and why AI calls don't always need a chatbot
TypeSafe's Jev doesn't write text. It makes decisions in a fraction of a second, for a fraction of the price of a chat model. Here's why that matters and where we'd use it first.
Read the note
Why enterprise AI stalls, and what we've seen work
The evidence on AI at scale is still mixed. Here's why we think so many rollouts stall, and what we've seen work in the businesses getting real value from it.
Read the note
Some things we've learned scaling LLM inference in production
One of the platforms we build and run processes millions of pages of documents every month. Here is what the volume taught us about cost, latency and keeping users trusting the output.
Read the note