Field study
Trending
Memory architectures that outperformed KV-cache in production
Field notes from teams using external memory, summarization, and retrieval to control long-running agents.
Featured story
The quiet shift from chatbots to systems that act on your behalf.
Agentic models are quietly rewriting the assumptions baked into a decade of product design. We talked to eleven teams shipping them, and the takeaway is less about intelligence and more about delegation.
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Explainer
AI Hacks
RAG in 2026: four patterns production teams still use
Retrieval-augmented generation survived the hype cycle because the architecture became more disciplined.
Tool review
Tools
LangChain evals versus Braintrust and Langfuse
How the current eval tooling landscape compares for teams trying to ship reliable AI workflows.
Feature
Hidden Gems
The benchmark we do not have: agents that actually finish
Most evaluations measure intermediate skill. Operators need finish-rate, recovery, escalation, and cost-to-complete.
Field notes
Popular
What a $14B AI lab round signals about the second tier
The funding story is really a market-structure story: distribution, enterprise trust, and lower-cost specialization.
Diagram
Trending
Sub-quadratic attention is back, and the math is getting useful
A new wave of sequence modeling research is pushing efficient attention back into production conversations.
“
The interesting question is no longer what can the model do — it's what should we let it do unsupervised, and on whose behalf.
Maya Patel · Field notes from eleven agent teams
Editor's pick
Feature
Hidden Gems · 8 min
The benchmark we do not have: agents that actually finish
Most evaluations measure intermediate skill. Operators need finish-rate, recovery, escalation, and cost-to-complete.
More from the archive
Sorted by recency · Browse all
01
AI Hacks RAG in 2026: four patterns production teams still use
Retrieval-augmented generation survived the hype cycle because the architecture became more disciplined.
02
Tools LangChain evals versus Braintrust and Langfuse
How the current eval tooling landscape compares for teams trying to ship reliable AI workflows.
03
Hidden Gems The benchmark we do not have: agents that actually finish
Most evaluations measure intermediate skill. Operators need finish-rate, recovery, escalation, and cost-to-complete.
04
Popular What a $14B AI lab round signals about the second tier
The funding story is really a market-structure story: distribution, enterprise trust, and lower-cost specialization.
05
Trending Sub-quadratic attention is back, and the math is getting useful
A new wave of sequence modeling research is pushing efficient attention back into production conversations.
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