Anthropic expands tool-use controls for long-running Claude workflows
ANTHROPIC
DevinBiAI PUBLICATION
MENUSEARCH
01 / TOP STORY
UPDATED 18 MIN AGOMODELS
OpenAI’s new reasoning model changes the cost curve for production AI
The headline is not the benchmark score. It is what happens when stronger reasoning becomes cheap enough to sit inside everyday products.
Read the story →STORY VISUAL / OPENAI2026.09.11
o5 reasoning / production
DEVINBI ORIGINAL · CONCEPTUAL MODEL · NOT TO SCALE
02 / LATEST AI NEWS
Latest AI News
A fast, source-first scan of the developments worth knowing today.
NVIDIA introduces a lower-power inference stack aimed at dense agent workloads
NVIDIA
Google DeepMind publishes a new method for evaluating multi-step reasoning reliability
DEEPMIND
Microsoft brings model routing and agent governance deeper into Azure AI
MICROSOFT
Hugging Face releases an open toolkit for reproducible browser-agent benchmarks
HUGGING FACE
03 / TRENDING TOPICS
Trending Topics
What the AI conversation is clustering around right now.
04 / EXPERIMENTS
Experiments
Real tools. Real workflows. Measured outcomes.
HANDS-ON / AGENTS
We gave three coding agents the same broken production task
Same repository, same acceptance criteria, same time box. The difference was not where we expected it.
See the results →TEST LOG / 0028
Can a browser agent finish a real procurement flow without intervention?
TEST LOG / 0027
Testing local models for structured tool calling under latency pressure
05 / DEEP DIVES
Deep Dives
Long-form technical analysis for the systems behind the headlines.
The inference stack is becoming the product
Why routing, caching, observability and evaluation are moving from supporting infrastructure into the core AI experience.
Benchmarks are easy. Reliable agent evaluation is not.
What breaks when evaluation moves from static model scores into long-running agent behavior.