Paving the way for AI agents in biology
In this Anthropic Science post, Laura Luebbert argues that we need to make biological data infrastructure more agent-friendly.
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingAnthropic
SHADE-Arena: Evaluating Sabotage and Monitoring in LLM AgentsAnthropic
Trustworthy agents in practiceAnthropic
Project Swap: What happens when agents trade for us?Anthropic
Vibe physics: The AI grad studentAnthropic
10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify
Explore and Visualize Data the Apache Superset WayThenewstack
Pulumi Neo Now Supports AGENTS.mdPulumi
Unpacking sandbox startup latency: why started ≠ readyModal
How to serve trillions of tokens for trillion-parameter coding agentsModal
Do AI Agents Need a Semantic Layer?Motherduck
Building a Remote MCP Server: OAuth, Tool Design & Lessons from 4,000+ AI Queries | MotherDuckMotherduck
AGENTS.md outperforms skills in our agent evalsVercel
Performing an Instant Rollback on a DeploymentVercel
You can just ship agentsVercel
skill.md - MintlifyMintlify
Best Documentation Platforms for AI Agents in 2026Mintlify
Voice AI for Government: Speech-to-Text for Government MissionsDeepgram
From ASR to CSR: Why Conversation Changes EverythingDeepgram
