Agentic AI is moving from pilot to production. What does the stack need? Microsoft AI, Nous Research and OpenRouter weigh in, moderated by Greylock's @jerrychen at Ignite. Register:

Agentic commerce is when AI agents buy goods or services for people and businesses. Within approved limits, agents can pay for what a task needs and keep working without manual checkout. USDC supports programmable, 24/7 payments.

Agents that know your business. Trusted to act. Better with every run. Here’s how Snowflake CoCo and Snowflake CoWork help you build faster and work smarter👇 #SnowflakeExpedition#

Agents can build software. But what about the databases behind it? Databricks VP of Engineering and @neondatabase co-founder @nikitabase joined @MTSlive to talk about database branching, serverless architecture, and building for both AI agents and enterprise workloads.

agents hit @firecrawl over a billion times a month those requests show us exactly what data agents need, and that demand decides what goes on alexandria’s shelves give your agents the library they’re missing 🔥

AgentScope introduces Piccolo: open-weight decision models in 27B, 9B, and 4B sizes for agent and data workflows. Piccolo evaluates candidate options in context and returns structured decisions with probabilities. 🤖 🌐 Explore Piccolo: 🎯 Decisions that drive action: Control game characters, select and review tools, retain relevant context, filter data, assess output quality, and choose the next step—all through one decision interface. 📊 Benchmark results: Piccolo-27B achieves 92.21% accuracy on JevBench Public and scores 68.59 and 77.75 on text and multimodal Decision Index Public, respectively. On our purpose-built benchmarks, it achieves 84.41% on HarnessJevBench for agent execution control and 82.60% on DataJevBench for data workflows. 🔄 Recursive self-improvement: Model errors and per-example learning signals guide data selection, synthesis, and changes to training and inference. Research agents test each change and use the results to plan the next round, within human-defined goals and budgets. 📜 Apache 2.0; third-party licenses apply. 💻 Code: