Generative optimization fixes invisible SaaS products now
With 40% of discovery now in AI tools, traditional SEO fails. Learn the five GEO pillars to structure entity data for machine citability.
Framework reviews, autonomous coders and multi-agent systems — tracked and explained by the AI Agents News desk.
With 40% of discovery now in AI tools, traditional SEO fails. Learn the five GEO pillars to structure entity data for machine citability.
Learn how Gemini's 85.9 BrowseComp score drives autonomous research. See how collaborative planning prevents wasted compute on misaligned queries.
Learn how function calling converts vague intent into structured JSON requests, enabling agents to fetch external data instead of guessing.
Function calling adds 346 extra tokens per API call. Learn how strict JSON schemas and namespaces reduce this hidden architectural cost for agents.
Dissect five canonical AI agent architectures like ReAct and PlanExecute to fix latency, cost, and reliability in production systems.
LangSmith supports four distinct evaluator types to validate agent performance. Learn how offline testing and LLM-as-judge scoring catch regressions early.
crewAI 1.14.7a1 adds native Snowflake Cortex integration and lazy loading to cut startup times. Learn how trained agents persist state across sessions.
crewAI 1.14.6a1 adds a Skills Repository to decouple logic, addressing fragility in the 79% of businesses already deploying agents.
CrewAI 1.14.6a2 fixes state serialization for 54.7k-star repo, adding GPG verification and blocking environment variable leaks in tool execution.
crewAI 1.15.2 introduces inline skill definitions and unified declarative flow loading to simplify agent orchestration for engineering teams.
crewAI 1.14.7 resolves critical CVEs and adds pluggable backends. Learn how per-run state isolation keeps concurrent agent runs from leaking context.
With 2,448 agents on Agent.ai, the shift to coordinated teams is clear. Learn how multi-agent units handle complex workflows without manual handoffs.