5,249 stories
An agent is autonomous until it hits something it cannot buy. In this cookbook, we show how Nevermined empowers an agent built on LangChain, mid-task, to acquire web search credits, and then - after exhausting those credits - top up with more.
If you ship software, you already know: agents are builders. Is your API ready for them?
The CIO's guide to enterprise-grade CX impact: How to escape pilot purgatory (Sponsor)
In our 2026.6 release, we are shipping updates across administrative security, programmatic API control, developer portal integrations, and platform-wide accessibility—ensuring both your engineers and your AI agents act on verified, decision-grade knowledge.
Andi Gutmans, head of Agentic Data Cloud at Google, returns for the second half of his Leaders of Code conversation to talk through the cost and infrastructure side of agentic development. ICYMI, part one covered judgment, code review, and data activation.
Nvidia co-founder and chief executive officer Jensen Huang was among hundreds of executives with oth ...
Aircall AI is the most integrated AI platform, and it’s now something you can build on. Our Developer Portal gives engineering teams a public, documented path to turn conversations into structured data and to let AI agents take real actions in your systems during a live call or message.
Kent C. Dodds explains why product judgment, system understanding, and ownership become more valuable as AI agents take on more implementation work.
Computer use agents operate your whole desktop, mouse, keyboard, any app. How they work, the 2026 landscape (Claude, Operator, Mariner, Copilot), and how to run one safely.
The LaunchDarkly AI SDK is available for Python and JavaScript and is the path we recommend for every new AgentControl integration.
AutoGPT recruitment agents empower startups to automate talent sourcing. Discover how to build custom AI recruiters for autonomous hiring and scale.
A source-backed review of advertising MCP servers, a reproducible reliability methodology, and clearly bounded transport, terminal, and semantic measurements.
A content-team-first comparison of the best AI collaboration software tools in 2026, with features, pros, cons, pricing, and why StoryChief ranks first.
Coding agents fail on context, not capability. A practical guide to context engineering for a real repository: the four layers, a token budget you can reason about, how to diagnose which layer is failing, and how to keep it from going stale.
One package gives Mastra agents a single database for conversations, workflow state, observability and vectors, plus managed memory that extracts and semantically recalls facts.
Rolling out AI to your support team fails on trust, not model accuracy. A 60 day change management plan that keeps agents in control.
Customer support SLA with AI: why response-time clauses stop working and how to rewrite resolution, handoff, and reporting clauses.
Today, I'm excited to announce that two leading engineering and design companies are now strategic investors in Nomic and long-term commercial partners.
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