Logic offers a managed platform for building and deploying AI agents with built-in evals and observability
Shipping a real AI agent can mean weeks of wiring up frameworks, prompts, retries, and eval harnesses before you see production. Logic replaces that stack. You write a structured spec that describes…
Read the full articleYou might also wanna read
Vercel's Agent Stack: A Unified Framework for Building Production-Grade AI Agents
Build production-grade AI agents with Vercel's Agent Stack. Connect to any model, run durable multi-step workflows, and securely link agents
vercel.com·29d ago
The Essential Architecture of Production-Grade AI Agents: Beyond LLMs and RAG
Beyond Chatbots: The Essential Architecture of Production-Grade AI Agents + Video - "Undercode Testing": Monitor hackers like a pro. Get rea
undercodetesting.com·16h ago
Metorial: Integration Platform for Agentic AI Development
The integration platform for agentic AI. 📡 🚀. Contribute to metorial/metorial development by creating an account on GitHub.
github.com·9mo ago
Modern AI Systems: Understanding LLMs, Production Architectures, and Security Guardrails
Modern AI Systems Demystified: From LLMs to Production-Grade Security Architectures + Video - "Undercode Testing": Monitor hackers like a pr
undercodetesting.com·3d ago
Managing and Scaling AI In An Agentic World
Autonomous agents represent a new inflection point in AI. As global conversations increasingly revolve around trusted AI and responsible dep
A Journey from AI to LLMs and MCP - 5 - AI Agent Frameworks – Benefits and Limitations
## Free Resources - **[Free Apache Iceberg Course](
Comments
Sign in to join the conversation.
No comments yet. Be the first.