agent development
4 stories filed under agent development on Beyond Market Intelligence. The newest of them: “Grant Your LLM Safe Autonomy in 9 Practical Steps”, “From Demo to Production: Structuring a Reliable Backend for Your AI Agent”, and “Your Blueprint for Building and Deploying Your First AI Agent”. Giving an LLM permission to act sounds like a leap of faith. Turning a demo LangGraph agent into something that can actually hold onto real booking data is where the practical work begins. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every agent development story on Beyond Market Intelligence, newest first.
Grant Your LLM Safe Autonomy in 9 Practical Steps
Giving an LLM permission to act sounds like a leap of faith. This guide doesn't ask you to take that leap blindly, it breaks the process into nine practical steps. The author builds a control plane for AI agents, walking through how to grant safe autonomy without losing oversight. It's the kind of grounded, actionable thinking that makes complex systems feel manageable.
From Demo to Production: Structuring a Reliable Backend for Your AI Agent
Turning a demo LangGraph agent into something that can actually hold onto real booking data is where the practical work begins. Building a proper backend for that transition is a useful look at moving from proof-of-concept to something dependable. The focus stays on structure and persistence, not hype. For readers interested in how AI handles complexity at a deeper level, our piece on paragraph structure in LLMs offers a complementary perspective worth exploring.
Your Blueprint for Building and Deploying Your First AI Agent
Building your first autonomous agent can feel like assembling a plane mid-flight. This guide cuts through the noise, walking you through each step from initial design to live deployment without the fluff. It is a practical, grounded approach that respects your time. If you are still weighing the human cost of these tools, our related piece on questioning an AI clone offers a thoughtful counterpoint worth exploring. Start here, then keep asking the hard questions.
From Python SDK to production harness: Scaling agents with model-driven architecture
Strands Agents has grown from a Python SDK into a full agent harness running in production, and that journey is worth examining closely. Thomas Betts sits down with Clare Liguori, the technical lead, to unpack what scaling agents actually teaches you. Her shift toward a model-driven architecture is a pragmatic response to real-world complexity, not theoretical posturing. As LLMs improve, the questions shift from "can we" to "how reliably." For deeper distributed systems context, our guide to distributed algorithms pairs well with this episode.