Stop Building AI Agents the Old Way

checkout latitude for agent observability: https://github.com/latitude-dev/latitude-llm In this video I break down how to design long-running agents that can operate for hours or days without going off the rails. I cover the 7 core components: a clear, measurable goal (as a contract), a separate evaluator/judge, strict verifiers (deterministic checks plus stronger evaluations), an outer control loop to prevent early stopping and iterate on failures, orchestration across roles and models (planning, execution, evaluation) to control cost and quality, observability with dashboards and feedback surfaces to monitor runs, and memory via session mining to turn past failures into rules. I also explain why agents still fail (shortcuts, weak plans, stale context) and how each component catches those issues, plus a practical workflow to engineer agents reliably. LINKS: https://try.latitude.so/agents My voice to text App: whryte.com Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Why Long Running Agents 00:34 The Seven Core Components 01:19 Goals as Contracts 02:42 Evaluator Separate Judge 04:04 Verifiers Proof Not Claims 05:13 Outer Loop Control System 06:29 Sponsor Latitude Observability 08:41 Orchestration Roles And Models 09:58 Observability Dashboards Feedback 11:13 Memory Session Mining Recap