Kirk Borne
@KirkDBorne
The Most Complete AI Agentic Engineering System — Step-by-step guide to build, optimize, and scale LLM agents: https://t.co/KX4CjHj5V7
Some highlights of what you will learn to launch and/or boost your Agentic AI Engineering portfolio:
🚀A precise definition of AI agents across academia industry and startups so you will learn to align stakeholders quickly and prevent scope creep
🚀Modular architecture patterns so you will learn to replace components safely and scale without regressions
🚀Perception reasoning action loop diagnostics so you will learn to cut latency and cost while fixing failures at the right step
🚀Memory designs for short term episodic semantic and long term so you will learn to stabilize long context OCR and multi file workflows
🚀Security guardrails and red teaming methods so you will learn to resist prompt injection data leakage and risky code execution
🚀Model selection and routing rubric so you will learn to hit SLOs while reducing spend without sacrificing quality
🚀Evaluation harness tied to business KPIs so you will learn to measure accuracy reliability and cost under real load
🚀Deployment playbooks with error handling so you will learn to move from staging to production with rollbacks alerts and audit trails
🚀Case study blueprints with before and after numbers so you will learn to present ROI clearly and secure buy in fast
