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Agent Architecture

  • Planning and Execution
  • Memory and Selective Recall
  • Building the Complete Agent
  • Advanced Agents From First Principles 23: Your Infrastructure Is Healthy. Why Is the Agent Getting Worse? Detect Behavioral Drift and Roll Back Safely
  • Advanced Agents From First Principles 21: What Happens When Too Many Agents Compete for the Same Resources? Add Admission Control, Quotas and Backpressure
  • Advanced Agents From First Principles 20: Can Your Agent Coordinate Across Machines Without Duplicating Work? Use Leases, Idempotency and Fencing
  • Advanced Agents From First Principles 19: Can Your Agent Explore in Parallel Without Creating Chaos? Use Speculative Execution and Early Cancellation
  • Advanced Agents From First Principles 18: What Should Your Agent Observe Next? Use Expected Value of Information
  • Advanced Agents From First Principles 17: What Is Your Agent Actually Uncertain About?
  • Advanced Agents From First Principles 16: Where Should an Agent Spend Its Compute? Build a Dynamic Budget Scheduler
  • Advanced Agents From First Principles 15: How Do You Optimize an Agent Policy Without Turning It Into Another Black Box?
  • Advanced Agents From First Principles 14: Can Your Agent Learn From Its Own Trajectories Without Learning the Wrong Lessons?
  • Advanced Agents From First Principles 13: How Do You Debug an Agent That Made the Wrong Decision? Add Trajectory Observability
  • Advanced Agents From First Principles 11: Which Advanced Agent Architecture Should You Use? A Practical Selection Guide
  • Advanced Agents From First Principles 29: When Should an Agent Stop and Ask a Human? Design Authority Boundaries and Escalation
  • Advanced Agents From First Principles 32: Which Capabilities Are Actually Worth Building? Design a Capability Portfolio
  • Advanced Agents From First Principles 33: Which Shared Components Actually Unlock More Capability? Build a Capability Dependency Graph
  • Advanced Agents From First Principles 34: Where Should This Task Actually Run? Build Capability-Aware Placement Across Models, Providers and Resource Pools
  • Advanced Agents From First Principles 38: A Plan Is Not a Commitment — Model Goals, Commitments and Executable Work
  • Advanced Agents From First Principles 42: How Do Multiple Agents Coordinate Without Becoming a Distributed Argument?
  • Advanced Agents From First Principles 43: Who Controls the Agent? Build an Explicit Agent Control Plane
  • Advanced Agents From First Principles 10: Are You Combining Every Agent Technique Into One Monster? Build a Mixture-of-Agents Runtime
  • Advanced Agents From First Principles 09: Can Your Agent Actually Learn From Previous Runs?
  • Advanced Agents From First Principles 00: When Should You Use an Advanced Agent Architecture?
  • Advanced Agents From First Principles 07: Do Your Agents Agree Too Easily? Use Adversarial Review and Multi-Agent Debate Without Confusing Debate With Truth
  • A Memory Gate for AI: Policy-Bounded Acceptance in the Executable Cognitive Kernel
  • Intelligence Through Execution: The Executable Cognitive Kernel
  • Self-Improving AI: A System That Learns, Validates, and Retrains Itself
  • Thoughts of Algorithms
  • Document Intelligence: Turning Documents into Structured Knowledge
  • Learning to Learn: A LATS-Based Framework for Self-Aware AI Pipelines
  • Programming Intelligence: Using Symbolic Rules to Steer and Evolve AI
  • Adaptive Reasoning with ARM: Teaching AI the Right Way to Think
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© 2026 Ernan Hughes
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