Verification

Build a Production AI Agent From First Principles: The Complete Reference Architecture
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 12: Is Your Advanced Agent Actually Better? Benchmark It Under Equal Budgets
Advanced Agents From First Principles 11: Which Advanced Agent Architecture Should You Use? A Practical Selection Guide
Advanced Agents From First Principles 08: Is Your Agent Spending the Same Compute on Every Task? Build Adaptive Agents That Escalate Only When Needed
Advanced Agents From First Principles 26: Why Did the Agent Fail? Build an Incident Forensics Pipeline
Advanced Agents From First Principles 27: How Reliable Does an Agent Need to Be? Define SLOs and Error Budgets
Advanced Agents From First Principles 28: Where Should You Spend the Next Engineering Hour? Prioritize Reliability by Risk and Expected Return
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 30: Is This Task Outside Your Agent’s Competence? Build Competence Envelopes and OOD Detection
Advanced Agents From First Principles 31: How Can an Agent Learn New Capabilities Without Expanding Its Own Authority? Use Sandboxed Capability Acquisition
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 35: How Do You Move a Running Agent Between Workers Without Losing Meaning? Build Portable Execution State and Safe Handoff
Advanced Agents From First Principles 36: Is Your Agent Acting on Stale State? Build Temporal Consistency, Freshness Budgets and Conflict Detection
Advanced Agents From First Principles 37: Is Your Agent Still Solving the Right Task? Build Intent Versioning, Supersession and Cancellation
Advanced Agents From First Principles 39: How Do You Make an Agent Survive for Days? Build Durable Long-Running Workflows
Advanced Agents From First Principles 41: What Should Your Agent Trust? Build Explicit Security and Trust Boundaries
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
You Probably Don't Need All of This: Build the Minimum Production Agent Architecture
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 06: Does One Agent Plan, Execute and Judge Its Own Work? Build a Planner-Executor-Critic Architecture
Advanced Agents From First Principles 02: Why Does My Reasoning Agent Give a Different Answer Every Time? Use Self-Consistency Without Confusing Consensus With Truth
Advanced Agents From First Principles 01: Does Your AI Agent Fail on Complex Reasoning Tasks? Treat Chain of Thought as Computation, Not Proof
Agents From First Principles 09: AI Agent Says It Worked When It Didn’t? Verify the Result Outside the LLM
Advanced Agents From First Principles 07: Do Your Agents Agree Too Easily? Use Adversarial Review and Multi-Agent Debate Without Confusing Debate With Truth
Codex Manager: Building a Prompt-State Runtime for Hackathon-Grade Code Optimization
A Memory Gate for AI: Policy-Bounded Acceptance in the Executable Cognitive Kernel
Episteme: Distilling Knowledge into AI