Agents

What Is an Agent, Really?
The Action Boundary
Candidate Generation and Selection
Critique, Revision, and Acceptance
Planning and Execution
Runtime State, Progress, and Termination
Capabilities and Routing
Memory and Selective Recall
Trajectory Search
Evidence and Verification
Building the Complete Agent
Advanced Agents From First Principles 24: How Do You Release Agent Behavior Safely? Add Behavioral Contracts, Compatibility Checks and Promotion Gates
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 06: Does One Agent Plan, Execute and Judge Its Own Work? Build a Planner-Executor-Critic Architecture
Advanced Agents From First Principles 05: Is One Model Doing Everything? Build a Mixture of Experts at the Agent Level
Advanced Agents From First Principles 04: Does Your Agent Prune Good Ideas Too Early? Use Monte Carlo Tree Search for Long-Horizon Reasoning
Advanced Agents From First Principles 03: Does Your Agent Commit to a Bad Reasoning Path Too Early? Build a Tree of Thoughts
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
Advanced Agents From First Principles 00: When Should You Use an Advanced Agent Architecture?
Delta Memory: Cargo-Culting Human Memory with Search
A Memory Gate for AI: Policy-Bounded Acceptance in the Executable Cognitive Kernel
Intelligence Through Execution: The Executable Cognitive Kernel
Hallucination Energy: A Geometric Foundation for Policy-Bounded AI
✨ TINY CRITICS: Lightweight Reasoning Checks for Large AI Systems
The Nexus Blossom: How AI Thoughts Turn into Habits
🔦 Phōs: Visualizing How AI Learns and How to Build It Yourself
Episteme: Distilling Knowledge into AI
From Photo Albums to Movies: Teaching AI to See Its Own Progress
SIS: The Visual Dashboard That Makes Stephanie's AI Understandable
Everything is a Trace: Stephanie Enters Full Reflective Mode
Layers of thought: smarter reasoning with the Hierarchical Reasoning Model
Stephanie's Secret: The Dawn of Reflective AI
The Shape of Thought: Exploring Embedding Strategies with Ollama, HF, and H-Net
Getting Smarter at Getting Smarter: A Practical Guide to Self-Tuning AI
Epistemic Engines: Building Reflective Minds with Belief Cartridges and In-Context Learning
Self-Improving AI: A System That Learns, Validates, and Retrains Itself
Teaching Tiny Models to Think Big: Distilling Intelligence Across Devices
Agent Architectures: Chapter 2
Compiling Thought: Building a Prompt Compiler for Self-Improving AI
Agent Architectures: Chapter 1
Thoughts of Algorithms
Document Intelligence: Turning Documents into Structured Knowledge
Learning to Learn: A LATS-Based Framework for Self-Aware AI Pipelines
Dimensions of Thought: A Smarter Way to Evaluate AI
Programming Intelligence: Using Symbolic Rules to Steer and Evolve AI
Adaptive Reasoning with ARM: Teaching AI the Right Way to Think
A Novel Approach to Autonomous Research: Implementing NOVELSEEK with Modular AI Agents
General Reasoner: The smarter Local Agent
Building a Self-Improving Chain-of-Thought Agent: Local LLMs Meet the CoT Encyclopedia
Self-Improving Agents: Applying the Sharpening Framework to Local LLMs
Building an AI Co-Scientist
Uncovering Reasoning in LLMs with Sparse Autoencoders
Optimizing Prompt Generation with MARS and DSPy
Shakespeare and the Bible: An AI Investigation
Build Smarter AI: Leveraging the Model Context Protocol for Dynamic Context
Beyond Text Generation: Coding Ollama Function Calls and Tools
Building AI-Powered Applications with Haystack and Ollama
LiteLLM: A Lightweight Wrapper for Multi-Provider LLMs
The Power of Logits: Unlocking Smarter, Safer LLM Responses
Automating Paper Retrieval and Processing with PaperSearch
RAFT: Reward rAnked FineTuning - A New Approach to Generative Model Alignment
DeepResearch Part 3: Getting the best web data for your research
DeepResearch Part 2: Building a RAG Tool for arXiv PDFs
DeepResearch Part 1: Building an arXiv Search Tool with SmolAgents
Writing Neural Networks with PyTorch
Mastering Prompt Engineering: A Practical Guide
Harnessing the Power of Stable Diffusion WebUI
Rag: Retrieval-Augmented Generation
CAG: Cache-Augmented Generation
Agents: A tutorial on building agents in python
Courses: Free course on Agentic AI
Ollama: The local LLM solution