Uncovering Agent Behavior: Evidence-Based Oversight for Long-Horizon Agents
This paper proposes evidence-grounded oversight, AgentMonBench, and EBG to help users verify what long-horizon AI agents actually did.
Tutorials
Step-by-step guides to getting real tasks done with AI: set up, do the work, avoid the pitfalls.
Edge-Deployed Multimodal Open D1 Decision Models
Open d1 models enable fast one-pass multimodal edge AI. d1-3B leads Decision Index under 10B; d1-omni-600M explores text, image, audio.
Create and Train a 25M-Parameter LLM from Scratch Using Only Your CPU
A tutorial shows building, pre-training, and fine-tuning a 25M-parameter LLM on CPU, covering architecture, loss, and reinforcement learning.
Jev AI Developer Guide: Creating a Confidence-Gated Ticket Router with Python
A guide maps Choice, score, noul questions, exact wire formats, TypeSafe limits, and model uncertainty for confidence-gated Python routing.
Here Are the Fixes We Made When Connecting a WordPress Site to AI Agents via MCP
MCP Adapter 0.6.1 tests reveal fixes for categories, schemas, write limits, and security checks before AI agents touch live WordPress sites.
Creating an Art Recommender from the Ground Up Using CLIP and ChromaDB
A guide to turning art images into CLIP embeddings and storing them in ChromaDB for semantic similarity search in a recommender system.
The Semantic Cache: Recycling Responses in a System That Never Duplicates Itself
Similarity-keyed caching boosts hit rates but can return wrong answers. Use it for repetitive queries and tune thresholds from real traffic.
How to Enable a Cloud to Decode a Drone’s Intentions While Reducing Data Consumption by 94%
A PyTorch world model tutorial shares a small AI model between drone and cloud, syncing state to cut data use by 94% for edge robotics.
Building an Affordable and Dependable Model Router Using Jev
This guide explains why model routing should be an early architecture decision rather than a late-stage fallback. It outlines a practical checklist for building a cheap, reliable router: classify requ…
A Guide to Building a Control Plane for AI Agents
A control plane gives AI agents safe, bounded action through scoped tools, risk rules, approvals, limits, logs, tests, and periodic policy review.
Understanding AI Agent Observability: A Guide to Logging, Tracing, and Debugging
Trace waterfall guide reveals order, timing, hierarchy, gaps, and failures in multi-step workflows, enabling faster AI agent debugging.
Integrating Temporal Reasoning into Graph-RAG: Monitoring Fact Recency and Obsolescence
This guide adds temporal reasoning to Graph-RAG using timestamps, validity rules, and scoring to prefer current facts and flag outdated claims.
Analyzing Financial Market Sentiment from RSS Feeds Using Gemini and Seaborn
Gemini plus Pydantic turns financial RSS into structured sentiment, visualized with Seaborn; results show only 40% agreement with keyword scoring.
Citing Anthropic’s Frontier Red Team
Anthropic Frontier Red Team: GLM-5.3 and Claude Mythos Preview got 4% and 6% control-flow hijacks on 100 binary tasks; earlier models scored zero.
Building Architectural Guardrails for AI Agents: A Design Guide
Guardrails help data engineers make AI agent pipelines safer through tool allowlists, validation, approvals, observability, and rollback.
Consistency-Adaptive Graphs for Long-Horizon Agents
ACG stores agent execution evidence in a graph, selects relevant context, and raises GPT-5.6-luna success on long-horizon tasks.
Jev: An AI Model That Makes Decisions Instead of Generating Text — A Full Guide from Concept to Production
This guide reviews a decision-focused AI model, linking Jev to TypeSafe AI System One and noting what developers should verify for production.
A Step-by-Step Guide to Building Your Own AI Security Agent
A step-by-step guide to a 148-line Python preflight scan that checks secrets and injection risks before AI agents access a project.
How to Build Your Own JEV Model Using an Open LLM
Adapt a small Qwen LLM by swapping its LM head for a classifier, enabling fast single-pass label prediction with lower latency and simpler deployment
Discover the Potential of AI Agents Through the New Claude Certified Developer Foundations Course
Andrew Brown's 8-hour freeCodeCamp course teaches Claude APIs, MCP, prompt engineering, security, and agentic workflows for CCDV-F certification.