Practical tools
Templates for planning work and money
BoredTools offers practical spreadsheets for budgets, freelance work and small projects.
Inference Optimization: A Practical Production Guide
Most inference costs hide in places engineers never check. This guide breaks down KV-cache management, speculative decoding, quantization trade-offs, and the batching strategies that cut serving costs in half.
AI Evaluation Frameworks 2026: Why Benchmarks Keep Lying
AI benchmarks are broken. Contaminated datasets, narrow metrics, and Goodhart's law mean top scores rarely predict real-world performance. Here is what evaluation frameworks actually need to measure in 2026.
Best AI Agent Monitoring and Observability Tools 2026
Your agent passed evals. Then it spent $400 in one afternoon on a retry loop. We tested 8 observability tools in production agent workflows during Q1 2026.
AI Orchestration Patterns in 2026: What Survives Production
The three orchestration patterns proven in production: sequential pipelines, parallel fan-out, and evaluator-optimizer loops. Trade-offs and kill-switch design.
Your Multi-Agent System's Biggest Problem Is Its Org Chart
Static multi-agent topologies leave massive performance on the table. New research shows agents that rewire their own communication graphs outperform fixed architectures by double-digit margins.
Multi-Agent Systems for DevOps: CI/CD, Incident Response, and Infrastructure Automation
Komodor's Klaudia cut MTTR by 63%. Pulumi Neo dropped provisioning from 3 days to 4 hours. Where multi-agent DevOps is actually working in production.
OpenAI Agents SDK in Production: Traces, Tooling, and Hand-offs That Don’t Break
Build reliable agent workflows with OpenAI Agents SDK: traces, tool-call guardrails, handoffs, retries, and deployment checks.
AI Agents in Financial Services: Compliance, Trading, and Operational Automation
JP Morgan's LOXM, Stripe's Radar, Mastercard's 300% fraud detection improvement. Where AI agents actually work in financial services, and where the hype outpaces reality.
MoE vs Dense Models: A Practitioner's Decision Guide for 2026
Mixture of Experts models are cheaper per token. That's the headline every vendor leads with. But 'cheaper per token' and 'better for your workload' aren't the same thing.
Best RAG Frameworks and Tools 2026: From Prototype to Production
Framework choice determines whether your RAG system actually works. The gap between a demo and a production system that handles messy documents at scale is enormous. Eight frameworks that matter in 2026.