Technical AI research, explained clearly for researchers, builders, and anyone trying to understand what actually matters.
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 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.
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.
The three orchestration patterns proven in production: sequential pipelines, parallel fan-out, and evaluator-optimizer loops. Trade-offs and kill-switch design.
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.
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.
Build reliable agent workflows with OpenAI Agents SDK: traces, tool-call guardrails, handoffs, retries, and deployment checks.
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.
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.
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.
External tools
Swarm Signal keeps the research layer. For reusable trackers and production templates, use BoredTools.
Queue is empty. Click "+ Queue" on any article to add it.