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Your Agent Has 100 Tools and Still Forgets Everything
Your agent has a hundred tools and still forgets everything. Why context windows are not memory, what to persist, and the retrieval boundary that fixes recall.
The Lab
Decision guides for the software and AI you're considering — what works, what it costs, and where it fails.
8 articles
Your AI Ops Bot Is Not Your Co-Founder: Guardrails First
Letting an agent touch production needs blast-radius limits, not trust. The guardrails to set first, the failure modes they stop, and where to keep a human.
LLM Fine-Tuning: Your Dataset Is the Hard Part, Not the Run
Fine-tuning rarely fails on hyperparameters. The quality gates that catch a lying dataset before you pay for a training run, and when RAG is the cheaper answer.
Jentic One: Secure Agent API Execution, Tested
Jentic One keeps API keys out of agent prompts by injecting them at a broker gate. A hands-on install: the real failure modes, release/docs drift, and where a sandbox pilot starts.
Local LLM Inference: A 96GB Blackwell Field Guide (2026)
Running local LLMs on 96GB Blackwell: which models fit, vLLM against SGLang, the throughput you actually get, and the places the setup quietly falls over.
Self-Hosted AI Video Generation: The Failure Modes
An AI video pipeline is not a prompt. The queue, the retries, the VRAM ceiling and the failure modes that decide whether self-hosting is cheaper than an API.
vLLM MTP: Faster Inference That Quietly Broke Tool Calls
Multi-token prediction cut our latency, then quietly corrupted tool calls. What MTP does, how the failure presented, and the settings that made it safe again.
What the Workflow Decision Lab Is and How It Decides
How this site works: named operator scenarios, direct verdicts, sourced costs, named failure modes, a 30-day test, and the rule that no claim ships unsourced.