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Stories from the gateway

AI Agents

Orchestrator-Worker Patterns for Agents That Hold Up

The orchestrator-worker shape is the one multi-agent design that reliably pays for itself. Here is how to build the lead, the brief and the synthesis step.

· 9 min read
Fundamentals

Paged Attention: Virtual Memory for the KV Cache

Paged attention stores the KV cache in fixed-size blocks instead of one contiguous slab, which is what lets a server hold far more concurrent sessions.

· 9 min read
AI Agents

Parallel Tool Calls: When Concurrency Helps an Agent

· 8 min read
AI Agents

Partial Failure Recovery: When Half the Agents Succeed

· 9 min read
Cost & Pricing

Per-Seat vs Per-Token Pricing: Which One Fits Your Team

· 11 min read
Guides

PII in Prompts: How It Gets There and How to Get It Out

· 9 min read
Models

Pinning Model Versions: Why Aliases Break Production Quietly

· 8 min read
Fundamentals

Planning Storage for Self-Hosted Model Weights

· 9 min read
Fundamentals

Positional Encoding: How a Transformer Knows Token Order

· 9 min read
Guides

Pre-Commit Hooks That Call an LLM: Worth It or Not?

· 9 min read
Cost & Pricing

Prepaid vs Postpaid AI Billing: Credits or an Invoice

· 11 min read
Fundamentals

Pretraining vs Post-Training: Where a Model Gets Its Behaviour

· 9 min read
Cost & Pricing

Prompt Caching Savings: The Arithmetic Nobody Runs

· 8 min read
AI Agents

Prompt Regression Testing: A CI Gate for Fuzzy Output

· 9 min read

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