News & guides
Multi-Agent Systems: When They Help and When They Hurt
Two credible teams published opposite advice on multi-agent architectures within a day of each other. Both were right, because the answer depends on the task.
· 9 min read
Multimodal Models Explained: How Images Become Tokens
A multimodal model does not see an image. It sees patch embeddings projected into the same space as text tokens. What that implies for cost and accuracy.
· 8 min read
One API Key Across Every Coding Tool You Use
Editor extension, terminal agent, CI job and a script all pointing at the same endpoint. The env var conventions, the per-tool quirks, and key hygiene that scales.
· 8 min read
Open Weights vs Open Source: The Distinction That Matters
Downloadable weights are not the same thing as open source. Here is what the licences actually permit, and which differences change what you can ship.
· 9 min read
Open-Weight Models in 2026: Licences, Sizes and Trade-offs
Kimi K3, GLM-5.2, DeepSeek V4, MiniMax M3 and Qwen compared on the axes that decide deployment: licence terms, active parameters, serving cost and benchmark shape.
· 11 min readOpenClaw Setup: Custom OpenAI-Compatible Provider
OpenClaw ignores the base URL environment variables you expect. Here is the provider block in openclaw.json that actually works, plus the model policy gotcha.
· 8 min read
Per-Token vs Flat-Rate AI Pricing: Run the Numbers Yourself
Metered inference makes sense until you start using agents. Here is the arithmetic that decides which billing model is cheaper for how you actually work.
· 7 min read
Prompt Caching Economics: Break-Even, TTL and Hit Rate
Cache writes cost more than normal input, so caching only pays above a read threshold. Here is the arithmetic for TTL choice, hit rate and breakpoint placement.
· 8 min readPrompt Caching: Stop Paying for the Same Tokens Twice
Prompt caching reuses the prefill work for a repeated prefix, cutting cost and first-token latency. The whole technique comes down to one ordering rule.
· 9 min read
Prompt Engineering for Coding Agents Is Mostly Context Engineering
Clever phrasing barely moves the needle. What actually improves agent output is what you put in front of it, in what order, with what constraints.
· 8 min read
Prompt Injection: Why Your Agent Is a Confused Deputy
An agent that reads untrusted content can be instructed by it. The fix is not a better prompt — it is treating the model as an untrusted client.
· 8 min readQuantization Explained: Big Models on Smaller Hardware
Quantization shrinks model weights to fewer bits so they fit in less memory. Here is how the formats differ, what accuracy you lose, and how to pick one without guessing.
· 9 min readReady to try it?
Every model behind one key. Start free and upgrade when it sticks.