News & guides
Pre-Commit Hooks That Call an LLM: Worth It or Not?
How to wire a model into a git pre-commit hook, which checks actually belong there, and the latency and cost budget that decides whether the team keeps it.
· 9 min read
Prepaid vs Postpaid AI Billing: Credits or an Invoice
Prepaid credits cap your downside and expire. Postpaid invoices never block work and arrive after the damage. How to pick when usage is unpredictable.
· 11 min read
Pretraining vs Post-Training: Where a Model Gets Its Behaviour
Pretraining decides what a model knows. Post-training decides how it behaves. Knowing which stage owns a problem tells you whether prompting can fix it.
· 9 min readPrompt Caching Savings: The Arithmetic Nobody Runs
Cached input is priced far below uncached input. Working out what that is worth for your workload, and what prompt structure it demands.
· 8 min read
Prompt Regression Testing: A CI Gate for Fuzzy Output
Prompt edits regress silently and every score is noisy. How to build a golden set, pick a scorer, handle variance and gate merges without a permanently red build.
· 9 min read
Prompt Templates and Versioning: Treating Prompts as Code
Prompts drift, break silently and get edited in production. How to template them safely, version them properly and know which version produced which output.
· 9 min read
Proxying LLM Traffic: What a Gateway Has to Get Right
Putting a gateway in front of an inference provider centralises keys, budgets and routing. Here is what breaks if you get streaming, headers or cancellation wrong.
· 9 min read
Quantization Cost Savings and the Quality You Trade Away
Lower precision cuts memory and raises throughput, which is what makes single-GPU hosting possible. What it costs in quality is not evenly distributed.
· 8 min read
Qwen 3.5 Coder vs DeepSeek V4 Pro: Specialist or Generalist
A code-tuned model against a large general MoE. What each design buys you, where the published numbers stop helping, and how to decide on your own repo.
· 9 min read
Qwen 3.6 27B vs Max: Shipped Model or Preview Tier
One is a dense 27B you can run on a single GPU today. The other is a preview whose numbers can move. How to pick a tier inside one model family.
· 9 min readQwen 3.6 Guide: The Frontier Model That Fits on One GPU
Qwen 3.6 27B is dense, not mixture-of-experts, and runs on a single GPU while scoring 77.2 percent. Why that combination matters more than its position on a leaderboard.
· 8 min readQwen 3.6 Max: How to Plan Around a Preview Model
Max is still a preview tier, which means its specs, weights and price can all move. A procedure for evaluating and depending on a model that has not settled.
· 9 min readReady to try it?
Every model behind one key. Start free and upgrade when it sticks.