LLM Launches & Updates
Model releases, capability jumps, benchmark results, context-window changes, and — crucially — pricing. LLM Launches & Updates tracks the frontier labs and the fast-moving open-weight ecosystem with a builder’s eye: not just what launched, but what it means for your architecture and your bill. We translate benchmark noise into practical guidance, compare tiers and API prices side by side, and flag the deprecations and rate-limit changes that quietly break production apps. When a new model ships, this is the page that tells you whether to migrate, wait, or ignore it entirely.
The new LLM pricing math: how to cut your API bill without changing models
Token prices dropped again, but the real savings are in routing, caching, and context discipline. A practical…
Claude Skills, explained: how reusable agent playbooks change AI workflows
Skills let you package a process once and have Claude run it the same way every time. Here’s the mental model, the…
GitHub Weekly Wins: five repos worth starring this week
A local-first agent runtime, a tiny vector store, a terminal LLM client, and two libraries quietly becoming…
How to sell AI automation services to local businesses (a starter playbook)
You don’t need a SaaS to earn with AI. Packaging a repeatable automation as a service is the fastest path to real…
How a solo founder built a $14k/month micro-SaaS with AI in five months
No funding, no team, no prior SaaS experience. A breakdown of the product, the stack, the growth, and the three…