TypeSafe Jev, GLM 5.3 & OMP Delegation — AI Daily Sep 16

September 16 was dominated by the launch of TypeSafe's Jev, a small, fast decision engine that returns confidence scores for classification, ranking, and boolean choices. Builders scrambled for waitlist access, tested it on ad copy ranking, Meta Ads screenshot analysis, and agent orchestration, and debated its scope versus OpenAI-style Structured Outputs. Consensus emerged around a clean rubric from @geilt: classify with TypeSafe, reason with LLMs. @leewardbound framed the bigger thesis — small models will handle 95%+ of inference as structured calls while big LLMs focus on the dev loop — though the open-source HuggingFace release is reportedly a dud versus the hosted version. @geilt also shipped TypeSafe CLI, and Kieran and others are holding off pending clearer use cases. Model selection and orchestration filled the rest of the day. Builders tiered their stacks: GLM 5.3 flash as the daily workhorse on established codebases with huge quotas, Fable 5.1 for mid-tier work, and Astra 6 reserved for the hardest problems — capped at 2–3 hour autonomous runs with forced realignment to prevent drift. Grok 4.7 began rolling out and slotted into coding workflows alongside OMP's new `^[Model Name]` syntax for delegating subagent tasks. JC shared his stack (Astra/Fable for ADRs, GLM for big builds, Gemini 3.8 Flash for Hermes), and the Grok Bot Galaxy livestream helped non-devs grok orchestration, though skeptics noted a properly configured Hermes is model-agnostic and matches Grok Bot. Go-to-market threads covered Franky Shaw-style 6–8 minute storytelling video ads (~$25–50/gen, modular scripts yielding 30+ variants tested for hook rate and CVR), Maria Wendt's tightly scoped micro-courses and WarriorBabe's $30M+/year fitness model as low-ticket funnel templates, real-time personalized landing pages (pre-render 100 sections, pick a winner), and Leewardbound's verdict that chart-only crypto trading bots lose to commodities and equities because of richer external signals.