Gemini Decisions API: what it is, when to use it
Google's Gemini Decisions API scores yes/no, choice and rubric questions in one pass. What it costs, where it fits, and where a chat model still wins.
Notes from building apps, shows and AI systems with a small team.
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Google's Gemini Decisions API scores yes/no, choice and rubric questions in one pass. What it costs, where it fits, and where a chat model still wins.
A plain guide to reporting a civic problem in India: what to write, which office to use, the official deadlines, and how to follow up when nothing happens.
On 22 October Anthropic donated Agent Skills to the Linux Foundation's AAIF. What a skill actually is, why we keep ours short, and what not to install.
On 15 October Anthropic gave METR employee-like access to its models. What independence really means, and a version a small product team can run.
Two studies found AI chatbots flatter users and do not help people decide better. How to ask an AI for advice without being told what you want to hear.
Haiku 5.5 costs about 75% less than Haiku 4.5. What we would move onto it in Cabin, what we would not, and why evals come first.
How to stop overthinking a decision: name the question, set a time limit, define good enough, cut the options, get distance and act. With sources.
Anthropic met religious scholars, including Swami Sarvapriyananda, about Claude's values. What we know, what it means, and lessons for AI teams.
Five Indian apps from one small team: Cabin for decisions, QuesMo for friend quizzes, Karma, an interview prep app in beta and a local shop finder.
How we set up a team of AI coding agents and one advisor agent to ship tested tickets around the clock: roles, ledgers, release trains and what broke.
What a social quiz app changes: answering with friends instead of scrolling alone, and what research on active and passive social media use says.
Specs, small plans, task-scoped agents, independent review and real checks. How agents do the work while people keep the decisions.
Practical rules for a responsible AI companion app: say it is an AI, skip engagement hooks, handle crisis moments, and give people control of memory.
How to build a Hinglish AI chatbot people enjoy: match the user's register, handle Roman and Devanagari script, test code-mixed prompts and watch cost.
Why we route requests across more than one model provider, how prompt caching cuts repeat costs, and why routing changes pass offline evals first.
A practical llms.txt guide: what the file is, what Google says about it, who uses it, and how to generate one from your site's content in minutes.
Long-term memory for an AI companion is about keeping facts current, not storing more. Recall, supersession, and why contradictions cost trust.
India's AI content labelling rules and YouTube's synthetic content label, explained for creators: what counts, what to disclose and a simple checklist.
How to build LLM evals with a small team: start from real failures, use pass/fail checks, calibrate an LLM judge and gate every prompt change.