Prompt and Context Design for AI Work Classification
What to put in Claude's context and what to leave out when classifying AI work — taxonomy injection, summaries over transcripts, and AEI-style accuracy trade-offs.
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What to put in Claude's context and what to leave out when classifying AI work — taxonomy injection, summaries over transcripts, and AEI-style accuracy trade-offs.
Connect MCP servers to an AEI-style Claude analytics agent the right way — auth kept server-side, narrow schemas, structured errors, and idempotent writes.
Reusable code-level patterns for classifying AI work with Claude — closed-vocabulary prompts, schema enforcement, context economy, and eval harnesses, AEI-style.
Step-by-step: classify agent conversations against a task taxonomy with Claude, label augment vs. automate, and aggregate safely — like the Anthropic Economic Index.
A technical teardown of how the Anthropic Economic Index turns private Claude usage into labor-market signal — classifier, taxonomy, privacy wall, and roll-ups.
Standardized Test Cases to Assess AI Model Performance
How Do You Really Know If Your LLM Is Good Enough? A Guide to Controlled Evaluation Metrics
How the three leading AI models compare across coding, reasoning, math, and multimodal benchmarks — with each model claiming victories in different domains.
DeepL Voice API enables real-time speech transcription and translation into 5 languages simultaneously for multilingual AI agent deployments.
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