Search ideas for Claude Sonnet 4.5 (Anthropic)

February 26, 20262 mins

Search ideas for Claude Sonnet 4.5 on Anthropic with concrete Osirus UI workflows and starter prompts.

Claude Sonnet 4.5 on Anthropic is a practical option for Search workflows in Osirus AI.

Claude Sonnet is commonly used as a balanced tier for quality, speed, and versatility.

What you can build with this model

  • Grounded research workflows that blend internal docs with web context.
  • Query rewriting pipelines that improve recall before retrieval.
  • Answer synthesis flows that produce short executive summaries plus detail blocks.

Why this model is a good fit

  • Good for day-to-day assistants handling mixed complexity.
  • Strong all-around performance for product and developer workflows.
  • Suitable for structured business outputs and implementation plans.
  • Strong for concise synthesis over mixed retrieval inputs.
  • Runs as a connected provider model in Osirus after provider setup.

Build flow in Osirus UI

  1. Open /search in Osirus and select Claude Sonnet 4.5 from Anthropic.
  2. Force answer sections for findings, evidence, and unresolved questions.
  3. Track retrieval hit quality and revise prompts for weak evidence cases.
  4. Define retrieval scope (docs, web, or blended) before prompt tuning.
  5. Save the final workflow as a repeatable pattern for your team.

Starter prompts

  • Create an executive summary from search results with one-paragraph recommendations.
  • Compare the top three sources and list agreement points, conflicts, and missing data.
  • Rewrite this user query into five focused search queries for deeper retrieval coverage.

Production checklist

  • Evaluate outputs against completeness and contradiction metrics.
  • Separate retrieval quality checks from answer quality checks.
  • Log query rewrites and measure which rewrites improve source relevance.
  • Add source freshness expectations for time-sensitive topics.
  • Add grounding/context blocks to avoid over-generalized responses.

Open this model in Osirus and turn one of these ideas into a reusable team workflow.