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<p><strong>Ready for the "max" on search? Then MiniMax M2</strong> on <strong>Bedrock</strong> is a practical option for <strong>Search</strong> workflows in Osirus AI. <span style="font-size:1rem">This model can be integrated into Osirus workflows for iterative prompt development and app-specific automation.</span></p>
    <h4>What you can build with this model</h4>
    <ul><li>Answer synthesis flows that produce short executive summaries plus detail blocks.</li><li>Competitive monitoring briefs generated from recurring search snapshots.</li><li>Grounded research workflows that blend internal docs with web context.</li></ul>
    <h4>Why this model is a good fit</h4>
    <ul><li>Supports rapid testing of prompt strategy and output structure.</li><li>Useful for turning manual team workflows into reusable AI runbooks.</li><li>Flexible for prototype-to-production iteration loops.</li><li>Strong fit for retrieval synthesis and decision-support style responses.</li><li>Model outputs include: Text.</li></ul>
    <h4>Build flow in Osirus UI</h4>
    <ol><li>Open <code>/search</code> in Osirus and select <strong>MiniMax M2</strong> from <strong>Bedrock</strong>.</li><li>Define retrieval scope (docs, web, or blended) before prompt tuning.</li><li>Add a query-rewrite stage for better recall and cleaner evidence.</li><li>Force answer sections for findings, evidence, and unresolved questions.</li><li>Save the final workflow as a repeatable pattern for your team.</li></ol>
    <h4>Starter prompts</h4>
    <ul><li>Rewrite this user query into five focused search queries for deeper retrieval coverage.</li><li>Given these retrieved passages, produce an answer with assumptions, evidence, and confidence level.</li><li>Create an executive summary from search results with one-paragraph recommendations.</li></ul>
    <h4>Production checklist</h4>
    <ul><li>Evaluate outputs against completeness and contradiction metrics.</li><li>Add source freshness expectations for time-sensitive topics.</li><li>Enforce citation rules for high-stakes summaries.</li><li>Separate retrieval quality checks from answer quality checks.</li><li>Define quality criteria early and evaluate outputs against those criteria.</li></ul>
    <p><a href="/providers/aws/models/minimax.minimax-m2">Open this model in Osirus</a> and turn one of these ideas into a reusable team workflow.</p>

Search Ideas for MiniMax M2 with Amazon Bedrock

matt

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