Search ideas for gpt-3.5-turbo (OpenAI)

gpt-3.5-turbo on OpenAI is a practical option for Search workflows in Osirus AI.

This model can be integrated into Osirus workflows for iterative prompt development and app-specific automation.

What you can build with this model

• Analyst workflows that compare multiple sources and reconcile contradictions.
• Structured report generation from retrieved passages and citation snippets.
• Grounded research workflows that blend internal docs with web context.

Why this model is a good fit

• Useful for turning manual team workflows into reusable AI runbooks.
• Flexible for prototype-to-production iteration loops.
• Supports rapid testing of prompt strategy and output structure.
• Strong fit for retrieval synthesis and decision-support style responses.
• Model outputs include: Text.

Build flow in Osirus UI

1. Open /search in Osirus and select gpt-3.5-turbo from OpenAI.
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

• Draft a research brief with priorities: speed, reliability, and implementation effort.
• Build a fact table from the retrieved content and include open questions.
• Create an executive summary from search results with one-paragraph recommendations.

Production checklist

• 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.
• Enforce citation rules for high-stakes summaries.
• Define quality criteria early and evaluate outputs against those criteria.

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