flow-discover

To orchestrate multi-provider research across Codex and Gemini CLIs, you initiate a discovery workflow that coordinates a dynamic agent fleet to perform divergent exploration and synthesize results. This approach maximizes coverage and reduces single-model bias during ecosystem research.

A dynamic agent fleet for divergent discovery is a coordinated set of AI perspectives orchestrated across multiple providers. It builds diverse viewpoints to maximize research coverage when mapping best practices, patterns, and ecosystem insights in knowledge domains.

Yes, you can use this workflow to synthesize best-practices and patterns research. It collects results from background probes across Codex and Gemini CLIs, producing a structured, citation-backed synthesis file for downstream decision making.

The best way to reduce single-model bias in ecosystem mapping is to run orchestrated multi-AI discovery across Codex and Gemini CLIs. By building a dynamic agent fleet, you gather diverse perspectives that maximize coverage and produce synthesis-ready outputs.

You generate a structured synthesis file from background probes by executing the multi-provider discovery workflow. The process collects divergent research results from Codex and Gemini, formatting them into a citation-backed synthesis ready for downstream use.

Yes, you need Codex and Gemini CLIs to perform multi-provider discovery. The workflow explicitly orchestrates these two CLIs to run parallel research, collect background probe results, and synthesize findings into a structured output for ecosystem analysis.