deep-research

Verified technology analysis uses a multi-phase process coordinating Claude, Codex, and agy models for scoping, parallel search, AI collaboration, and structured output. This approach cross-validates information from various sources to ensure thorough fact-checking and systematic analysis.

Multi-AI verification is an approach where Claude, Codex, and agy models independently validate research findings. It leverages structured research frameworks to cross-check facts, ensuring comprehensive analysis and reducing single-model bias when investigating technologies or products in-depth.

Yes, automated fact-checking research requires the Claude CLI, Codex CLI, and agy CLI. These command-line interfaces enable the multi-AI verification and collaboration phases needed to systematically analyze and cross-validate specified topics.

The best way to start in-depth research is to run the deep-research skill on your specified topic. It initiates a structured, multi-phase process that includes scoping the subject, performing parallel searches, and coordinating AI models for a verified final report.

Yes, you can use this structured analysis approach for investigating any technology, product, or concept. It systematically gathers information from various sources and applies cross-validation to produce a detailed, well-verified report on the specified topic.