SeekBox Canvas Matrix
Compare AI answers side by side
Ask one question across multiple AI models, keep every answer visible, and examine where the models agree, disagree, or rely on different evidence.
One prompt, multiple AI perspectives
Canvas Matrix organizes responses from models such as ChatGPT, Claude, Gemini, Grok, and GPT-OSS in one research workspace. Instead of switching between separate chat applications, you can compare the complete answers and continue from the differences that matter.
Go beyond a directory of links
SeekBox keeps model responses, web evidence, source links, and cross-model analysis together. Agreement can reveal common patterns, while disagreement identifies claims and assumptions worth checking. Neither agreement nor a model verdict is proof of accuracy.
How Canvas Matrix works
- Ask once: enter the question or research task you want several models to address.
- Compare: read the answers side by side and identify shared signals, omissions, and meaningful differences.
- Investigate: use analysis modes and web sources to check claims and develop the strongest answer.
Explore analysis modes · Browse public research · Read the research and source-checking approach
See a complete SeekBox comparison
The current public comparison is temporarily unavailable in this static copy. Open the interactive canvas to browse public research.
Sources
- NIST AI Risk Management Framework — National Institute of Standards and Technology. Accessed 2026-07-20.