Product capability
Chat Modes for Flexible AI Work
Chat Modes goes beyond linear chat: compare multiple AI models or design agentic chat workflows where models take different roles.
Chat Modes brings flexible AI work into one place, from comparing model outputs side by side to guiding complex tasks through visible agentic steps.
Multi-model mode
Compare model outputs without rebuilding the same context
Different models can be useful for different parts of a task. Multi Model Chat keeps the work in one place so users can ask once, compare the results, and decide which response is strongest for the job at hand.
- Ask once with shared context
- Compare multiple model outputs
- Select the strongest response
Agentic mode
Guide complex work through reviewable steps
Longer research or analysis tasks can drift if the process stays hidden. Agentic mode gives the work a visible structure: task framing, plan, intermediate findings, gaps, and final synthesis.
- Frame the task and plan
- Review intermediate findings
- Keep gaps visible before synthesis
Human control
Keep the user in charge of direction and quality
Multi-model and agentic modes keep review points visible so users can redirect a task, compare alternatives, reject weak assumptions, or ask for deeper analysis before the final output is shaped.
- Redirect work at review points
- Reject weak assumptions
- Request deeper analysis