Set the working context
Choose the business, project goal, relevant knowledge, and the people responsible for reviewing the result.
Multi-model AI
Use the model that fits the work, inside one operating workspace.
Choose among nearly 100 configured chat, image, and video model options without moving the business context, project, or finished deliverable into a separate tool.
No code · review gates · work organized by business
druidx — multi-model-ai
druidx run multi-model-ai. loading business context. per-agent-model-choice, assign an available language model according to the specialist's role. free-and-paid-access, use eligible free models on free and broader paid usage according to the billing and credit system. text-and-reasoning, support research, planning, analysis, drafting, and structured project work. media-models, use image and video generation when the selected plan includes those capabilities. voice-capability, use voice agents when the enterprise entitlement is active. 5 steps complete · output saved to Library.
review gates on, outputs keptSee plans →
Treat model choice as one part of the workflow instead of the product itself.
Different tasks benefit from different cost, speed, reasoning, context, or media capabilities. DruidX lets a team configure models within agents and workflows while keeping execution and outputs organized around the business goal.
Everything the run needs, built in.
6 capabilitiesPer-agent model choice
Assign an available language model according to the specialist's role.
Free and paid access
Use eligible free models on Free and broader paid usage according to the billing and credit system.
Text and reasoning
Support research, planning, analysis, drafting, and structured project work.
Media models
Use image and video generation when the selected plan includes those capabilities.
Voice capability
Use voice agents when the Enterprise entitlement is active.
Usage-aware credits
Different model operations consume credits according to the configured pricing catalog.
From business context to finished work.
The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.
Configure the capability
Select the appropriate agents, models, tools, connectors, and boundaries for the work.
Run, review, and retain
Inspect progress and outputs, answer questions or approvals, and keep the useful result in the workspace.
What you walk away with.
Useful outputs your team can open, share, and build on — not another stream of chat.
- Model choice aligned to the job.
- One workspace across multiple model providers.
- Clearer plan and credit boundaries.
- Text, research, media, and voice capabilities in connected workflows.
- Deliverables retained independently of the model used.
Where teams point it first.
Focused project work
Apply the capability to a concrete business outcome with visible context and a defined deliverable.
Reusable team workflow
Configure the approach once, then bring it into future projects without rebuilding every instruction.
Governed automation
Use the capability inside a larger workflow with explicit logic, timing, and human review where required.
Your next move
Give your next business goal a place to get done.
Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.