Word
Briefs, reports, memos.
AI-powered teamwork for knowledge workers
Prismr is a shared workspace where people, project files, and leading AI models work together. Start on your own or invite colleagues. Compare independent approaches, supervise work, and turn the result into an editable file.
Collaboration
Start on your own, then bring in the people and AI members the work needs. In the same project, they can question assumptions, compare evidence, explain their reasoning, and build on one another's ideas.
Many minds
Different AI labs build models with different strengths and ways of approaching a problem. Prismr brings those models into the same project, alongside your team, so you are not limited to one company's answer.
01
Call on one model when you know who you want for the work.
02
Bring people and several AI members into one discussion. They can build on earlier ideas, challenge assumptions, and help the team examine the problem from different angles.
03
Give the same brief to different AI members separately. See where their work agrees and diverges, then bring the strongest thinking together.
Model economics
Combine leading models from around the world to produce stronger work at a better cost. Give each role to the model that fits it best, and build a high-calibre AI team without paying the highest price for every seat.
Better results without paying the highest price for every role.
How Prismr works
Begin with a simple question. When it turns into real work, make it a project, bring in the right people and AI, and end with a file you can review and use.
Ask a question and begin immediately. No project setup or carefully engineered prompt required.
When the conversation becomes real work, turn it into a project. The conversation comes with you, so you do not have to start again.
Invite the people you trust. Add individual AI members or assemble an AI team using models from leading labs.
Add the files, facts, preferences, and instructions that matter. Your human team and AI members work from the same project context.
Let people and AI members challenge assumptions and build on each other's thinking. Compare independent approaches when you want genuinely different answers.
Launch a tracked Job and keep the final say.
Turn the result into Word, Excel, PowerPoint, or Project Files.
Jobs
Launch a tracked Job when the request needs files, research, tools, computation, or several steps. Follow the plan, review the workers and sources, answer questions when a decision is needed, and stop or redirect the work when the direction is wrong.
Real files
Create Word documents, Excel workbooks, PowerPoint decks, and Project Files inside the project that produced them. Review the facts, calculations, citations, and formatting. Edit the files, then use them in the tools your team already works with.
Briefs, reports, memos.
Evidence tables, comparisons, supported charts.
Title, bullet, chart, and image starting points.
Saved outputs and references.
Learning
When people and AI work through a problem in the same project, everyone can see the thinking behind the result. They also see how their colleagues use AI: how they ask, what they check, and when they hand off a whole task. Most people only use AI for quick questions. Working alongside others shows them what it can really do, and the team gets better at it while the work moves forward.
Independence
Build your agents and workflows around the models you prefer. If a model becomes unavailable, too expensive, or no longer the best choice, assign another without rebuilding the project around a different provider. Your project, files, context, and workflow remain in place.
01
Connect models from different providers, use compatible local models, and set alternatives for important work. No single AI company controls how your entire team works.
02
Store project files on your machine, your server, or the storage service your team already uses. Your project does not need to be rebuilt around one model provider.
Put your people, project files, and AI members from leading labs into one project. Compare different approaches, supervise work, and turn the result into files you can use.