Stress-test the decisionbefore you make it.
Upload the briefing. Ask the question. Prophet maps the stakeholders into a knowledge graph, drops them into a live simulation, and returns a probability forecast with the arguments for and against, all traceable to your sources.
Scenario preview
Will energy prices spike if subsidy rules shift in Q3?
Forecast report
Regulatory shock triggers a 2-week pricing uncertainty window before markets stabilize around new contract terms.
3 sections · 0 entities · 0 relationships
Simulation debate
Energy Policy Analyst posted
Contrarian Analyst disagreed
Market Forecaster commented
How it works
Source material in, inspectable forecast out.
Three steps. Full reasoning chain intact.
Step 1
Upload the source material.
Reports, notes, transcripts, research. Prophet turns them into a knowledge graph, not a summary.
Step 2
Simulate the stakeholder conflict.
AI personas argue, align, and push back in a live simulation. Contrarian agents stress-test the consensus.
Step 3
Interrogate the forecast.
Read the brief, explore the graph, then challenge it in chat. The reasoning trail stays intact.
Run your first scenario
You get the forecast. You also get the fight that produced it.
Upload the source packet, ask the question, and get a forecast your team can actually challenge.
Example questions
What breaks first if the regulation lands two quarters early?
Which narrative wins if public sentiment swings before supply normalizes?
How does the forecast change if the loudest consensus is wrong?