How the research workflow works

A team of AI agents builds one research report.

Think of the workflow like a research meeting. Several specialist agents look at the same company from different angles, then other agents challenge, summarize, and organize the findings into a report.

The simple version

You choose

Ticker, date, model, and debate depth.

Agents research

Each agent studies a different part of the company.

Agents debate

Bull, bear, and risk views challenge each other.

You review

The app saves a structured educational report.

What each analyst contributes

Market analyst

Looks at price and market movement. This is the chart-focused view.

News analyst

Looks for recent company and market news that may explain what is happening.

Social analyst

Looks at public sentiment signals, such as whether the conversation sounds positive, negative, or mixed.

Fundamentals analyst

Looks at business basics like revenue, earnings, margins, and valuation.

How the agents talk to each other

Research agents

Market view
News view
Social view
Fundamental view
Bull case
What could go right?
Bear case
What could go wrong?
Risk review
How much uncertainty is there?

Portfolio manager agent

Combines the arguments into a final research rating and explanation.

Report sections

Executive summary
Final rating
Analyst sections
Bull and bear cases
Risk review
Raw audit trail

What this is not

  • It does not place trades.
  • It does not connect to a brokerage.
  • It does not know your personal finances.
  • It does not tell you what you should buy.

What you should use it for

  • A starting point for learning.
  • A way to compare different research angles.
  • A saved audit trail of what the AI considered.
  • A report to review critically, not blindly follow.