Description
Razn is a tool designed to assist users in solving complex and ambiguous problems by transforming them into structured issue trees and providing clear recommendations. It operates by leveraging AI models that users connect themselves, such as Claude, GPT, and others, allowing for a customizable approach to problem-solving. The process is broken down into five steps: request, problem definition, structure, solve, and answer. After each step, the AI agent pauses for user approval, ensuring that the user remains in control of the decision-making process.
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Razn is particularly useful for founders, operators, investors, and managers who need to make defensible decisions on matters such as pricing, market expansion, and investment priorities. The tool supports various AI models, allowing users to select different models for different roles, such as research or quantitative analysis. This flexibility ensures that each aspect of the problem is addressed with the most suitable AI capability.
The platform supports exporting deliverables to common formats like PowerPoint, PDF, and Word, making it easy to share findings and recommendations with stakeholders. Razn also features a universal Mac app, providing additional functionalities like quick-capture shortcuts and step notifications. On Windows and Linux, it operates seamlessly in the browser.
Razn is currently free during its beta phase, with all features unlocked and no credit card required. Users must connect their own AI model access, which is billed by the provider. The tool is designed to keep user data secure, with workspace content only shared with the chosen model provider under the user's plan or key.
- CategoryAI Research Assistants
- Pricing ModelFree during beta
- DeploymentCloud
- PlatformsMac, Windows, Linux
Razn's Core Features
Issue tree creation
AI model integration
User approval at each step
Export to PowerPoint, PDF, Word
Universal Mac app
Browser-based on Windows/Linux
Customizable AI model per role
Research mode with citations
How to use Razn?
Configure: Connect your AI model access
Define: Describe the problem and attach context
Structure: Create and edit a MECE issue tree
Solve: Analyze and synthesize findings
Answer: Export recommendations to deliverables
Razn's Use Cases
- Pricing Decisions
- Market Expansion
- Investment Screening
- Cost-Cutting Priorities
- Board Memos
