Research-Backed Template

EA & RationalistWriting Assistant

Get AI-powered writing feedback from 5 specialized reviewers trained on LessWrong research. Each reviewer uses metrics that correlate with post karma to help you write better content.

Built on Rigorous Research

This template is based on comprehensive analysis of the LessWrong forum, identifying metrics that correlate with post karma and epistemic virtue.

Key Research Findings

Significant Karma Correlation

Our metrics show significant correlation with post karma on LessWrong

Epistemic Virtue Tracking

Metrics focused on epistemic virtues cluster together and correlate with author expertise

Validated Rubrics

Each AI reviewer uses validated rubrics that track different dimensions of quality

Research Correlation Chart

Five Specialized AI Reviewers

Each reviewer focuses on a specific dimension of writing quality, trained on metrics that correlate with successful EA and rationalist content.

Cooperativeness

Cooperativeness

Evaluates your post's ability to improve the epistemic situation of readers and foster collaborative discourse.

Empirical Evidence

Empirical Evidence

Focuses on the quality and strength of empirical evidence presented in your writing.

Precision

Precision

Evaluates the precision and clarity of your arguments and claims for maximum reader comprehension.

Reasoning Quality

Reasoning Quality

Assesses logical soundness, sufficiency, efficiency, structure, and rigor of your reasoning.

Value

Value

Evaluates the overall value and impact of your post on readers and the broader discourse.

What is Winnow?

Winnow is an AI-powered writing feedback platform that provides iterative, collaborative review of your content. Unlike generic AI assistants, Winnow uses custom, editable AI reviewers that you can tailor to your specific needs.

  • Iterative feedback process that improves with each revision
  • Customizable AI reviewers that you can edit and personalize
  • Research-backed templates for specific writing communities
Winnow Platform Overview

Research & Development Team

This template was developed through collaborative research and is supported by the AI for Human Reasoning Fellowship.

Alejandro Botas

Research & Analysis

Led the comprehensive research analysis of LessWrong posts and metric correlation studies.

Matt Brooks

Connectivity & Planning

Orchestrated the research methodology and cross-post analysis for broader sense-making.

Rob Gordon

Development & Integration

Built the technical infrastructure and integrated research findings into the Winnow platform.

Supported by

AI for Human Reasoning Fellowship

Future of Life Institute

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Paste your draft below and get feedback from all 5 specialized AI reviewers. See how your writing measures up on the metrics that correlate with successful posts.

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