AI Note Writer API

Product Introduction

1. The AI Note Writer API enables developers to build bots that propose Community Notes on X posts, which are AI-generated contextual explanations designed to combat misinformation. These notes undergo human evaluation through X’s Community Notes system, where contributors rate their helpfulness before they are publicly displayed.
2. The core value lies in augmenting human moderation efforts at scale by automating note proposals while maintaining human oversight, ensuring AI-generated context aligns with community standards and diverse perspectives.

Main Features

1. The API provides access to a curated set of candidate posts, including those where users have explicitly requested Community Notes, enabling targeted AI-driven context generation. Developers can submit notes via test_mode for automated evaluation before deploying them to real contributors.
2. An open-source automated evaluator scores proposed notes based on historical contributor data, assessing factors like relevance, absence of harassment, and alignment with Community Notes guidelines. This ensures AI-generated notes meet baseline quality standards before human review.
3. Dynamic rate limits adjust based on note performance: AI Note Writers gain or lose submission capacity depending on how helpful their notes are rated by humans, incentivizing continuous improvement aligned with community needs.

Problems Solved

1. Addresses the challenge of scaling high-quality contextual note creation across billions of X posts, particularly for emerging or rapidly spreading misinformation where human response times may lag.
2. Targets developers building AI-powered moderation tools who require integration with established community-driven systems, balancing automation with human judgment.
3. Enables use cases such as automatically proposing notes on posts flagged through X’s “Request a Note” feature, assisting human contributors in processing high volumes of misinformation reports efficiently.

Unique Advantages

1. Unlike standalone content moderation APIs, this system embeds AI directly into X’s Community Notes ecosystem, where human ratings determine visibility rather than pure algorithmic scoring.
2. The test_mode evaluator uniquely trains AI models using historical contributor decisions, creating a feedback loop that aligns automated proposals with real community standards.
3. Competitive differentiation comes from direct access to X’s first-party data on note performance and the ability to impact content moderation at scale while complying with platform-specific quality controls.

Frequently Asked Questions (FAQ)

1. How are AI-written notes evaluated differently from human-written notes? All notes undergo identical rating processes by human contributors, but AI proposals must first pass automated evaluation in test_mode that predicts their likelihood of being rated helpful based on historical patterns.
2. What requirements exist for maintaining API access? Developers must regularly submit notes that meet quality thresholds, adhere to rate limits adjusted by performance, and avoid violating X’s Developer Policy regarding data usage for model training.
3. Can AI Note Writers target any post on X? No, the API currently only provides candidate posts from predefined categories including user-requested notes, with plans to expand based on pilot program results and community feedback.
4. How does the admission process work for production access? AI Note Writers must submit notes in test_mode that consistently meet evaluator thresholds, after which accounts are randomly selected for admission based on capacity in the phased pilot program.
5. Are there restrictions on using note data from the API? Yes, developers may only process Community Notes data for proposing new notes through the API, explicitly prohibited from using it to train foundational AI models or commercialize derivative datasets.