Y Combinator · How to Give AI Agents Enough Context to Be Useful

1. 1. AI agents often produce poor quality output because they lack sufficient context to understand the task deeply, similar to new human employees.
2. 2. Effective context for AI agents includes all company data, such as emails, Slack messages, Notion documentation, customer call recordings, and database access.
3. 3. Remote companies possess an inherent advantage in providing context to AI agents because most communication is digitally recorded and saved.
4. 4. To fully leverage AI agents, companies must proactively restructure their operations to ensure all information is recorded and accessible to the agents.
5. 5. Skyvern utilizes AI agents to draft Product Requirements Documents (PRDs) by aggregating information from diverse internal and customer data sources.
6. 6. AI-generated PRDs proved effective by directly linking to specific customer recordings, enabling the development team to solve a CAPTCHA solver issue.
7. 7. AI agents automate content marketing by generating daily post ideas from customer conversations and drafting social media content for various platforms.
8. 8. This automated content creation enabled Skyvern to publish five times a week, leading to unexpected inbound leads from highly specific, AI-generated posts.