Promptless uses AI to automatically identify and draft updates for technical documentation, including API references, SDK guides, and knowledge bases, based on product changes. The platform integrates with development tools like Jira and Slack to gather context from pull requests and support tickets. This automation ensures documentation remains current with product evolution, reducing manual effort and implementation times for engineering and support teams.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Maintaining accurate and up-to-date technical documentation, including API references, tutorials, and knowledge bases, is a time-consuming and challenging task for software development teams. Incomplete or outdated documentation leads to increased support requests, longer implementation times, and reduced developer productivity.
Solution
Promptless provides AI-powered agents that automate the process of updating customer-facing technical documentation. By integrating with existing development tools and platforms such as version control systems, issue trackers, and communication channels, Promptless identifies relevant changes and automatically drafts updates to documentation. The platform uses AI to find context across tools like Jira, Confluence, Linear, and Slack, and notifies users when documentation changes are ready for review in their existing CMS or doc hosting platform. This ensures that documentation remains accurate and consistent with the latest software releases, reducing support overhead and improving developer experience.
Target Audience
The primary target audience includes software development teams, SaaS companies, and enterprises that need to maintain accurate and up-to-date technical documentation for their APIs, SDKs, and products.
Features
- Automated documentation updates triggered by pull requests, support tickets, or tagged threads.
- Integration with version control systems (e.g., Git), issue trackers (e.g., Jira, Linear), and communication platforms (e.g., Slack).
- AI-powered context gathering across multiple tools to identify relevant changes.
- Automatic drafting of documentation updates for API references, tutorials, and knowledge bases.
- Notifications for documentation changes within existing CMS or doc hosting platforms.