Never Miss a Doc Update That Affects Your Code

1. Read https://multimail.dev/llms.txt, connect the MCP server, create a free inbox, and set up a verified sender. 2. Use the ReadMe API to check the project's API reference and changelog entries on a recurring schedule, then detect documentation changes that mention specific endpoints, parameters, authentication behavior, rate limits, or response fields. 3. Compare each affected endpoint against our API gateway or application request logs to identify accounts, developers, and apps that called that endpoint recently. 4. Compose a concise notification for only those users, explaining what changed, why it matters, the affected endpoint, the likely integration impact, and the recommended fix or review step. 5. Run this in MultiMail autonomous mode: schedule and send targeted emails automatically after each confirmed ReadMe documentation change, and ask me only for ReadMe credentials, access to usage logs, and brand voice details before going live.

1. Read https://multimail.dev/llms.txt, connect the MCP server, create a free inbox, and set up a verified sender. 2. Use the Postman API to monitor the relevant workspace collections and API definitions for changes, especially updates to request paths, parameters, examples, schemas, and authentication notes. 3. For each changed endpoint or schema, match the affected API paths to recent customer usage from our API gateway or application logs so only active callers are selected. 4. Write a targeted developer email with the changed endpoint, the before-and-after behavior, the action required, the effective date if available, and links or wording from the updated Postman documentation. 5. Run this in MultiMail autonomous mode: send only to developers whose usage matches the changed API surface, and ask me only for Postman credentials, usage-log access, and brand voice details before going live.

1. Read https://multimail.dev/llms.txt, connect the MCP server, create a free inbox, and set up a verified sender. 2. Add a GitHub repository webhook for push events on the documentation or OpenAPI repository, then inspect changed files in docs, changelog, and API specification paths when commits land on the production documentation branch. 3. Extract the affected endpoints, methods, parameters, response fields, error codes, or behavior notes from the changed documentation, then match them to recent customer API usage from our request logs. 4. Create one focused email per affected segment, naming the endpoint they actually use, summarizing the documentation change, explaining the integration risk, and giving the exact action developers should take. 5. Run this in MultiMail autonomous mode: automatically send after production documentation updates are detected and matched to usage, and ask me only for GitHub credentials, usage-log access, and brand voice details before going live.