The Founder’s Guide: How to Delegate Technical Documentation to an Executive Assistant

For many founders, the internal wiki—whether Notion, Confluence, or a shared drive—is the lifeblood of company operations. Yet, it is often the first thing to fall into disarray. As your engineering team iterates quickly, documentation becomes stale, creating a bottleneck where developers spend more time hunting for context than shipping code. Asking high-level engineers to manage documentation is an expensive use of their time, but ignoring it creates long-term technical debt and onboarding hurdles.

The solution is not to task yourself with constant manual updates. Instead, the most efficient path is learning how to delegate technical documentation to an executive assistant. By pairing an EA with modern AI tools, you can translate complex technical discussions into polished, evergreen documentation without requiring the assistant to write a single line of code themselves.

The Framework for Non-Technical Documentation Management

Documentation maintenance is rarely about the technical content itself; it is about the administrative process of capturing, cleaning, and cataloging information. A skilled EA does not need to understand the nuances of your backend architecture to ensure the documentation is formatted correctly, tagged properly, or cross-referenced across your workspace. The goal is to build a repeatable loop that extracts information directly from your team's existing workflows.

Step 1: Capture the Knowledge Loop

The greatest source of up-to-date information is already occurring in your team meetings, Slack threads, and PR discussions. Your EA can act as the 'librarian' of these interactions. Instead of asking developers to document everything from scratch, instruct your EA to listen for process changes or new architecture decisions during your all-hands or engineering syncs.

• Record team syncs and have your EA run transcripts through an AI summarization tool.
• Set a weekly 'cleanup' window where your EA identifies flagged items in your documentation platform that have not been updated in over 30 days.
• Create a 'Documentation Request' channel in Slack where engineers can tag your EA with a link to an update that needs to be reflected in the wiki.

Step 2: Leveraging AI to Bridge the Technical Gap

You do not need an assistant who knows how to debug your code; you need an assistant who knows how to use AI to digest it. By using Marlow’s platform or other AI tools to assist in processing these inputs, your EA can generate accurate summaries from dense transcripts or lengthy technical threads. Once the AI provides a draft, the EA performs the final layer of 'human verification'—ensuring that the information is placed in the right folder, the links are functional, and the tone matches your company style guide.

Step 3: Establishing the 'Draft-to-Review' Workflow

To keep your engineering team unblocked, the process must be low-friction. When an EA identifies a potential update, they should not interrupt a developer for every detail. Instead, they should prepare a 'nearly-complete' version of the documentation and send it to the relevant engineer with a clear request: 'Please review this summary of our last sprint sync to ensure it accurately reflects the current protocol.'

• Use a standardized template for every documentation page so the EA can easily slot in new information.
• Require the EA to link all source materials—meeting dates, relevant Jira tickets, or Slack thread URLs—at the bottom of the document for future auditing.
• Schedule a monthly review where the EA presents a 'state of the wiki' report, identifying any sections that remain consistently outdated.

Frequently Asked Questions

By shifting the responsibility of documentation management to a dedicated professional, you clear the path for your founders and engineers to focus on high-impact work. As you scale, having a 'single source of truth' that is actively curated by a Marlow assistant ensures your team stays aligned, regardless of how fast you move.