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Create a Meta-Workflow to Continuously Improve Your AI Assistant's Performance

Design a weekly meta-workflow that analyzes your interactions with your AI assistant to make it smarter. This system learns your writing style from edits, suggests new automations for repetitive tasks, and helps you filter valuable AI techniques from hype.

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Create a Meta-Workflow to Continuously Improve Your AI Assistant's Performance
Source episodeClaude Cowork for PMs: My Self-Improving Productivity System

with Claire Vo

Read the full episode

Before you start

Tools used

The workflow

Follow the sequence once, then adapt the prompts, checks, and handoffs to your own setup.

5 steps

Step 01

Schedule a Weekly 'Self-Improvement' Task

In your AI agent platform, create a recurring weekly task that is designed to review and improve the entire AI system based on the previous week's interactions.

Step 02

Learn from Your Edits

Configure the task to find instances where you edited AI-generated text. The system should compare the initial draft with your final version to learn your voice, tone, and common phrasing.

Step 03

Suggest New Skills from Repetitive Tasks

The system monitors your activity for repeated sequences of actions. When it detects a pattern, it should suggest turning that sequence into a new, reusable skill to save you time.

Step 04

Log and Address Friction Points

Build a simple feedback mechanism to log moments of 'friction,' such as when a workflow is clunky or you have to correct the AI. The weekly loop surfaces these logs and suggests fixes to the underlying skills.

Step 05

Create an AI Hype Filter

Build an 'Improve' skill where you can forward AI-related articles or tips. The system will analyze the new idea, compare it to your existing workflows, and give a critical recommendation on whether it's worth implementing or just 'LinkedIn hype.'

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