To improve his fashion sense, Wilkinson created an automation that accesses a Google Sheet with photos of his clothes. Each morning, it checks the local weather, assembles complete outfits, generates images of him wearing them, and texts him the recommendations.
Overwhelmed by emails from his kids' school, Andrew Wilkinson created an automation that ingests all school-related messages. The AI identifies crucial information like deadlines for field trips or packed lunch days, adds them to the family calendar, and sends him timely text alerts to prevent missed tasks.
By combining modular prompts for models (gender, age, body type) with image-to-text descriptions of clothing, you can create automated workflows. These systems generate entire photoshoots, including 360-degree views and action shots, solving the problem of photographing seasonal inventory at scale.
Instead of relying on one-off prompts, professionals can now rapidly build a collection of interconnected internal AI applications. This "personal software stack" can manage everything from investments and content creation to data analysis, creating a bespoke productivity system.
Frustrated with existing email tools, Wilkinson used Claude Code to build a web-based email triage system tailored to his exact workflow. This feat, which he compares to the years-long development of Superhuman, highlights the massive acceleration in software development enabled by AI.
Top sales rep Evan Greek uses a GPT model she personally trained to mimic her writing style. By providing feedback on drafts, the AI learns her preferences for tone and structure, allowing her to combine the speed of automation with genuine personalization.
Wilkinson fed his photo into ChatGPT Pro and asked for appearance advice. The AI recommended growing a beard and even gave specific grooming tips, like using tinted gel to cover a blank spot, demonstrating a highly personalized and practical use case for AI.
Create a single command that triggers scripts for your AI to consolidate tasks from various sources (like Trello), generate a daily to-do list in a notes app, and pull in new research. This streamlines your morning routine and provides immediate focus for the day.
An executive created a custom AI agent to handle repetitive tasks like meeting prep, calendar triage, and email. This "chief of staff" provides analysis, suggests delegations, and even offers blunt feedback, demonstrating how AI can be personalized to augment executive functions.
Generic AI tools provide generic results. To make an AI agent truly useful, actively customize it by feeding it your personal information, customer data, and writing style. This training transforms it from a simple tool into a powerful, personalized assistant that understands your specific context and needs.
Stitch Fix uses OpenAI's LLMs not to replace stylists, but to augment them. Their 'Note Assist' tool writes a first draft of personalized notes, handling the repetitive work. This allows stylists to spend more time on high-value tasks like creative styling and building empathetic customer relationships.