Mastering Claude Co-work: Solar Savings, Silver Markets & Synthetic Data

In this session we dive deep into the practical application of Agentic AI, showcasing the newly released Claude Co-work. Tim demonstrates how knowledge workers can move beyond basic text generation to solve complex data problems, model financial investments, and create business prototypes in minutes.

Key data projects worked on.

Solar & EV Investment Model: Using real household energy data (PowerPal) to model a $3,600 solar investment. The AI built a dashboard showing how integrating an EV and smart charging (Charge HQ) could result in over $30,000 in savings over 5 years.

Silver Market Risk Analysis: A live experiment analyzing the spread between paper silver and physical industrial demand. The AI generated a risk report highlighting a massive deficit due to solar panel manufacturing and potential systemic risks to US banks (specifically JP Morgan).

Synthetic Data for Business: How to generate realistic "fake" datasets (e.g., shopping center incident reports) to build functional prototypes and dashboards to pitch ideas to management without waiting for IT access.

Also Discussed:

The transition from "employee" to "creator" using AI.

The future of infrastructure: Data centers in space and Starship.

AI in Agriculture: managing crop yields and using drones to map pine tree encroachment.

🛠️ Tools & Concepts Mentioned

Claude Co-work: Anthropic's new UI for coding and data agents.

PowerPal: Real-time home energy monitoring.

Charge HQ: Smart EV charging software.

Perplexity: Deep research and financial data analysis.

Gemini: Visualizing home renovations.

🚀 Next Steps

Experiment with creating a "Synthetic Dataset" for a problem in your own industry to pitch a solution.

If you are a knowledge worker, consider testing Claude Max for complex data tasks.

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