How to run Gemma locally with LM Studio: a practical first step
To make local AI real, start with LM Studio — it's free to download. Open the app and search for Gemma 4. If your machine is solid, try the E4B version; if it's older or slower, look for E2B. Either way, grab the quantized GGUF version so the model runs comfortably on your hardware. Once it downloads, open a chat and ask it something simple but business-relevant — for example: 'Read these customer notes and turn them into a one-page memo about what customers are struggling with, what has changed, and what the business should fix this week.' Paste in real or fake customer notes. The point is immediate: the model is now running on your machine, and you're using AI without sending that prompt to a cloud server. Everyone should feel what that is at least once — it unlocks your thinking in a completely new way.
Go deeper with Greg Isenberg
Ask anything about this, and Greg Isenberg answers from everything they've shared.
More to learn
See everything in Learn
The hardest part of using Hyperagent isn't the product — it's picking the right problem
Users consistently report that Hyperagent is intuitive — you can usually just ask the agent to figure something out and it goes and does it, without needing to learn a lot of new configuration or UI. The harder challenge is actually identif
The $999 AI Assessment Playbook: Sell, Run, and Upsell a Productized AI Audit
Product: The $999 AI Assessment Playbook: Sell, Run, and Upsell a Productized AI Audit Format: Digital download: the-999-ai-assessment-playbook-sell-run-and-upsell-a-product.pdf Price: $79.00 USD Description: Learn to land your first pay
Small businesses are deploying AI agents faster than 50,000-person companies ever could
In Hyper Agent's early adoption base, small shops have become surprisingly sophisticated very quickly and are running their operations in genuinely game-changing ways. The reason is simple: a 50,000-person company can't pivot on a dime — th