Hitting Claude Code Limits? Here Are 18 Easy Fixes.

In This Issue

• 18 ways to stretch your Claude Code session so you stop hitting the wall at message 15
• Four students in Uganda turned a 16-week AI training into a fully operational business unit
• Google's Gemma 4 lets you run AI automations directly on your computer (no API costs, no cloud)

New Video:

Hitting Claude Code Limits? Here Are 18 Easy Fixes.

Every message in Claude Code rereads your entire conversation history. That means message 30 costs 31 times more tokens than message 1. This video breaks down 18 token management hacks (organized into three tiers) that will make your sessions last dramatically longer.

The mistake most people make: They assume hitting the usage limit means they need a bigger plan. In reality, most people are burning 98% of their tokens just rereading old chat history. It's not a limits problem. It's a context hygiene problem.

How this helps you: You'll learn exactly when to clear sessions, when to compact, and how to route tasks to cheaper models. The result is 2-5x more productive work from the same plan you already pay for.

Winning Is All We Do

From students to co-founders of an AI business unit in Uganda

What happened: Frank van Bokhorst launched Plexaris Uganda, a fully operational business unit built on AI, automation, and digital business development. What started as a 16-week intensive training program turned into something bigger. Four talented individuals graduated from students to co-business owners, building platforms tailored to the Ugandan market.

The opportunity for you: AI skills are not limited by geography. Frank proved that a structured training program can produce real business owners (not just freelancers) in any market. If you can teach and build with AI, you can create entire teams around you.

This is one of many success stories from AI Automation Society Plus. If you're not a member, you're missing out.

In the News

Google just released Gemma 4 — and it runs AI automations directly on your computer

The news: Google released Gemma 4, a family of open-source AI models that can run entirely on your local machine. The smallest versions need just 5GB of RAM. Unlike cloud-based AI, Gemma 4 is designed for agentic workflows: it can reason through multi-step tasks, call tools autonomously, and execute complex automations without ever sending your data to an external server. It's released under Apache 2.0, meaning you can use it for anything — commercial projects included.

How it affects automation: This is a big deal for anyone building AI automations. Right now, every agent you run burns API credits. Gemma 4 lets you move repeatable, well-defined workflows off the cloud and onto your own hardware — no per-token costs, no rate limits, no data leaving your machine. It won't replace Claude or GPT for complex reasoning, but for structured automations that follow a clear playbook? Running locally just became a real option.