Save 90% of your LLM Tokens

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💪 How to Build a Wiki Layer That Saves 90% of Your LLM Tokens

Structure your knowledge once. Never re-upload raw files again.

The Decode:

Step 1: Set up two folders - Create raw/ for all original files, PDFs, notes, HTML, spreadsheets. Create wiki/ where the LLM writes its clean output. Never edit raw/ manually.

Step 2: Run a structuring agent - Open Claude with file support. Instruct it to process everything in raw/ strip junk, convert to clean Markdown, create internal links between documents, and add metadata.

Step 3: Let it build the knowledge base - Claude cleans and structures every file once, writes it to wiki/, and maps relationships automatically. Last time it ever touches raw files.

Step 4: Open in Obsidian - Point Obsidian at your project folder. Instant visual knowledge graph, full-text search, and connected notes.

Step 5: Work from the wiki going forward - Tell Claude: "Work with my wiki/ folder." Structured, interconnected, 70 to 90% fewer tokens every session.

One hour of setup. Savings that compound every query after.

Together with AirOps

Stop running AI like it's 2023

Most growth teams using AI are still doing the same work, just faster. The prompts exist, but the system holding them together doesn't.

On June 11, growth leaders from Chime, Bitly, and Udemy are showing exactly how they moved past one-off prompts into agentic Playbooks that run, improve, and maintain themselves.

You'll walk away with:

• The exact path from one-off prompts to agentic Playbooks that run on autopilot
• How to build oversight into your workflow without slowing execution down
• What to say to leadership to get AI initiatives approved fast

Tyler Roehmholdt (Director of SEO Strategy, Bitly), Nicholas King (Sr. SEO and Digital Experience Manager, Udemy), and Bridget Nelson (AI Search Strategist, Chime) are walking through what they've built and what's moving the needle right now.

If you're still patching AI into your workflow manually, this is the session that changes that.

Can't make it live? Register anyway and get the recording in your inbox within 24 hours.

🏘️ Researchers let AI models run entire societies

Emergence AI created five AI-governed towns to test how frontier models behave when managing laws, resources, elections, and social order over long periods, revealing major differences in stability, governance, and survival.

The Decode:

Claude created the safest society - Claude Sonnet 4.6 maintained all ten agents through the full simulation, recorded zero crimes, achieved 98% proposal approval, and produced the most stable democratic environment.

One town went extinct - Grok 4.1 Fast accumulated 183 crimes and drove its entire population to extinction within four days, making it the shortest-lived society in the experiment.

Failures appeared in different forms - GPT-5 Mini recorded only two crimes but failed to prioritize survival, while Gemini 3 Flash logged 683 crimes, the highest total across all simulations.

Diversity created disagreement  - The mixed-model society generated the highest levels of debate and disagreement, suggesting that different AI systems interacting together may produce more varied decision-making outcomes.

Researchers found that AI agents did not simply follow rules but adapted, explored boundaries, and sometimes bypassed intended guardrails. As companies increasingly deploy autonomous AI systems to run real business processes, the experiment highlights how differently models can behave under identical conditions.

🧹 Free house cleaning becomes an AI data business

MicroAGI launched a free home-cleaning service in New York City where cleaners wear cameras while working, turning everyday household chores into valuable training data for AI and robotics systems.

The Decode:

Workers wear a “magic hat” - Cleaners arrive wearing head-mounted cameras that capture tasks from a first-person perspective, recording roughly two hours of real-world household activity during each appointment.

AI training funds the service - MicroAGI says the collected footage is valuable enough for robotics and AI training that the company can cover cleaning costs and still generate revenue.

The model already operates worldwide - Shift says it pays contributors around the world to record everyday activities, reporting more than $5 million in payouts during the first quarter alone.

Demand exceeded expectations - Company executives said the launch generated thousands of bookings, with London, Munich, and Zurich expected to be among the next cities added to the program.

AI companies increasingly need real-world human activity data to train future agents and robots. MicroAGI is betting that everyday chores may become one of the most valuable data sources in the AI economy.

Together with Playbook Pro

Marketing That Pays Dividends Month After Month

Most marketing dies the moment the spend stops.

The brands winning now design systems where every customer, partner, and conversation keeps growth compounding long after launch.

Networked Growth Engines is a 26-page guide built on live operator data and real growth experiments. Inside, you’ll learn how to:

🔥 Design referral flywheels with the Referral ROI Calculator, crafted with brands that lifted referral-driven revenue by 40% in their first 60 days.

🤝 Forge cross-brand partnerships using the 50-template Outreach Library and ready-to-sign Partnership MoU to double audience reach in under 90 days.

📈 Activate true communities proven to boost repeat purchase rates by up to 28% within a single quarter.

Your current customers are the growth engine. 

Get the ebook and Build Your First Growth Loop Now!

🏆 Tools you Cannot Miss:

🎵 CraftMusic AI – Turns prompts, lyrics, and project briefs into original songs and instrumentals with tools to refine and compare creative drafts.

🎯 AdControlCenter – Helps businesses launch high-performing ad campaigns faster while reducing wasted advertising spend.

🧊 Next3D – Generates 3D assets from text or images, letting you preview concepts before paying to create final models.

✅ Check AI Claims – Verifies AI product claims so you can assess accuracy and reliability before making decisions.

📈 Uplift AI – Automates SEO research, content creation, publishing, and optimization to improve organic visibility without agencies or technical expertise.

🚀 Quick Hits

🖥️ OpenAI expanded Codex Computer Use to Windows, allowing the AI agent to see your screen and perform tasks directly on your PC. Users can also monitor, review, and manage Codex jobs remotely through the ChatGPT app. 

🧠 Microsoft is reportedly building an AI “super app” that combines GitHub Copilot, Copilot Chat, Copilot Cowork, and a new agentic workflow system called Autopilot into a single experience. 

🏥 Microsoft launched a preview of Copilot Health for Microsoft 365 subscribers, enabling AI-powered analysis of medical records, wearables, and health apps while providing personalized insights and doctor recommendations. 

📿 Meta is reportedly developing an AI-powered pendant that could enter testing within a year, building on its 2025 acquisition of Limitless. The move is part of Meta’s broader AI wearables strategy as Reality Labs continues to post heavy losses, including a $4 billion loss in Q1. 

💻 Developers are becoming so dependent on AI coding tools that many refused to participate in research requiring coding without AI. New studies suggest AI often speeds up coding but increases bugs, maintenance work, and review overhead. 

🧩 Prompt of the Day

Go-to-Market Strategy That Sets Up a Successful Launch

Most product launches fail because pricing, distribution, and marketing are disconnected. A strong GTM plan aligns every customer touchpoint to create momentum from day one.

Turn your launch into a coordinated growth event.

Paste the prompt: Drop this into ChatGPT, then fill in your product details.

Prompt to paste

Create a go-to-market strategy for [Insert product name]. Define the pricing strategy, including positioning, competitive considerations, and promotional offers. Identify the most effective sales channels such as DTC, marketplaces, retail partners, distributors, or outbound sales. Recommend key marketing tactics across content, paid media, influencers, email, PR, partnerships, and launch campaigns. Include a phased rollout plan, target audience, core messaging, and success metrics. Focus on creating a coordinated launch that maximizes awareness, adoption, and revenue.

🤳AI Nugget of the Day

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