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- 🥋 Feeling Lost in the AI Tool Avalanche?
🥋 Feeling Lost in the AI Tool Avalanche?
Navigate the four layers of AI development
Cash Helman
June 15, 2025 • Estimated Reading Time: 4 minutes
Hello grasshoppers🦗,
Welcome back to Prompt Dojo. We'll explore the four-layer structure that organizes all AI development, learn chain-of-thought prompting for better reasoning, and discover practical GenAI tools you can use today. Ready to level up? Let's begin!
Power Prompt
Chain-of-Thought for Complex Problem Solving
Purpose: Get AI to think step-by-step through complex problems, dramatically improving accuracy and reasoning quality.
Think through this step-by-step:
Problem: [Your complex question or task]
Please:
1. Break down the problem into smaller components
2. Work through each component logically
3. Show your reasoning at each step
4. Arrive at a well-reasoned conclusion
5. Identify any assumptions you're making
Take your time to think through this carefully.Best models: Claude Sonnet 4, ChatGPT o1, Gemini 2.5 Pro
Pro tip: Add "Explain why each step follows from the previous one" to catch logical gaps in reasoning.
Try this prompt and reply with your results!
Fresh off the Mat News
Meta Invests $14.3 Billion in Scale AI - Meta will take a 49% stake for $14.3 billion and brings Scale AI's 28-year-old CEO Alexandr Wang into a new "superintelligence" lab.
Google Rolls Out AI Mode in Search - AI Mode is our most powerful AI search, with more advanced reasoning and multimodality. The feature is now available to all US users without Labs signup required.
Samsung Partners with Perplexity for Galaxy S26 - Samsung is reportedly finalizing a major deal to preinstall the Perplexity AI app on all Galaxy S26 models, marking a significant AI push in consumer devices.
Impact:These developments show AI moving from experimental tools to infrastructure investments. This partnership signals how AI assistants are becoming standard smartphone features. Companies are betting billions that sophisticated AI reasoning and search capabilities will become as essential as cameras or internet connectivity.
Training Ground
In this week’s foundation form (still playing around with the names), we're exploring the current AI landscape with context. With all of the current advances in AI, it can feel like you're falling behind. However, looking at the AI landscape chart helps understand the many levels of AI development. I found this graphic from gtmstrategist and it really helped put things into perspective for me.
Source:gtmstrategist.com
What You Need to Know: The AI landscape operates in four distinct layers: Computing Layer (infrastructure like NVIDIA, AWS), Foundational Layer (base models like OpenAI, Anthropic), Operational Layer (platforms that fine-tune and deploy models), and Application Layer (end-user tools). Most competition and innovation happens at the Application Layer, where 90%+ of GenAI tools exist.
How to Apply It: Focus your attention on the Application Layer tools that solve your specific problems. Don't worry about keeping up with every foundation model update. Concentrate on learning prompting techniques that work across multiple models. New When evaluating new tools, ask: "Which layer does this operate on?" and "Does this actually solve a problem I have?" This framework prevents tool-chasing and helps you build sustainable AI skills.
Takeaway: Understanding the current AI landscape's structure helps you focus on what matters and avoid the overwhelm of trying to track every new development.
Taiki’s Toolkit
Gamma - AI presentation maker that creates customizable slide decks from short text prompts or restyling existing content. 60 million presentations generated to date and ideal for quick pitch decks.
Fathom - AI-powered meeting assistant that automatically transcribes and summarizes calls, working with Zoom, Microsoft Teams, and Google Meet for effortless note-taking.
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