⚡ Grammarly is rebranding to Superhuman and launching an AI assistant that connects Jira, Gmail, and Google Drive. The tool that spent 15 years fixing your commas now thinks it can replace Notion, ClickUp, and Google Workspace. We’ll see.

The single biggest mistake people make with AI isn't the tool they choose — it's trying to do everything at once.

Multi-step AI processes are dramatically underrated. Instead of asking AI to "create a complete marketing campaign," break it into discrete steps: strategy, copywriting, design, optimization. The quality difference is staggering.

AI models have limited "working memory." When you stuff too many requirements into one prompt, the model juggles competing priorities and delivers mediocre everything instead of excellent anything.

A real example:

Let's say you want to create a comic strip using an AI tool like Nano Banana. Most people try: "Create a 6-panel comic about a confused robot learning to make coffee."

The results? Inconsistent art styles, unclear storytelling, and panels that don't connect visually.

The multi-step approach:

Step 1: Ask ChatGPT to create a detailed storyboard with descriptions for each panel: "Panel 1: Robot stares confused at coffee maker. Panel 2: Robot opens manual upside down…" etc.

Step 2: Generate each panel individually using the descriptions. This ensures consistency in art style and clear visual storytelling.

Step 3: Use Nano Banana or another editing tool to composite the panels together, adjusting spacing and adding speech bubbles.

Professional-quality output that actually tells a coherent story will be the result.

Think of it like an assembly line. Each step specializes in one thing, and the output of each becomes the input for the next.

This approach also creates checkpoints. If panel 4 looks wrong, you don't regenerate everything — just that step.

Developers have known this for years (it's called separation of concerns), but marketers and creatives are just catching on.

Platforms like Zapier and n8n are adding AI-specific nodes that make multi-step pipelines visual and manageable. You can literally see your process as a flowchart.

Some teams are building "prompt chains" — pre-configured sequences where output from one AI automatically feeds the next. This is becoming the new standard for production work.

The downside is complexity. More steps mean more places things can break. But the quality improvement — often 3-5x better than single-shot prompts — is worth the overhead.

What's next: AI platforms are starting to auto-suggest multi-step breakdowns. You provide a goal, and the AI designs the pipeline for you. Meta's Llama 4 is reportedly testing this feature.

BTW: The concept of "chain of thought prompting" (breaking reasoning into steps) improved AI accuracy by 40%+ in academic benchmarks. Multi-step processes are the production version of that research.

There is no better time to learn how to use AI to build solutions businesses want. I’m hosting a workshop that will show you, step-by-step, how to build tools and solutions using AI without having to know how to code.

If you’re interested, reply back to this email with the keyword BUILD and we’ll send you more info.

The Recap: Anthropic unveiled Claude Sonnet 4.5, a new model it claims is the world's best for coding, computer use, and agentic tasks. The release is paired with a major suite of upgrades across its developer platform and products.

Unpacked:

Bottom line: This launch directly challenges competitors by focusing on practical, high-stakes domains like software engineering and agentic workflows. Empowering developers with the Agent SDK signals a strategic shift from just model performance to enabling a new class of powerful, custom AI applications.

Senators propose blanket ban on AI chatbots for under-18s with mandatory age verification, reshaping how platforms can operate.

OpenAI sued by Cameo over Sora's 'cameo' feature for celebrity deepfakes, exposing trademark vulnerabilities in AI product naming.

EuroLLM launches as first EU-native large language model supporting all 24 official languages, challenging US AI dominance.

Elon Musk launches Grokipedia as 'unbiased' Wikipedia alternative, immediately faces criticism for bias and misinformation.

Bill Gates shifts climate messaging to 'progress and optimism,' potentially signaling strategic pivot as AI energy demands grow.

YouTube removes videos teaching non-standard Windows 11 installations, demonstrating Microsoft's growing content moderation influence.

P.S. Reply back to this email and let us know what area of AI you are struggling with the most. We are going to be hosting some free trainings and want your input.

Best of AI™ Team

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