Hi! Welcome to the 21st edition of the TomorrowToday newsletter.

We’re here to decode the AI chaos so you don't have to. Think of us as your friendly neighbourhood tech translators - we cut through the chaos, translate the jargon, and spotlight new AI tools that matter for founders, builders, and curious minds.

Buckle up, because the future's moving fast and we're here to make sure you don't get left behind! ⚡

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/Gemini /Automation /Workplace

Google just quietly dropped something genuinely useful at Google Next 2025: Workspace Flows. Imagine Zapier or Make, but built right into your Google ecosystem—and it actually understands context like Gemini does.

Here's the magic: no code needed. You chat with an AI agent (think natural language prompts), and it builds multi-step workflows connecting Gmail, Docs, Sheets, Calendar, Chat, and Forms. Gemini does the heavy lifting—analyzing content, prioritizing tasks, even drafting responses.

The real difference? Google's AI contextualises everything. It's not just triggering actions; it's reasoning through them. Plus, it's all contained securely within your Workspace domain—no third-party servers involved.

Currently in the Gemini Alpha program only, but watch this space. The possibilities range from auto-routing customer feedback to Slack, to extracting action items from emails, to welcoming new team members automatically.

/ChatGPT /Safety /Policy

OpenAI just dropped a reality bomb: ChatGPT will no longer give specific medical, legal, or financial advice. As of late October 2025, the bot has been officially downgraded from "consultant" to "educational tool."

Why? Liability. Regulations. Lawsuits. Pick your reason—they're all valid.

The old reality: ChatGPT was brilliant at confident confabulation. Ask about a rash? It'd panic and suggest cancer. Ask for a will template? Here's a legally worthless document. Ask for investment tips? Watch it hallucinate stock picks.

The new reality: ChatGPT will explain principles—what an ETF is, how medications work, what contract clauses mean—but it'll firmly tell you to talk to an actual professional.

This isn't just ChatGPT being cautious. It's Big Tech admitting that LLMs, no matter how smart, can't replace domain experts. Or is it perhaps a ploy to push more traffic towards domain expert AI start-ups like Legora or Harvey? It is no secret that OpenAI is invested in Harvey and other domain-specific start-ups.

/Coding /Development /Agents

Cursor just released version 2.0 with Composer, their new frontier coding model. And it's fast—4x faster than similarly intelligent models, completing most coding tasks in under 30 seconds.

The real innovation? A completely redesigned interface built around multi-agent workflows. You can now run several AI agents in parallel (using git worktrees or remote machines) to tackle the same problem, then pick the best result. Multiple attempts = higher quality output, especially for tricky code.

But here's what really matters: Cursor now includes a native browser tool so agents can test their own work and iterate until it's actually correct. Plus, code review and testing bottlenecks are finally getting attention—Cursor makes it easy to review agent changes and dive into code when you need to.

It's moving from "AI writes code" to "AI works like a real developer."

In this section, we aim to spotlight an incredible AI tool or use case and guide you on how you can try it.

This week's challenge: Redesign your living room (or flat, or bedroom) using AI moodboarding.

Why This Matters

You've got great taste. Your Pinterest board proves it. But translating "I like something modern but cosy" into actual design decisions? That's where mood boarding helps—and AI just made it stupidly easy.

Here's How to Do It

Step 1: Go to Mixboard
It's free and available in 180+ countries now. No login required to start experimenting.

Step 2: Craft Your Prompt
Be specific. Instead of "modern interior," try: "Scandinavian-inspired living room with warm wood tones, cream linen sofa, large windows, and plants. Minimal but inviting."

Step 3: Generate Images
Mixboard uses Nano Banana (Google's Gemini image model) to generate visual options. You'll get a board with multiple design directions.

Step 4: Refine with Photos Reprompt
Here's the magic: when you see an image you like, hit "Photos Reprompt." Mixboard regenerates similar styles and aesthetics. Doing this 3-5 times usually gets you exactly what you envisioned.

Step 5: Mix Your Own Assets
Bring in photos of furniture you own, paint colours you love, or inspiration images. Mixboard incorporates them into the moodboard.

You spoke, we listened. “AI in Enterprise” is here to stay. In this section, we're spotlighting real businesses using AI to solve actual problems.

This week: Why 95% of AI Pilots Crash (And How to Actually Win)

The Brutal Numbers

MIT's Media Lab recently published research that should make every executive uncomfortable: 95% of corporate AI initiatives deliver zero measurable return. Out of 300+ publicly disclosed projects, only 5% made it to production with real business value.

That's not a failure rate. That's a graveyard.

Why 95% Fail

Here's What Actually Works (The 5%)

By the Numbers: The Real Winners

Companies doing it right see:

Mid-market firms do it in ~90 days. Enterprises take ~9 months. But they actually get there.

The Difference: 95% vs. 5%

The 95% that fail? They chose fast. They wanted quick wins and visible activity.

The 5% that win? They chose wisely. They grounded initiatives in measurable strategy, ensured alignment across divisions, integrated properly, managed cultural change seriously, and paired internal knowledge with external expertise.

It's not about better AI. It's about better execution.

AI is full of jargon, and we’re here to decode it. Each week, we’ll give you a plain-English definition of a buzzy term you’ve probably seen (but never fully understood).

Thanks for reading TomorrowToday! We’d love to hear from you:

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