Automate Your Business with No-Code AI

ALSO: OpenAI's new GPT-5 Turbo makes powerful AI cheaper

📖 Today’s Edition

• The Big Story: OpenAI’s new GPT-5 Turbo cuts costs, making enterprise-grade AI more accessible for SMBs.

• Trends: EU regulations are making AI compliance a competitive advantage, not just a legal chore.

• The Workflow: Build your own custom AI apps without writing a single line of code.

🚀 AI News & Breakthroughs

OPENAI’S GPT-5 TURBO MAKES ENTERPRISE AI CHEAPER

OpenAI has released GPT-5 Turbo, a new model that is faster and significantly more cost-effective for businesses.

The Details:

• GPT-5 Turbo is designed for high-throughput, real-time enterprise applications.

• It promises improved performance at a lower operational cost compared to previous flagship models.

Why it matters (Strategic Analysis):

This isn’t just an incremental update; it’s a strategic move that commoditizes high-end AI. For founders and SMB owners, this lowers the cost barrier to using sophisticated AI for tasks like customer support bots, automated reporting, and internal data analysis. The second-order effect is that it puts immense pressure on smaller AI companies whose primary value proposition was offering a slightly cheaper alternative. This signals a market consolidation where the biggest players will compete on price and efficiency, making powerful AI an accessible utility for all businesses.

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EU PROPOSES STRICTER AI REGULATIONS

The European Union has introduced new regulatory proposals focused on AI safety, transparency, and accountability.

The Details:

• The rules aim to set a global benchmark for AI governance.

• They target “high-risk” AI applications in sectors like finance, healthcare, and critical infrastructure.

Why it matters (Strategic Analysis):

For any business with customers in the EU, this is a wake-up call. Compliance is no longer optional. However, the strategic opportunity is to get ahead of the curve. Businesses that build and deploy transparent, compliant AI systems will gain a significant trust advantage over competitors. This regulation creates a new moat: “Compliant AI,” turning a legal necessity into a powerful marketing and sales tool.

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🛠️ AI Tools to Discover

1. Windmill

Build internal tools, fast.

• Use Case: Automate multi-step business processes (e.g., “when a new customer signs up in Stripe, create a folder in Google Drive and send a welcome email”) without relying on developers.

• Pricing: Free/Paid

Try it

2. Harvey

Automate legal contract review.

• Use Case: Drastically reduce legal bills by having AI perform the initial review of contracts and legal documents, flagging risks and key clauses for a human lawyer to verify.

• Pricing: Paid/Enterprise

Try it

💡 AI Prompts & Hacks

1. The GPT-5 Turbo ROI Prompt

Context: Use this to decide if upgrading your workflows to the new, cheaper AI model is worth it.

“Act as a Chief Financial Officer. My company currently uses [Current AI Model, e.g., GPT-4] for [Business Task, e.g., analyzing 10,000 customer support tickets per month].

The current model costs us [Current Monthly Cost, e.g., $500/month]. GPT-5 Turbo promises a [Cost Reduction Percentage, e.g., 40%] cost reduction and a [Performance Increase, e.g., 20%] increase in processing speed.

Your goal is to write a brief business case outlining:
1. The projected monthly and annual cost savings.
2. The business impact of the increased speed (e.g., faster response times).
3. A clear recommendation on whether to migrate to the new model.

Output Format: A 3-bullet point summary ready for a management meeting.”

2. The EU Compliance Check Prompt

Context: For a quick, high-level assessment of your company’s potential exposure to the new EU AI Act.

“Act as an AI governance consultant. My business, [Your Company Type, e.g., a B2B SaaS company], uses AI for the following functions: [List AI Use Cases, e.g., ‘customer-facing chatbots,’ ‘automated lead scoring,’ and ‘hiring analysis’].

Based on the key principles of the proposed EU AI Act (transparency, safety, accountability), your goal is to:
1. Identify which of my use cases might be considered ‘high-risk.’
2. List three potential compliance gaps I need to investigate immediately.
3. Suggest the first step I should take to prepare.

Output Format: A concise action plan with clear headings.”

3. The Internal Tool Scoping Prompt

Context: Use this before building a workflow in a tool like Windmill to ensure your plan is solid.

“Act as a Senior Product Manager. I want to build an internal automation workflow to [Business Goal, e.g., ‘streamline new employee onboarding’].

The process involves these tools: [List Tools, e.g., ‘Gmail,’ ‘Slack,’ and ‘Google Drive’]. The trigger for the workflow is [Trigger Event, e.g., ‘a new email arriving in onboarding@mycompany.com’].

Your goal is to create a formal project scope document that includes:
1. A clear, step-by-step description of the desired workflow logic.
2. A list of potential edge cases or errors to consider (e.g., what if a file is missing?).
3. The success metric for this automation (e.g., ‘reduce manual onboarding time by 2 hours per employee’).

Output Format: A structured document ready to give to someone to build the workflow.”

🧑‍🏫 AI Training: Workflow of the Day

How to Build a Custom AI App with No-Code

The Goal: Build a simple, custom AI application (e.g., a “Sales Email Generator”) in under an hour without writing code.
The Stack: Google Opal (No-Code AI App Builder)

Step-by-step:

1. Prototype in Plain English: Write down your app idea as a simple sentence (e.g., “Create an app that takes a customer’s job title and generates a personalized sales email.”)

2. Use the Visual Editor: Log into Google Opal and use the drag-and-drop interface to create workflow “nodes” that represent each step of your idea.

3. Connect the Nodes: Draw lines between the nodes to define the flow of data (e.g., “User Input” node connects to a “Generate Email” node).

4. Test and Refine: Run the workflow frequently to see the results. Adjust your prompts and logic in the nodes until the output is perfect.

5. Deploy: Once you are satisfied, deploy your app and share the link with your team.

Open Tutorial

“The AI landscape is splitting. It’s becoming both cheaper and more powerful (opportunity) while also becoming more regulated and complex (risk).”

— Industry Analysis

In short: The biggest winners will be the businesses that learn to leverage the new, low-cost AI power while carefully managing the growing compliance risks.