​I'm building a scenario that connects Airtable to Slack, but whenever I try to set up the Slack module to send a message to a channel, I keep running into authentication issues. ​Every time I try to connect my Slack account, it either gives me a not_authed (200) error, fails to load channel data (Failed to load data), or asks for a Client ID and Client Secret (Bot/User connection). ​Is there an easy way to properly authenticate Slack in Make without having to create a complex custom Slack app from scratch? ​Any tips or guidance would be greatly appreciated. Thank you... @Liam Ottley

Hey everyone, If you want to operate a successful AI Agency, three questions matter more than anything else: What should you sell? Who should you sell it to? And what are businesses actually willing to pay for? Our September AI Agency Report is designed to help answer those questions. We analysed data from more than 800 active AI agency owners inside the Accelerator to see what is actually selling, where demand is coming from, and how agencies are structuring their offers right now. Use it to identify promising markets, sharpen your offer, and see where agencies are generating revenue from both one-off projects and ongoing work. We’ll be publishing this report every month going forward. Let’s get into what happened in September. 1. Project pricing We’ll start with what businesses paid for the projects reported. The average disclosed project price was $10,800 USD, with prices ranging from $3,000 to $20,000 USD. (refer to image 1) The priced work included paid diagnostics, assessments followed by custom builds, and a healthcare system for searching and drafting across regulatory documents. To understand those projects better, let’s look at the businesses buying them. 2. Client industries The reported clients came from several industries, with professional services making up the largest named group. Professional services accounted for 33.3% of entries with a stated industry. (refer to image 2) Professional-services work included legal case admin, accounting workflows and government-contract monitoring. Healthcare projects covered regulatory-document search and funnel diagnostics. Across these industries, the work addressed a range of business tasks. 3. Services being sold Here’s what agency owners built, assessed or delivered for those businesses. The reported work covered six main areas: - Document search and drafting: regulatory information, contracts and proposals. - Workflow automation: legal case admin and accounting processes. - Data assistants: production-data queries and meeting preparation. - Custom software: booking platforms, CRM systems and payments. - Diagnostics and training: business assessments and staff training. - Marketing systems: lead generation and customer testimonials.

Over the past two years we've sold tens of thousands of dollars' worth of AI workshops at Morningside. They're the easiest way we've found to get in the door with a larger company. You're not pitching. You're in the room, teaching their exec team, building trust before anyone talks about a project. 75%+ of the organisations we run these with end up bringing us in on AI adoption work afterwards. Last Friday I ran a session inside the Accelerator breaking the whole thing down: why companies buy workshops, how we deliver them, and what's on every one of our 60+ slides. The agencies in there loved it, so I filmed a version for you too. I walk through the deck slide by slide. At the end you can grab the full Executive Workshop template, yours to keep. Same deck we use to run workshops companies pay thousands for. If you're working with larger organisations, or you want to see how we get executive teams to actually move on AI, this one's for you. → Watch the video and get the template Talk soon. Josh.

I hope you’re all doing well and having a wonderful day filled with positivity, inspiration, and new opportunities. May your future be bright and full of success, built on your hard work, determination, and passion for continuous learning. Remember, the future belongs to those who never stop learning, dare to innovate, and embrace the power of Artificial Intelligence to turn their ideas into reality. 🤖 Let’s learn together, grow together, share our knowledge, and build a future where our skills and creativity make a real difference in the world. Our backgrounds may be different, and we may come from different corners of the world, but our ambition unites us: to learn, to innovate, and to shape the future together. @Liam Ottley @Anass Ibn Malik

Hello everyone I'm Anass. I’m looking for a clear, step-by-step roadmap to become really good at AI Automation. I’m currently learning AI Automation and I want to build real-world solutions for businesses, not just simple demos. I would really appreciate it if someone experienced could give me a roadmap from beginner to professional, broken down into clear steps. For example: 1. What should I learn first? 2. Which tools should I focus on? (n8n, Python, APIs, OpenAI, databases, RAG, AI Agents, Voice AI, etc.) 3. What should I build at each stage to practice? 4. When should I start looking for clients? 5. What skills are actually important for building production-ready automations? 6. How can I move from simple automations → advanced AI agents → complete business systems? 7. What should I avoid wasting time learning? 8. What would you recommend I focus on during my first 30, 60, and 90 days? I’m not looking for a generic list of tools. I’m looking for a practical roadmap with milestones, projects, and the correct order to learn things. If you’ve already built a successful AI Automation career or agency, I’d really appreciate you sharing the path you would follow if you had to start again from zero. 🙏 Thank you! 🤝♥️ @Liam Ottley