BIG morning of Make updates from #Waves25 💥 Our team shared what’s next for Make and how we’re helping you build, accelerate, and scale through visual orchestration - our way to view and manage everything happening across your automations and AI systems: https://t.co/hYPWkddM0x

@VoiceflowHQ 𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭? Over 30% of support requests are handled end-to-end, users get faster responses, and support teams have fewer repetitive tasks. 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐬𝐭𝐨𝐫𝐲:

Using @VoiceflowHQ on the front end and @make_hq to run the workflows behind the scenes, the system: → Verifies users securely with one-time passwords → Answers complex customer requests using live data → Qualifies leads and triggers follow-up actions automatically

“It’s really hard to both identify unique people and to do that in a privacy-preserving way…having a human-centric system turned out to be way more important in the world today than we realized.” - Sam Altman

Most chatbots stop at basic FAQs - Kai S. Huxmann, wanted to go further He is 𝐭𝐡𝐞 𝐰𝐢𝐧𝐧𝐞𝐫 𝐨𝐟 𝐨𝐮𝐫 𝐥𝐚𝐭𝐞𝐬𝐭 𝐌𝐚𝐤𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞. He built a three-agent AI chatbot that can verify users, access real data and more: https://t.co/JhYkRGGd2E

→ He also finds it very reliable. In terms of workflow consistency, he has had workflows running for clients for 2–3 years without interruption. Learn more about how you can #MakeitHappen:

For a small automation agency, Make has improved its ability to solve clients' problems 🛠️ → Kofi D., AI and Automation Consultant and #nocode expert, says Make’s user interface is very easy to understand.

The economic doom loop represents what can happen when a business takes on excessive debt, then struggles with the burden of financing that debt, and finally loses ways to make money. If we think of a city in the same manner, the situation can be explained by high taxation,

Financial snapshot dashboard built in @softr_io (@Xero data via @make_hq) Daily cash position, exec-style KPIs, and a balance trend Fully automated: Xero -> Make -> GPT -> Softr Built to give small business owners a calm, daily view of their money before decisions start

You can now connect to any API faster with our HTTP app 🌐 Here’s what’s new: 📑 𝐁𝐮𝐢𝐥𝐭-𝐢𝐧 𝐩𝐚𝐠𝐢𝐧𝐚𝐭𝐢𝐨𝐧 ⚙️ 𝐕𝐢𝐬𝐮𝐚𝐥 𝐝𝐚𝐭𝐚 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 🔐 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐠𝐫𝐚𝐝𝐞 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 💻 𝐑𝐞𝐯𝐚𝐦𝐩𝐞𝐝 𝐔𝐈 Read more: https://t.co/CdCxk7af0g

→ From shipment planning to sample orders, automation helped @DUDEwipes grow quickly without losing control or burning out employees. Read their success story:

.@DUDEwipes has built a culture that fuels rapid growth through automation and AI 🤝 → Using Make, the team automated 100+ processes across supply chain, marketing, and operations, giving people time to focus on what matters. → Read how they did it: https://t.co/F9vGf7pMau

Our Community Champions program highlights users who consistently share their knowledge and help others level up. 🚀 Interested in becoming a Champion? 𝐀𝐩𝐩𝐥𝐲 𝐡𝐞𝐫𝐞: https://t.co/LmKymKg0Z4

→ Today, Donald works at Automation Helpers as a No-Code Developer. He creates workflows that connect dozens of tools to help people automate their work. → One of his coolest automations converts call transcripts into detailed proposal packages.

Get to know our Make Community Champion: Donald Mitchell 👏 → With over 15 years of IT support experience, Donald had been building scripts and automations long before discovering Make. 𝐋𝐞𝐚𝐫𝐧 𝐚𝐛𝐨𝐮𝐭 𝐡𝐢𝐦: https://t.co/ywSDn7DuoF

This is one small automation in a much larger system. Emails come in. Data is extracted via @make_hq Records are created or updated in @airtable . Subscribers are synced into @MailerLite . Groups are assigned automatically. No manual cleanup. Airtable acts as the source of

Great experience at the @make_hq AI World Tour in Berlin! 🚀 Learned how easy the Make AI Agent is with help from the team. We built a customer care app with Gmail, @airtable, and of course SIGNL4 for mobile alerting. @signl4me #alerting

🚀 𝐓𝐡𝐞 𝐭𝐨𝐭𝐚𝐥 𝐧𝐞𝐰 𝐜𝐨𝐬𝐭: $150. 𝐓𝐡𝐞 𝐫𝐞𝐬𝐮𝐥𝐭: 99.7% drop in annual auditing expenses, higher accuracy, and a smoother experience for employees and the T&E team. 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐬𝐭𝐨𝐫𝐲:

.@Celonis' previous auditing tool cost $50k per year and still couldn’t keep up with the team’s workload. So they built their own solution ⤵️ ⚙️ Using Make, Vertex AI (Gemini), and @mondaydotcom, Celonis developed an AI-driven auditing workflow with human oversight.

I’m here with the coolest @Ishansharma7390 and team at Bangalore AI Hack Day!! I was told only very select builders were chosen for this event, yet I see so many builders better than me working on crazy ideas with @make_hq But what am i building?

@make_hq Vidéo générée avec ce Scénario Make + API @elevenlabsio et API Kling Avatar 2.0 dans @fal

👉 𝐒𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐬𝐩𝐨𝐭 for a practical look at how to build AI that truly works in 2026:

💡 𝐘𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧: → Why prompt-only agents are already outdated → Why autonomous agents still complete <2.5% of real tasks, and what actually works → Why context, governance, and MCP tooling now matter → How Make’s hybrid model covers the full scope of work