If you're experimenting with automation workflows, here’s something useful: You can currently get 10,000 free operations for 30 days on Make. This is enough to: • Build and test real workflows• Connect APIs (CRM, WhatsApp, Sheets, webhooks, etc.)• Experiment, break things, and fix them while learning A lot of beginners struggle with free plans because they’re too limited to test real automations, but this one actually gives enough room to experiment properly. Heads-up: this offer is only available for a limited time.

I created a Gmail AI email triage system in about 15 minutes using Make, Gemini, and Claude. Here’s what the workflow does: • Watches the Gmail inbox automatically • Gemini reads every incoming email and classifies it as Spam / Critical / Moderate Then it takes action based on the category: 🚫 Spam → Ignored (no action)🔴 Critical → AI drafts a professional reply and logs the email to Google Sheets🟡 Moderate → AI drafts a reply and saves it as a Gmail draft The scenario includes multiple modules, routing, and AI decision paths. The interesting part: I didn’t manually drag modules or build the structure step by step. I described the workflow, and the system generated the full automation scenario including module setup, filters, and connections. What still matters though is understanding how automation works. Knowing the logic behind workflows helps you review what AI generates and adjust it properly instead of just blindly running it. Curious to hear how others here are using AI to speed up building automations.

In one recent workflow we reviewed, billing depended on multiple tools being updated manually. Teams were: • Creating invoices after projects were marked complete • Cross-checking client details and tax information between project management and accounting systems• Tracking payments separately and updating records by hand • Fixing duplicate entries and mismatched billing data The work itself wasn’t complex just repetitive. But it slowed invoicing cycles and made financial visibility harder. We approached it as a workflow problem rather than a finance problem. By connecting the project management system with the accounting platform through automation, the process became more consistent: • Invoice data stayed aligned across systems • Manual entry and duplicate corrections were reduced• Billing moved faster with fewer delays • Teams gained clearer visibility into receivables Curious how others here are handling billing workflows across multiple tools still manual steps involved or mostly automated now?

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I’ve been testing it lately and it’s surprisingly strong for long documents, structured reasoning, audits, and building workflows especially when you need consistent outputs instead of just chat responses. Curious how others are using it Are you integrating it into agents or automation tools like n8n, or mainly using it for research and coding?