I did these common mistakes while starting the automation journey in make.com and soon realised that to build for production deployment in big companies, we must follow the best practices. Here are my top five. 1. Plan Before You Build💡 Mistake: Jumping straight into building scenarios without proper planning. ✅ Best Practice: - Understand the workflow before automating. Map out the steps using a flowchart. - Identify dependencies, triggers, and expected outputs for each module. - Consider edge cases and how the system should respond. 2. Use a Modular Approach (Smaller, Reusable Scenarios)💡 Mistake: Building one massive, complex scenario that does everything. ✅ Best Practice: - Break large automation into smaller, reusable sub-scenarios. - Use webhooks or data stores to pass information between scenarios. - This keeps your automation flexible, easy to debug, and scalable. 3. Handle Errors and Failures Gracefully💡 Mistake: Ignoring errors and assuming the automation will always run smoothly. ✅ Best Practice: - Use error handlers (e.g., "Ignore" or "Break" options in Make). - Enable automatic retries for API calls to handle temporary failures. - Use router branches to handle expected errors separately. - Log errors to a Google Sheet, Slack, or Notion for monitoring. 4. Optimize for Efficiency (Avoid Unnecessary Operations)💡 Mistake: Running scenarios too frequently, using unnecessary API calls, or processing all records instead of only new ones. ✅ Best Practice: - Use filters to process only the data you need. - Reduce execution frequency by using webhooks instead of time-based triggers when possible. - Store processed items in a data store or database to prevent reprocessing. 5. Implement Logging and Notifications💡 Mistake: Not having visibility into what the automation is doing. ✅ Best Practice: - Use logs (Google Sheets, Airtable, Notion) to track execution data. - Send alerts via Slack, email, or SMS for failures or important events. - Use Make’s built-in scenario execution history to debug issues.

I've been diving deep into the world of LinkedIn connections, and let me tell you, I made some rookie mistakes. But hey, that's how we learn, right? I used to think blasting out connection requests was the way to go. Turns out, there's a bit more to it than that. Here's what I discovered: 1.Your weekly connection request limit? It's not a fixed number. It actually ranges from 100-200, and it's heavily influenced by your Social Selling Index (SSI) score. (You can find that in Sales Navigator!) 2. Quality over quantity is key. Just because you can send out a ton of requests doesn't mean you should. I've learned to be way more thoughtful about who I connect with, focusing on mutual benefit. 3.Don't let those ignored requests pile up. Every four weeks, I'm now going through and withdrawing any pending requests. It keeps things clean and avoids getting flagged by LinkedIn. 4. First impressions matter a lot. When deciding whether to accept a request, I've realized these things stand out: A clear, professional headshot. A title that clearly explains how you can help me. The number of mutual connections. A thoughtful note (but only if it's truly relevant!). 5. Notes, use them wisely. If you have nothing special to say, do not use the note feature. Now, here's where I'm still scratching my head: I'm trying to figure out how to effectively connect with professionals like real estate agents and dental clinic owners. If you have any insights on how to make those connections meaningful, please share in the comments! Let's learn and grow together.

👋 Hey Accelerant crew! I'm Antonello Livrano, a Creative Director and Brand Designer at Livrano.com who helps forward-thinking businesses build powerful brand identities and efficient digital systems. My focus areas: - Brand Design Systems that scale with your business - Digital Product Design and Platforms with conversion-focused architecture - AI-Enhanced and Optimized Workflows that accelerate creative processes I've developed a rapid brand development methodology that combines strategic thinking with AI-powered tools to deliver high-impact results in record time. Excited to share insights on: - Building design systems that scale across platforms - Using Brand Strategy and Brand Identity to empower business Currently working with tech startups, design studios, and creative service providers across Europe. Always open to collaborating on innovative projects or chatting about the intersection of design and technology. Let's connect and elevate our creative practices together! 🚀

I am i the commercials of working with my first client and want to know how you guys structure your deals. The only option I see is charging a dev fee and low monthly charge for maintenance? What are your toughts?

**Goal** Find a motivated AI automation specialist to join our team and help build advanced automations for our clients. **Context** I have onboarded and landed a big client looking to complete many automations some of which include an AI phone system, Document analysis, Cost comparison. I am after a technically skilled individual capable of delivering such automations. ** Specifics** Make.com (Necessary) n8n (Necessary) Experience building AI Agents(Preferred) Respond to this post with some projects or experience you have building automations and DM me to hear more about the opportunity