ngl ai cold email is kinda overrated rn. everyone's sending the same ai opener and people can smell it from a mile away, the only replies i get are from the dumb manual research i still do. am i wrong or is it still working for u?

most new model drops change nothing for what i actually build. swapped models for a week on my video pipeline and the output barely moved, the prompt and the glue between steps was the real problem. am i wrong or has a new model actually changed anything for u?

One thing I find exciting about learning AI is that you don't need to build a huge system to see results. Sometimes, automating one repetitive task can save time, reduce manual work, and give you more room to focus on higher-value projects. Here are a few tools worth exploring when building and tracking automation projects: - ⚡ [n8n](https://n8n.io/) — Connects apps and automates workflows, with options for AI-powered processes. - 🔗 [Make](https://www.make.com/) — Builds visual workflows that connect different apps without needing to code everything manually. - 🤖 [OpenAI](https://platform.openai.com/) — Provides APIs for adding AI capabilities to chatbots, assistants, and automated workflows. - 📊 [Google Sheets](https://sheets.google.com/) — Tracks leads, workflow results, time saved, and project performance. - 🧠 [Notion](https://www.notion.com/) — Organizes project documentation, experiments, and lessons learned. - 🌱 [Floment](https://floment.ai/) — Another platform to explore for sharing ideas, projects, and discussions with online communities. A useful habit is to measure the result, not just whether the automation works. For example, compare how long a task took manually versus how long it takes after automation. That gives you something concrete to show a client or add to your portfolio. What's one AI tool or automation you've tried that genuinely saved you time, helped a client, or created a new opportunity? I'd love to hear the actual results! 💡

For those of you using AI to draft posts or emails, where do you land: do you write a rough human version first and let AI polish it, or let AI write the first draft and then rewrite it until it sounds like you? Curious which one holds up better once you read it back the next day.

ran the same receptionist script through elevenlabs and a cheaper tts and the cheap one sounded more human on short lines. elevenlabs still wins on longer stuff tho. which one do u guys actually pick