Toggl Track data entering its AI era 🤖
Now that the trend of turning your team into #Ghibli-styled characters is finally slowing down... here’s a way to use #AI efficiently, like, for actual work. I recently built a framework to estimate Web project costs in minutes instead of days. Here’s the process I followed: ⏱️ I reviewed Toggl reports from past webflow projects, breaking down hours spent on: design, meetings, development, handoff... 📦 I categorized each by: – Number of pages – Functional complexity (simple vs CMS-heavy) – Visual complexity (basic vs animation-rich) 🤖 Then I fed all that into ChatGPT. It helped me structure a comparative table: for each combo of size + complexity, I now have a range of expected hours, and by applying our hourly rates, I can get quick, realistic cost estimates. The best part? It’s scalable. ✨ The table doesn’t just reflect past projects, it helps me model new ones, even odd cases like a one-pager with full animation overload. Now, instead of “give me a few days,” I can say “here's what that might look like” in minutes. If you price projects: track your time, spot patterns, and make AI help you out in a way that’s actually worth it.