The industry standard for field service scheduling shows three to four technicians at a time, surrounded by completed appointments that are no longer relevant. Dispatchers spend their day mentally filtering noise just to see what is actually happening.

We designed a view where the full team's day is visible at once. All technicians, all AI-powered routes, who is running late, who has gaps, accessible from one place without opening a single individual profile. The view scrolls dynamically with time so completed appointments drop away and the focus stays on what still matters.

For a team of 150 technicians, the filter lets the dispatcher narrow to a specific group, region, or area in seconds. Tomorrow's schedule is already built before anyone starts work because the AI pre-builds routes based on recurring appointments.

If you run an agency or a B2B business, you know that finding qualified leads takes hours of manual work every single day. I had this exact problem, so I built an automated system to solve it.

I engineered an intent discovery pipeline using n8n and the DeepSeek API. It runs on a self-hosted VPS, pulls real-time data from platforms like Reddit and GitHub, scores the intent of every post using AI, and pings my phone with only the high-quality leads.

It completely eliminated manual prospecting for my own business.

I’m sharing the open-source repo with anyone who wants to see the code—just shoot me a DM.

But if you want a custom, fully integrated version of this built for your sales team without having to touch a single line of code, this is exactly what I do. I build robust n8n automations and AI agents that save hours of manual operations.