If your sales reps are still manually researching leads, writing follow-ups from scratch, and prepping for calls by skimming old emails 20 minutes before the meeting... They're not selling. They're doing admin with a sales title. That's not a people problem. That's a systems problem. Here's what most sales setups actually look like: A CRM with data nobody updates. Email threads buried under 50 conversations. Meeting transcripts sitting in a folder no one opens. And your reps are expected to piece all of that together before every call, every follow-up, every outreach. They can't. Nobody can. Not consistently. Not at scale. Leads slip through the cracks. Follow-ups get missed. Deals die silently in your pipeline while everyone's busy chasing new ones. Here's how I fixed this. I built skills — specific, repeatable automations that an AI agent runs on command. Not generic chatbot stuff. Actual sales workflows that tap into the CRM, scrape LinkedIn, read past email threads, and pull meeting transcripts — all at once. For prospecting: I built a skill that scrapes LinkedIn post engagers, qualifies them against my ICP, enriches the data, and spits out a ready-to-use lead list. 127 engagers in, 17 qualified leads out. Minutes. Not hours. For lead nurturing: Another skill that goes through every lost or cold lead in the CRM. It researches them, reads past email conversations, checks their LinkedIn, and prioritizes who to follow up with and what to say. The low-hanging fruit everyone forgets about? It finds them. For call prep: A skill that pulls CRM data, email history, and meeting transcripts — then generates a full call brief. Company overview, interaction history, suggested agenda, discovery questions. Ready before you even open your calendar. For analytics: A skill that runs win/loss analysis across the entire pipeline. It reads transcripts, emails, CRM data — and tells you why you're winning some deals and losing others. Patterns you'd never catch manually. And these run on a schedule. Every morning at 7 AM, call preps are ready. Every month, the win/loss report updates itself. Nobody has to remember. Nobody has to touch it.

→ An automated email list that captures leads 24/7 → A nurture sequence that builds trust before the pitch → A Shopify store optimized to convert cold traffic into buyers → A recurring revenue model so income doesn't reset to zero every month → Follow-up automations that close the leads who didn't buy the first time The businesses winning right now aren't the ones with the best product. They're the ones with the best SYSTEM behind the product. I'm curious for those of you building automations for clients: 👉 Are your clients asking for lead gen and email list systems the most? 👉 Or is it more internal workflow automation? Would love to know what pain points are coming up most in your client conversations right now 👇

built an automation that generates a 10min video ai podcast on any topic. each video takes less than 5 minutes to create. cost per 10min video. guess.

How Experts Actually Design Automations Beginners design automations like this: Trigger → Action → Done Experts design them like this: Trigger → Check → Decide → Act → Verify → Log Example: Lead comes in → Check if lead already exists → Decide if it's new or returning → Send message → Wait for reply → Stop follow-ups if response arrives → Log outcome The difference? Beginners automate tasks. Experts automate decisions and safety. 😲questions:-> 1. at which things you're working now ? 2. what's most hard part to handle in your work ? 3. how you're building you're agents ? 4. any add-ons / suggestions ? 5. Which point is more useful for you?