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2 contributions to Lead Gen Secrets
The Lead Isn’t the Conversion
Generating a lead is only the first step. The real opportunity starts after the form is submitted: Lead captured → response → qualification → conversation → appointment A strong backend can turn the same traffic into more opportunities without constantly increasing ad spend. Where are your leads dropping off right now?
0 likes • 9h
@Andrew Trevelyan That actually makes a lot of sense. I’d keep the manual replies for now, but use them as training data rather than just doing the work manually. You can start capturing the patterns in good replies, qualification signals, objections, and the point where you hand the lead to your partner. Then the agent can eventually handle the repetitive email conversations while still handing off qualified leads at the right point. Are you currently saving those email conversations somewhere so you can use them as training examples later?
1 like • 9h
@Diran George Exactly. I think the bigger opportunity is making the follow-up react to the lead’s behavior rather than just sending more reminders. If someone goes cold after booking, you can use things like their previous responses, appointment details, and engagement to trigger a more relevant re-engagement message instead of another generic “just a reminder.” Have you tested different re-engagement messages based on why the person booked in the first place?
The cold email sequence you write at hour 3 of a Claude session is worse than the one you wrote at hour 1.
Most people never notice. Every prompt goes into one bucket. Every sequence drafted. Every subject line tested. Every revision made. When that bucket fills up, the model starts cutting corners. Generic output. Forgotten instructions. Copy that feels like it was written on autopilot. There is a name for it: context rot. Two tools built specifically to fix it. Went straight to GitHub. Checked every fork. Found the dominant versions by star count. GSD: 65,000 stars. Oh My Claudecode: 37,000. 102,000 combined. Almost nobody in this community is using either. I had both installed before dinner. GSD structures what goes into Claude's context at each stage of your project. Instead of flooding the window with everything, it feeds Claude exactly what it needs, when it needs it. One command installs 68 global skills that activate automatically. Oh My Claudecode handles multi-agent orchestration. You describe the task. It splits the work across specialized agents and runs them in parallel. Automatically. Both free. Both open source. GSD: npx get-shit-done-cc@latest Oh My Claudecode: /plugin marketplace add https://github.com/Yeachan-Heo/oh-my-claudecode Jay built this community around test-iterate-improve. Most people apply that to sequences and subject lines. Almost nobody applies it to the AI layer itself. You have already felt the drop in quality on longer sessions. Now you have a name for it. And a fix. Ian Kirk
1 like • 19d
@Ian Kirk Yeah, I’ve been working with GHL, CRM workflows, and AI automation already, so I’ve implemented similar pieces on the client side. I haven’t implemented your specific CLI yet though. I was mainly trying to understand how far it can take the actual GHL implementation. Have you found it useful for speeding up client builds in practice?
0 likes • 13d
@Ian Kirk That’s interesting. Being able to build or transfer an entire snapshot could save a lot of time on the implementation side. When you use it for client builds, how much of the setup can you usually do without having to manually go back and configure things?
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Irfan Khan
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@irfan-khan-6656
Bussiness Onwer | Helping Business Owners with GHL fulfillment Marketing Solutions & VAs | Open to partnerships

Active 12m ago
Joined Aug 15, 2026
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