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94 contributions to AI AUTOMATION INSIDERS
GHL - Automations
Its prob. turning into the most advanced calender tool out there, with the service calender and so forth, anybody already used this new one in action with clients? happy to exchange experiences
1 like • 13d
@Sourov Sikdar Wau, quite nifty workflow, - question - where exactly to you get the optin from the lead such that you can call them up by vapi agent? Many thanks for your answer !
My personal, traditional future as Java Engineer in the Maschinebuilder world seems to be over soon..
As AI models become more sophisticated and integrate additional data sources (vibration, thermal imaging, process parameters), the accuracy and scope of predictive maintenance will continue to improve. Digital twins—virtual replicas of physical machines—will further enhance the ability to simulate maintenance scenarios and optimize service strategies. For machine builders, embracing AI-driven power consumption analysis is no longer a futuristic luxury but a strategic necessity. Those who implement these technologies effectively will deliver more reliable, efficient, and customer-centric solutions while strengthening their competitive position in an increasingly digital global market. The message is clear: by listening carefully to the electrical “voice” of their machines, manufacturers can move from simply building great equipment to guaranteeing its intelligent, long-term performance. So Yes, whilst AI Applications in the B2C arena are debated by the EU Regulations what is correct and what not allowed, in the Industry's that yet have keept the EU economoies alive and competive worldwide we are now reaching a point of no return, only less then 5% of the people will be needed within the next 10 years. Ps. and what we are going to do with all these people then, that will be unemployeed.. ? easy answer - I would say - they all become Yoga teachers. 😄
0 likes • 28d
@Sebastian Dine a french AI company just bought an austrian AI company forming an industrial AI powered LLM for especially cases like this.. will they make it and hold position vs. the mighty Google & Meta, and Elon Musk's - we will see, but as a matter of fact - industrial company's in the EU can use this AI model and their Data will never leave the continent. -- Lets keep going guys.. competition is on. 😁
client call this friday, prep time. - solar expert service provider
i do not know much yet about all current painpoints, but main point is, the ceo says, we are having somewhat 70 projects in the pipeline, yet only 5 full timers that do not seem to close any of the projects to a proper deal anytime soon, or rather sooner then later. What he said I am translating it." Any ideas from you guys, - my thoughst so far - my first thinking was - hmm they need a AI driven scoring system of some sort in order to know which of the 70 projects the 5 workers to focus on, but perhaps they have much more basic issues such as non digital processes or other inefficient things.. i am also not sure to what extent i should go for the GHL route, as I am not really a full expert in that system myself yet and still learning a lot. I guess i will try and ask the COO as many qeustions as possible. thanks for inputs.. als with regards to the questions to ask. best, Saba.
1 like • 29d
@Saba Amirahmadi I would prepare a questionaire, perhaps not sending them upfront but for yourselft to keep orientation during the call. After thousends of calls I have done myself, I realized that preparation is important, but often times the call turns out to be going in different dynamics then originally thought. There are some agencies that sent a range of emails upfront as part of a marketing sequence before the first call even is taking place, i would max. sent 2 emails for reminders, no more then that. if the call is only a week or two ahead of time.. all the best of luck
What is the best framework/guide to building agentic chatbots?
What is the quickest way to get to building out a chatbot that could handle outbound email or text campaigns? Whenever I try building one out with claude it defaults to inserted prompts, but it doesn't feel as agentic or natural in the conversation flow as OpenClaw would
0 likes • May 12
The "Best" Framework Hierarchy (2026) @Gabriel Nicholls If you want a professional-grade agent that doesn't feel "canned," you need a framework that treats State as a first-class citizen. To build a truly agentic outbound chatbot that avoids the robotic feel of static prompting, you should transition from linear chains to stateful graph architectures using frameworks like LangGraph or PydanticAI. By utilizing Claude 3.5 Sonnet as the reasoning engine and equipping it with specific functional tools (via Twilio or Resend) rather than just long instructions, the agent can autonomously navigate the "Think-Act-Observe" loop to handle dynamic conversation flows. For the most natural results, bypass heavy system prompting in favor of few-shot examples of your best past interactions, allowing the AI to mimic a human tone while maintaining the state across multi-day email or text campaigns.
Cultural Nuances in B2B Buying in the EU/UK vs. US: My honest optionen and experiences share
Why One GHL Funnel Strategy Doesn't Fit All – From US to DACH, North to South & East Europe ☺️ I've helped IT / software mainly but recently also renewable energy agencies and service providers scale across borders with GoHighLevel funnels for years. One hard lesson: copy-pasting a US-style funnel into Germany, Spain, or Poland will quietly kill your conversions, inflate CPA, and tank CLV. B2B buying isn't universal. Cultural wiring shapes trust, decision speed, risk tolerance, and what feels "salesy" vs. professional. Here's a practical breakdown with direct implications for your GHL funnels (order bumps, upsells, VSLs, forms, etc.). 1. US: Fast, Visionary, Transactional - Style: Individualistic, risk-tolerant, benefit-driven. Buyers respond to bold claims, urgency, and quick wins. Decisions often by one or few influencers. - Funnel fit: High-converting order bumps work great ("Add this for just $47?"). Aggressive scarcity, guarantee stacking, and emotional VSLs. Short forms, fast checkout. - KPIs: Great for lowering CPA via volume and boosting immediate AOV. CLV can be solid with strong onboarding but churn risk if delivery doesn't match hype. 2. UK: Somewhere in Between – Polite but Pragmatic - More reserved than US but still deal-focused. Values clarity, proof, and relationships without excessive formality. - Funnel tweaks: Tone down the hype slightly. Use subtle urgency and strong social proof/testimonials. Order bumps can work if they feel helpful rather than pushy. 3. DACH (Germany, Austria, Switzerland): Logic, Precision, Risk-Averse - High uncertainty avoidance + detail-oriented. Buyers crave specs, certifications, transparency, reliability, and long-term value. Emotional/fluffy copy feels unprofessional. Sales cycles 2-3x longer than US. Loyalty, once earned, is much higher. - Funnel implications: Order bumps: Often counterproductive if they feel impulsive or add complexity. Better as clear-value add-ons with detailed benefits/specs. Heavy on data, case studies (local if possible), guarantees, and T&Cs upfront. Avoid hard scarcity or "limited spots" – it can trigger skepticism. Result: Higher CPA initially (slower trust-building), but potentially much better CLV through retention. - Pro tip: Build in more nurturing sequences and detailed comparison pages.
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Thomas Klein
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@thomas-klein-1900
Good looking! Beauty loving! High performing! Strategic thinking! Fast implementing! The most inpatient entrepreneur in Germany!

Active 2h ago
Joined Aug 8, 2025
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