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27 contributions to AI Automation Agency Hub
Looking for the right technology partner?
Not every agency wants to build an in-house technology team. And not every business needs to hire a full development team for every project. Sometimes, you just need a reliable technology partner who can step in when the requirement comes. We’re open to working with agencies, consultants, startups and businesses across different markets. If you’re looking for support with: • Web & software development • Mobile app development • SaaS products • Custom business applications • Dedicated development support • Project-based or long-term technology requirements We can work alongside your existing team or take care of the technology side while you focus on your clients and business. We’re particularly interested in connecting with agencies and businesses across the US, UK, UAE, Australia and other international markets. If you already have clients who need technology services that you don’t currently offer, let’s talk. If you’re an agency looking for a dependable development partner, let’s connect. visit us at https://versalence.ai
1 like • 18h
@Mouldi Nouri True, keeping things simple via a jointly agreed contact or MOU makes it easy and less of a headache on onwership - that is what we do
BETA Testing
We are opening up CruzClaw Beta for solo entrepreneurs who want to test a new kind of virtual executive assistant. CruzClaw is built to act like a digital employee, helping with follow-ups, organization, reminders, scheduling and communication support, while working in its own space. We’re currently inviting a small group of early users to try it as part of our beta program. The first 20 solo entrepreneurs to join will get 1 month of free usage. If you’d like to be part of the beta, DM me or write to tesla@ops.versalence.ai for details visit https://cruzclaw.app
2 likes • 19h
tesla@ops.versalence.ai is not my mailbox its my EA's and is a Cruz agent
1 like • 19h
I am aking for your feedback to help improve
Is this normal? My first production AI agent has humbled me
Is this normal, or am I just bad at this? 😅 Building my first production-level AI agent — a WhatsApp booking bot for a dermat clinic (n8n + AI Agent + Postgres/Redis + EkaCare integration). Booking, reschedule, cancel, the whole flow. The last couple weeks have been a real lesson in how many ways things can quietly break: - Agent confidently told a patient "you're booked!" — except the booking had actually failed, it just never found out - Session memory that worked fine... until a stray character in the key made it forget everyone was ever there - A field I *knew* was an array turned out to be a stringified array three nodes downstream, and everything silently broke - A workflow crash mid-booking left the system in this weird limbo state where the agent kept insisting it was "still checking" — forever None of these showed up until real (test) conversations hit them. Everything looked fine on paper. So — genuine question for anyone who's shipped agentic workflows to production: is this just what building these systems looks like? And if you've been through this — what's actually helped you catch this stuff earlier? How do you test for the weird edge cases (crashes mid-flow, race conditions, data type mismatches) before a real user finds them for you? Would love to hear how others approach testing here — feels like there's no "just write unit tests" playbook for this yet, or maybe I just haven't found it. 🙂
0 likes • Jul 21
Agent confidently told a patient "you're booked!" — except the booking had actually failed, it just never found out - your state management is bad - so the bot really did not knew if the booking actually worked or failed - or just assumes booking will be done! make API's async - wait for results before agent announces anything, add retry loops based on known failures
2026 go-to stack for client WhatsApp bots? (Meta verification keeps stalling me)
Question for people shipping client WhatsApp chatbots right now: With Meta changing things constantly and BSPs coming and going, what's your current go-to path for customer-support bots? I'm building on n8n + WhatsApp Cloud API (direct). Automation works fine, but Meta's business verification has been the real bottleneck — slow and easy to get stuck. Tried YCloud as a BSP earlier and struggled there too. What route are you actually finding most accessible and reliable for client work — direct Cloud API, a specific BSP, or something else? And how are you handling verification so it doesn't stall the project? Appreciate any real-world input 🙏
1 like • Jun 6
We stopped trying to build our delivery around BSP dependency. For client WhatsApp bots, our current path is to work directly through Meta’s ecosystem. We applied for Tech Provider access, got approved, and now we build the onboarding flow, number connection, permission handling, automation layer, and customer support workflows around that. That gives us much better control compared to depending on whichever BSP is working smoothly that month.
0 likes • Jun 8
@Misael Gomez Yes co-existence is a feature that allows you to keep the same number and it doesn't need a BSP
Need help urgently!!!
Hello everyone, I'm writing this because I've reached a point where I feel completely overwhelmed by the amount of information out there. I've been exploring AI and automation for a while now, but I don't feel like I've truly learned anything in a structured way. I find myself jumping from one tutorial to the next, and whenever I open tools like n8n or try to build something on my own, I often don't know where to start. What makes it even more frustrating is that by the time I finish one tutorial, there's already a new tool, framework, or trend being discussed. YouTube is full of similar content around CRMs, chatbots, voice agents and email outreach, but very few people explain how they actually build real-world automations from scratch. Most tutorials seem focused on using templates rather than teaching the underlying thought process. I'm also curious about how experienced builders use tools like Claude Code and other AI coding assistants to create automations and workflows in practice. If anyone has been through a similar learning curve or can point me toward a more practical approach, I would really appreciate your guidance. I need to make meaningful progress as soon as possible, and right now I feel stuck. Thank you in advance for any advice or suggestions.
1 like • Jun 6
The problem is that most people try to learn AI automation tool by tool, but real implementation does not work that way. n8n, Make, Botpress, APIs, databases, and webhooks are only components. The real skill is learning how to think through a workflow. A better learning path is: 1. Start with one real business problem, not a tool 2. Break it into systems - Input -> logic -> data storage -> AI decision -> action -> human fallback -> reporting. 3. Learn APIs, webhooks, JSON, databases, and error handling. These matter far more than memorizing n8n nodes or templates. 4. Build small but complete automations 5. Use AI coding assistants like Claude Code as a builder, not as a magic button. You still need to define the flow, data structure, edge cases, and expected output clearly. Once you understand that pattern, most automations become variations of the same logic. I believe, the fastest way to make progress is not to chase every new tool. It is to build a few real workflows deeply and understand why each step exists.
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Lijo Mathew
4
84 points to level up
@lijo-mathew-5835
Accompany your bots with versalence.ai

Active 18h ago
Joined May 24, 2025
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