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Owned by Imtiaz

Learn How To Transition From AI Agents To Compounding Digital Assets

Build Production-Ready Digital Employees

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9 contributions to AI Automation Society
When you reuse an n8n stack for a new client… what changes?
Genuine question for agency owners building with n8n + Claude Code right now: When you clone a workflow for a new client… What actually changes? -The API keys? -The prompts? -The data source? -The logic? All of the above? Most of us are: * Building a stack * Getting it working for one client * Duplicating it * Tweaking it * Shipping Which is smart. But here’s the quiet question: As those tweaks pile up… Do you actually know what’s different between Client A and Client B? If Claude’s behavior shifts… If you refine a prompt… If you adjust a node to fix one edge case… Are you upgrading the “template”? Or just patching one clone? I’m building in the same ecosystem. Just noticing that everyone’s focused on getting agents working… Very few are thinking about how reusable systems evolve or get versioned over time. Curious how you’re handling versioning across client stacks right now.
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When you reuse an n8n stack for a new client… what changes?
Hiring
Hey guys 👋 my names Dan..I’m the owner of A7 Technology Services. We need a contractor to come build with us. We’re deploying AI infrastructure for clients in National Defense, law, healthcare, content creation, real estate, and more so this isn’t hobby stuff. Real systems, real compliance requirements, real accountability. What we’re building: ∙ Automations across N8N, Make, Zapier, and Power Automate ∙ Agentic workflows and AI assistants built with Claude Code ∙ AI assistants and agents across client stacks ∙ Knowledge graphs — if nodes and edges genuinely interest you and you get why they turn agents into probabilistic reasoning machines, we need to talk ∙ Context and prompt engineering done right What you need to bring: ∙ Client delivery experience — you’ve shipped for someone other than yourself ∙ Solid understanding of PIPEDA and PII handling — non-negotiable given our client base ∙ Comfort in ambiguity — we’ll teach our specific stack, but you need the fundamentals cold ∙ Quality and reliability aren’t buzzwords here — most of our clients have been with us for several years. You’re stepping into relationships that matter Bonus if you know: ∙ ClickUp, MCPs, ETL pipelines, context engineering principles What you get: ∙ Flat monthly contract starts light as you get comfortable with our client base, then ramps up as trust is built ∙ Exposure to some of the most interesting regulated-industry AI work being done right now ∙ A real system to plug into and if you’re the right person, a long runway ahead DM me or drop a comment
Hiring
0 likes • 2h
@Daniel Rondeau love seeing regulated industries taking AI seriously. Curious — how are you handling decision traceability and rollback across your Claude Code agents? Most teams I see nail the automation layer, but governance across N8N + assistants is where things quietly break
🚀New Video: Claude Code Just Added What Everyone Wanted (Remote Control)
In this video, I walk you through the new Claude Code remote control feature. What it is, how to set it up, and how to start using it from anywhere. I demo the full setup process so you can follow along step by step, and I cover some key limitations and things you should know before diving in. By the end, you'll have everything you need to get Claude Code remote control up and running on your own. Whether you're managing projects on the go or just want more flexibility in how you work with Claude Code, this is a game changer. Claude Code Remote Control Links: https://code.claude.com/docs/en/remote-control https://venturebeat.com/orchestration/anthropic-just-released-a-mobile-version-of-claude-code-called-remote
0 likes • 1d
Thanks
What actually breaks when AI agents scale?
Over the last few months watching teams deploy AI agents across clients, I’m seeing a few consistent patterns: 1️⃣ Prompt stacks grow messy fast. What started as 10 prompts becomes 60+. Small edits compound. Nobody remembers why decisions were made. 2️⃣ Drift is invisible. Agents don’t “learn” — they just execute. But outputs slowly degrade when context changes. 3️⃣ Customization kills reuse. Every client tweak forks the system. Soon you’re maintaining 5 slightly different versions. 4️⃣ No audit layer. When something goes wrong, nobody knows: – what version ran – what context it had – why it decided what it did At small scale this is fine. At enterprise scale, it becomes governance. Curious: For those running multi-agent systems or client-facing agents — What’s the first thing that started to hurt as you scaled?
What actually breaks when AI agents scale?
0 likes • 3d
@Grace Kang 100%. Visibility becomes the bottleneck before capability does. Most teams optimize output quality — few optimize explainability.
1 like • 3d
@Stephanie Brown You’re right — small scale isn’t “fine.” It just hides the cost. Governance debt compounds quietly until it’s expensive. To answer your question, I’m seeing a split. Operators from regulated or structured environments think about it early. Pure builders tend to optimize for speed first — and retrofit control later. The retrofit is always more expensive.
Client Acquisition Update (What’s Working for Me Right Now)
Quick update for agency owners and service businesses: Over the past few weeks, I’ve been testing a fully automated client acquisition system built with n8n , focused on consistent outreach, follow-ups, and lead handling without manual work. 📊 Results so far:This system helped me land my first 3 clients within a few weeks of setting it up. ⚙️ Why this works: - Automated outreach & follow-ups (no chasing manually) - Consistent lead flow without daily effort - Scalable system you can refine instead of starting from zero every time - Saves time while keeping messaging personalized This isn’t theory — it’s working in real conditions. If you’re interested in: - Getting clients consistently for your agency or business - Learning how to set up a simple automation-based acquisition system - Avoiding burnout from manual prospecting 👉 You can: - Join the WhatsApp community:https://chat.whatsapp.com/JjHbc7IpENPFxMmoKl83mo - Message me directly on WhatsApp:https://wa.me/2348037100504 - Or comment “Interested” below and we’ll take it forward Happy to share what I’m doing and how you can adapt it to your own business.
2 likes • 7d
interested
1-9 of 9
AI agents break when they scale. I install the layer that prevents drift — identity, memory, versioning, governance. digitalworkforcesystem.com

Active 1m ago
Joined Jan 13, 2026
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Dallas, Texas
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