Activity
Mon
Wed
Fri
Sun
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul
What is this?
Less
More

Memberships

Clief Notes

41.7k members • Free

Chase AI Community

71.8k members • Free

AI Automation Agency Hub

328.5k members • Free

AI Automation Society

423k members • Free

2 contributions to AI Automation Agency Hub
An agent that sets you up, teaches you, and builds the AIOS with you
Hi all. Most of you know the AIOS concept, so I'll skip the basics and get into what I built and where I want your feedback. It's heavily inspired by ICM, OKF, and the LLM Wiki work. The shared idea across all three: keep the business as plain, structured, human-readable files (markdown), not a vector DB, so any model can load and reason over the whole thing directly, and so the owner keeps their system instead of renting it. Everything else follows from that. It's your whole business (context, clients or customers, services, workflows, knowledge) as one open, file-based system that any AI can run. You download it and own it, no subscription, provider-agnostic. The autonomous agent is the piece I care most about, and it does two jobs: - Onboarding: a conversation that builds your structure and context as you talk. It replaces the slow manual interview, and the familiarity you build during setup carries straight into using it. - Ongoing assistant: the same agent teaches you the system, builds and updates your skills, runs skills on demand or on a schedule, and pulls from connected tools. Text-first throughout. Some design decisions: - Skills you build and run, not a fixed roster of agents. Easier to grow, version, and maintain. - A shared engine plus per-vertical content packs, so the same system adapts to different businesses without forking. Provider-agnostic model routing, so you can point it at whatever model you want. - Where it's at. I run my marketing agency on it, and I'm now offering it to owners in the 4 verticals I know best (agencies, home services, ecommerce, personal services). I'm actively improving it as I learn from each build. What I'd love feedback on: - The file-native, no-vector-DB bet. Where does it stop scaling? Agent-led onboarding as a pattern. Better or worse than a form plus templates? - Skills-as-capability vs an agent swarm for the ongoing assistant. What would you need to see to trust this to run real parts of your business?
0 likes • 3h
@Chetan Mishra Really appreciate this!! You went straight for the parts that matter. On lock-in: that's my whole bet. You download the vault and it's just files and git, so it outlives whatever model or provider you're on. Google's OKF work pushed me further in that direction, and it was validating to see a big player land on file-native for the same reasons. On scaling, you're right, and it's the thing I think about most. It's important to know that the agent doesn't load the whole vault into context today. Skills declare exactly which files they read, so a given run pulls a handful of files, not everything. The way it works now is basically a lightweight retrieval or index layer for efficiency while markdown stays the source of truth. Keep the ownership, add the speed. The onboarding as free training data is exactly how it's working now, it surprises me how smart the agent gets based on the answers given by different users. The part I'd add is that the conversation gets persisted into the vault, so it isn't just setup, it becomes owned context that personalization compounds on. A form can't give you that, and the owner also trusts the assistant more because they watched it get built. On trust, this is the sharpest point and where I'm spending the most energy. Right now it's human-in-the-loop before anything leaves the system, so any send or external action pauses for you. But that's still closer to "confirm each step" than a true real-time approval surface. A see-and-approve-before-it-acts layer is the thing I most want to get right, for exactly the reason you gave. Post-hoc logs don't build trust, previewing the action does. Would love to keep talking about this, especially the approval layer. Happy to show you the actual thing if you're curious.
7 months in solid foundation, but feeling stuck. Need honest advice.
Hi everyone, I've been in AI automation for 7 months now. Here's where I'm at honestly: What I've built: - Upwork profile with 100% JSS, Rising Talent badge and n8n Verified Creator - $400+ earned on Upwork - One fixed client who pays $500/month for voice agent work Real client deliverables voice agents, n8n workflows, Google Sheets automations, post call notification systems The problem: Since March I haven't landed a single new client outside my fixed retainer. Upwork feels saturated and my proposals aren't converting. Skool communities have been quiet too. For people who are past this stage how did you break through? What actually worked for getting clients consistently at my level? Was it a specific channel, a specific offer, or something else entirely? Any honest advice appreciated. I don't want sugar coating, I want what actually worked for you. Seven months in I know how to build. I just need to figure out how to sell consistently. Upwork: https://www.upwork.com/freelancers/~012508683664ed5f7a?mp_source=share Portfolio: https://glittery-search-d5a.notion.site/My-Portfolio-2914ba21e2d7808aac02eb31bc0420f8?pvs=73 And if you're a small business owner or know someone who needs AI automations or voice agents built feel free to reach out, happy to chat.
1 like • May 25
I tried it all too. What worked for me was going to business meet ups within my community. Hope this helps
1 like • May 25
@Aditya Bisht Tiktok posts and tiktok live content works for some people. I haven't tried it but it seems to be a great platform for quick connections.
1-2 of 2
Juan Zuluaga
2
15points to level up
@juan-zuluaga-3747
Marketer!

Active 16m ago
Joined May 25, 2026
Powered by