Monday started with some adventures.
1. Internal CRM agent went down
Our internal agent — the one that can set filters directly from chat on the leads page (for example: “filter all VCs”) — suddenly stopped working properly. The filters just wouldn’t apply.
Most of the day went into debugging. Eventually we found the root cause:
* we recently added support for complex filters by accounts, tags, and exclusion tags
* introduced AND / OR logic along with that
* and that’s exactly where the filter-building logic for the agent quietly broke
The issue is now fixed, and the agent can once again apply filters in the CRM on its own.
2. GitLab randomly banning a developer
At the same time, another odd issue surfaced: GitLab started banning a developer’s SSH access to the repository.
* after a few repo operations, the IP would get banned
* we never fully figured out why it was happening
We worked around it by switching to HTTPS, and everything started working again. No such issues with GitHub — GitLab just decided to “troll” us this Monday.
3. Live tests of the Inbound agent
We’re continuing to observe how our Inbound bot behaves with real people.
Beyond the edge cases, we saw a very telling positive example:
* a lead actively pressured the bot and tried to expose it as an AI agent
* the agent held its ground confidently, joked back, and carried the conversation surprisingly well
A good signal in terms of tone, role consistency, and conversational control.
4. Idea: more sub-agents instead of one “monster”
We’re discussing the next step in the agent architecture:
* right now, the flow uses two agents
* there’s an idea to expand this to four specialized sub-agents
The logic is simple: one massive, multi-page prompt for a single agent tends to degrade execution quality. Splitting responsibilities across multiple sub-agents gives each one fewer instructions, which should (in theory) lead to better compliance.
This is still at the discussion and experimentation stage — it’s not guaranteed that the added complexity will pay off, but the direction looks promising.
If you’re thinking about a CRM for leads and calls — feel free to reach out.
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Quick question,
Do Ai automation developers prefer a marketplace with a small fee on each transaction? Or a subscription based model.
Let me know what we should implement!
Where can I find devlopers of automations/workflows?
I'm trying to work with a few different solo developers of automatons, workflows, etc, but I can only find big firms and companies. If you are or know somebody that is a solo developer shoot me a message. #Automation#n8n#AI
HOLY SH*T..🤯
A legend dropped 1000+ N8N workflows in one repo and I'm literally shaking...
He scraped EVERY workflow from the official n8n site + GitHub.
✅ E-commerce automation
✅ Social schedulers
✅ Lead gen machines, etc.
Workflows worth $10K+ in consulting fees!
FOLLOW + RETWEET + COMMENT “YES” & I’ll send you the FULL workflow + setup FREE!
AI is the first tech shift where the smartest people will lose.
Why?
Because they overthink.
Meanwhile the kid from TikTok runs a 6-agent GPT stack and clears $40K/month selling eCom automations.
Execution > IQ.
If your stuck getting no profits selling your workflows like this?
Well then get ready for the app release of the year. 📈📈
Ai Port August 25'
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EVERYONE should be using this free, open-source automation tool.
Honestly, n8n is so easy to use, the hardest part is deciding what to automate first.
So I made a video to help. I show you how to set up n8n, configure it, and start building your first automations: youtu.be/ONgECvZNI3o@Hostinger#automation#n8n#opensource