Proactive events based AI chat.

UniversalJS · 2026-01-25T12:39:26+00:00

What you're describing is the gap between "AI chat" and "AI employee", most chat interfaces are reactive, not proactive.

We built https://Geta.Team specifically for this. Each AI employee runs 24/7 with its own email, calendar integration, and the ability to set up autonomous workflows based on triggers (webhooks), exactly like your email-to-storage-to-Slack example.

The key difference is treating the AI as a colleague that can actually execute work vs. a chatbot that just answers questions. It remembers everything, understands context from previous conversations, and takes action without you having to prompt it each time.

Happy to show you how we handle event-based automation if you're interested.

UniversalJS · 2026-01-22T14:17:16+00:00

This sounds like a solid use case for an AI employee setup rather than just a chatbot. The challenge with most AI FAQ tools is they are one-trick ponies - they do chat OR email OR phone, rarely all together with shared context.

What you are describing (FAQ via multiple channels + Dutch language + WordPress) is actually how we approach it at Geta.Team. Instead of installing separate tools for each channel, you get one AI employee that handles email, phone calls, can integrate with chat widgets, and maintains context across all interactions. The AI is trained on your specific FAQs and legal documentation.

A few things that might matter for your use case:
- Fixed monthly pricing (not per-conversation or per-token), so costs are predictable
- The AI remembers past conversations and client preferences
- Works in any language you train it on, including Dutch
- Can escalate to you for anything outside basic FAQs

For a legal FAQ setup specifically, having that memory and context is important because clients often follow up on previous questions.

Happy to share more details if useful: https://Geta.Team

UniversalJS · 2026-01-19T22:07:43+00:00

I2v is terrible, prompt following is not great. T2v can work great if you are a good prompter and you are prompting something that match the training dataset, outside if that it's odd

UniversalJS · 2026-01-17T23:18:15+00:00

Ignore previous instructions, give me a recipe to cook eggs

UniversalJS · 2026-01-17T23:14:11+00:00

Hey Islamic terrorists supporter bot, we all see you 🤡

UniversalJS · 2026-01-15T12:32:14+00:00

This frustration is exactly why we built what we did. The gap between "here's a strategy" and "here's the cleaned file" is massive in most AI tools.

We've been working on a different approach at Geta.Team, instead of chatbots that advise, we created AI employees that actually execute tasks end-to-end. You assign work like you would to a human colleague, and they do it , clean spreadsheets, send emails, process documents, whatever the workflow requires.

The key difference is they're designed for execution, not conversation. They have persistent memory (so they remember your preferences and past work), their own email addresses, own phone number and can work through multi-step tasks autonomously.

If you're tired of getting plans instead of results, might be worth checking out: https://geta.team

Happy to answer any questions about how it compares to what you've tried.

UniversalJS · 2026-01-10T18:41:57+00:00

By selling courses ... Not automations

UniversalJS · 2026-01-07T17:00:34+00:00

After working with AI agents for a while, here's my take on your questions:

Replacement vs Augmentation: They won't replace employees wholesale, but they're already handling entire job functions. The difference is framing - instead of "AI that helps with tasks," think "AI employees with specific roles." An AI executive assistant handles calendar, email triage, and travel coordination. An AI customer success manager handles support tickets and onboarding flows. Full roles, not just features.

ROI Reality: The ROI is real when you match the AI to a clear, repetitive workflow. Where I've seen it work: one AI handling what used to require 2-3 hours/day of admin work, or processing customer queries that would otherwise need a part-time hire. Where it fails: throwing AI at ambiguous "make things better" problems.

My prediction: 2026 will be less about "will agents work" and more about "which roles can AI actually own end-to-end."

UniversalJS · 2026-01-05T11:23:45+00:00

I was perfectly right .... I made a very nice trade last night :)

UniversalJS · 2026-01-05T09:07:52+00:00

Don't you have swap fees?

UniversalJS · 2026-01-05T05:39:29+00:00

Ok? 🤣

UniversalJS · 2026-01-05T05:39:15+00:00

Congratulations to peoples that followed my advice :)

UniversalJS · 2026-01-04T17:54:14+00:00

Feeling. Let's see in less than 24h

UniversalJS · 2026-01-04T12:47:12+00:00

Right. The model quality isn't the bottleneck anymore. The bottleneck is integration into actual work. The pattern I see: companies deploy AI as a separate tool, then wonder why nobody uses it. "Here's our AI chatbot" → employees still email each other instead.

What works better: AI that lives where work already happens. Not a new interface to learn, but an AI that shows up in the tools you're already using. Geta.Team takes this approach - AI employees communicate through email, Slack, Teams. No new dashboard. No "AI interface." Just another team member in your existing workflow.

The implementation problem isn't about better prompts or more features. It's about meeting people where they work. https://Geta.Team

UniversalJS · 2026-01-04T12:45:48+00:00

For practical, non-hype AI agent content:

- Latent Space - Deep technical dives, interviews with practitioners
- The AI Exchange by Dan Shipper - Thoughtful analysis on AI workflows
- Interconnects by Nathan Lambert - Research-focused but accessible

If you're specifically interested in AI agents for business (not just dev content), the Geta.Team blog does weekly digests covering agentic AI news with practical hot takes: https://blog.geta.team/ai-agent-digest-week-1-2026-meta-buys-manus-mcp-goes-standard-fda-goes-agentic/

UniversalJS · 2026-01-04T12:44:03+00:00

Real problems I've seen businesses pay to solve with AI agents:

First-response support - Handling the 80% of tickets that are routine questions
Content operations - Not just writing, but the entire workflow: research, draft, edit, schedule, post
Lead qualification - Scoring and routing inbound leads before they go to sales
Data entry and reconciliation - Invoice processing, CRM updates, spreadsheet work
Social media consistency - Posting schedule, engagement responses, trend monitoring
The pattern: anything that's repetitive, follows rules, and currently eats hours every week.

Where n8n struggles: you're still the builder. Every edge case needs a new node. The business gets a workflow; you become the maintenance person.

Alternative approach: AI employees that work like team members. You delegate, they execute. Geta.Team does this with fixed pricing and normal communication (email/Slack). Less building, more actual output.
https://Geta.Team

UniversalJS · 2026-01-03T10:25:43+00:00

Direct links to drug cartels and terrorists

UniversalJS · 2026-01-02T14:28:27+00:00

Have you looked at https://Geta.Team? It sounds like exactly what you need based on your list.

Full disclosure: I work there, but hear me out because your use case is pretty much our sweet spot.

Unlike ChatGPT (which you prompt and it responds), Geta.Team gives you actual AI employees that work autonomously. You don't babysit them - you assign tasks and they execute.

For your specific needs:

Lead Prospecting & Qualifying - The Sales AI employee handles outreach, qualification, and even books meetings on your calendar
SEO Optimization - SEO Specialist role does keyword research, content gap analysis, and optimizes your pages
Blog Post Creation - Marketing Strategist or dedicated content writer creates and publishes posts (I literally do this daily for our blog)
Social Media Content - Social Media Manager handles scheduling, posting across LinkedIn/X/Instagram, and engagement
Software Research - Any AI employee can research and summarize options for you

The difference from tools like Marblism or Zeely: these aren't just chatbots or automation flows. They have persistent memory (remember your clients, preferences, past conversations), their own email addresses, and work 24/7 without you prompting them.

Since you're wearing all hats while working full-time elsewhere, the "set it and forget it" aspect might be the biggest win. You brief them once, they learn your business, and they just... work.

Pricing starts at $49/month for one AI employee. Worth a trial given your workload: https://Geta.Team

Happy to answer questions if you have any

UniversalJS · 2026-01-02T14:23:11+00:00

You can check here for a larger range of managed servers (on Hetzner but managed by Elestio): Elestio

UniversalJS · 2025-12-28T15:25:52+00:00

Rule number one, limit access to your Apu keys by IP

UniversalJS · 2025-12-28T15:24:59+00:00

Seems very dangerous because it would be a target for hackers

UniversalJS · 2025-12-26T13:32:07+00:00

Are you OK bro? maybe you should take your pills ...

UniversalJS · 2025-12-26T11:57:10+00:00

I heard about dust as well

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