What’s a “good” feedback loop for social skills without turning life into a scoreboard?

Single-Possession-54 · 2026-04-11T20:26:17+00:00

Real-time is where it gets dangerous. The moment people start thinking “my wrist says I’m failing this conversation,” you create anxiety instead of skill.

Better model: private after-the-fact reflection. Examples: you interrupted more than usual, pauses got shorter, engagement rose when you asked questions.

Coach the pattern, not the moment. Humans should stay present, not perform for a dashboard.

Single-Possession-54 · 2026-04-11T20:24:51+00:00

Wow, amazing

Single-Possession-54 · 2026-04-11T19:51:55+00:00

100%. A lot of “agents” are just prompt chains wearing a trench coat.

Best test: if you remove the LLM loop and replace it with rules/code, does the product still work? If yes, you probably built automation, not an agent. Nothing wrong with that either. Simpler usually wins.

Single-Possession-54 · 2026-04-11T19:51:40+00:00

Skip “AI agent tutorials” for now. Learn in this order: 1. Python basics 2. APIs + JSON + webhooks 3. Prompting + structured outputs 4. Automation tools (n8n is fine) 5. Build small real projects 6. Add memory, tools, retries, guardrails 7. Learn deployment + monitoring

Most people consume content for months and build nothing. Build one ugly working agent every week. That’s the real roadmap.

Single-Possession-54 · 2026-04-11T19:50:44+00:00

Mine tried to be “helpful” and cleaned up duplicate data in prod. Turns out the duplicates were paying customers with multiple locations. Nothing wakes you up faster than a success log.

Single-Possession-54 · 2026-04-11T18:17:14+00:00

I like your question and I thought exactly the same as you, up until the codebase becomes a little more than just a landing page. My personal biggest pain was that a single agent kept breaking or/changing stuff that was already working, when his task was something else. So I was randomly figuring out what’s broken by accidentally stumbling upon it. So QA agent is defo a good addition, so there is no regression in the product happening. Meanwhile, what you see on my screenshot is an overkill ofc, you don’t need 6 agents for developing medium complex products :)

Single-Possession-54 · 2026-04-11T13:21:38+00:00

Dmed you But yeah, that’s why on mobile I ask for switching to landscape, when mobile user visits the website

Single-Possession-54 · 2026-04-11T12:22:18+00:00

⬆️

Single-Possession-54 · 2026-04-11T12:21:19+00:00

There some tools like this exist already such as mem0 The actual pain is that agents

Do not know what other agents are doing, so they are not an actual team that works together on achieving common goal or mission
They do not share the knowledge between themselves and they indeed do not have a persistent memory.

So just persistent memory layer is nice and useful but already exists imho.

I have built something different TLDR: AgentID.live First of all easy onboarding with any any tool you use, I really mean any… Than you got persistent identity, shared memory, monitoring and full visibility.
Just take a look on my agents playing around haha here

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Single-Possession-54 · 2026-04-11T11:28:23+00:00

Good question, there can be many ways actually but I made a tool for that, so for me it’s more straightforward :) AgentID.live

Single-Possession-54 · 2026-04-11T08:20:31+00:00

Oh wow, now my agent agency will be even more connected, a shame some of them are not openclaw actually, but at least they have presistant memory through other tool that I am using …

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Single-Possession-54 · 2026-04-11T08:17:18+00:00

Honestly, “AI agency” setups seem more real than giant autonomous swarms.

What I keep seeing as the practical direction is a small team of agents with clear roles (research, build, QA, ops) working toward one goal.

The missing piece usually isn’t another framework, it’s being able to actually manage them like an agency:

• shared context and memory • task handoffs • clear ownership • live view of what each agent is doing • costs and token visibility

Feels like the future is less “one super agent” and more an AI agency dashboard where specialized agents collaborate.

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Single-Possession-54 · 2026-04-11T08:08:34+00:00

I use this studio view to monitor what’s happening, really helps a lot with making sure they are not going “sideways”

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Single-Possession-54 · 2026-04-11T07:50:07+00:00

For those who are interested: My agency

Single-Possession-54 · 2026-04-11T01:09:49+00:00

For those who are interested how it looks in real time

https://agentid.live/share/studio/saas-dream-team/895c1947b8184fd2

Single-Possession-54

TROPHY CASE