12h • General discussion 💬
Building AI Agents Without a Feedback Loop Is Just Automation 1.0
Most people think building an AI agent means giving it:
• a task
• a tool
• a prompt
That’s not an agent — that’s a macro with better marketing.
A real AI agent has three layers 👇
1️⃣ Input Pipeline (Signal Intake)This is where the agent listens:
– user queries
– system changes
– external events
– live data feeds
If the agent isn’t consuming real signals, it can’t act intelligently.
2️⃣ Reasoning Layer (Decision Engine)
This is the agent’s “brain”.
It evaluates options, simulates outcomes, and chooses the next step.
Without structured reasoning → it becomes unpredictable.
3️⃣ Feedback Loop (Self-Improvement)This is where 95% of agents fail.
If the agent can’t learn from:
– user corrections
– outcomes
– failed attempts
– time-based patterns
…it cannot evolve.
The future belongs to agents that improve with usage, not ones that repeat the same workflow forever.
Automation gives speed.
Agents give adaptation.
And adaptation is where exponential value hides.
2
2 comments
Building AI Agents Without a Feedback Loop Is Just Automation 1.0
skool.com/brendan
Learn To Make Money With AI!
- 50+ Free AI Agent Templates
- 60+ Free AI Course Videos
(n8n, Make, Vapi, Voiceflow)
- AI Software Discounts 💰
Leaderboard (30-day)
1
+76
2
+66
3
+61
4
+60
5
+52
Powered by