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AI Agents & Vibe Coding

305 members โ€ข $9/month

10 contributions to AI Agents & Vibe Coding
L2 Challenge - Map the Agent Loop to Your Project
In fist lecture you defined your agent project. Today you map how it actually runs. Fill in the blanks for your project and post your 5 lines below: PERCEIVE: My agent reads or receives ___ PLAN: The LLM decides ___ ACT: My agent then does ___ OBSERVE: The result my agent reads back is ___ STOP CONDITION: The loop ends when ___ I will comment on every single submission today. No lurking on this one.
0 likes โ€ข 1d
PERCEIVE: My agent reads or receives a customer support request from email, WhatsApp, or the helpdesk. PLAN: The LLM decides the issue type, urgency, customer account status, and what information is needed to solve it. ACT: My agent then creates or updates the support ticket, searches the knowledge base, drafts a reply, and escalates if needed. OBSERVE: The result my agent reads back is the ticket status, suggested answer, customer history, and whether the issue was solved. STOP CONDITION: The loop ends when the customer confirms the issue is resolved or the ticket is escalated to a human.
First Live Q&A and the 3 Levels of AI Agents
We just wrapped the first live community session. What we covered: 1. Why this community exists, and how Sundays will run from here 2. The 3 Levels of AI Agents: Chatbot (talks), Tool-Using (acts), Workflow (ships a full process) 3. The beginner trap: most people jump straight to Level 3 and stall. Build a small Level 2 first. 4. How to actually start: pick one boring agent that solves one real problem you have this week. Your challenge this week Before next Sunday, post one AI agent idea in the community using this format: 1. Agent name 2. Problem it solves 3. Who it helps 4. Tools it needs 5. What the first version should do I will review selected ideas live next Sunday and help you sharpen them. Recording is pinned in Youtube Resources. If you missed it, drop your question below and I will answer every one in the next 48 hours. What is the first agent you want to build?
First Live Q&A and the 3 Levels of AI Agents
0 likes โ€ข May 18
I missed this one, will join next week.
Stop making your Agent think out loud
Nobody talks about this: the 'thinking out loud' style of reasoning models is mostly noise for production. You don't ship a chatbot that goes 'Let me think... I should consider...'. Strip the chain-of-thought from outputs. Reasoning is useful internally, ugly externally.
0 likes โ€ข May 12
saving the two-step pattern.
Day 30 of my email sorter
Day 30 of my email sorter. now also drafts replies for the 'can wait' bucket. team is using the drafts as starter text. saved each person ~20 min/day they say. wild that the simplest agent in my system is the one that's actually useful.
0 likes โ€ข May 11
boring agents > fancy agents. @Ewan Park was right (again)
Quietly reading and learning here
Been reading a lot over the past few days, especially the failure-story posts (Priya's CrewAI typo, the overbuilt summarizer post). Honestly easier to learn from those than from happy-path tutorials. Anyone else find the failure stories more useful than the polished wins?
0 likes โ€ข May 7
Happy to be the failure-post benchmark lol. there's more coming.
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Priya S
2
13points to level up
@priya-s-9254
Vibe Coder

Active 1d ago
Joined Apr 21, 2026
California
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