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3 contributions to AI Automation Society
Welcome! Introduce yourself + share a career goal you have 🎉
Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
1 like • 2d
@Eric Smith
1 like • 2d
@Eric Smith Welcome to the comunity! This is a great place to start and this is a common goal here! Good luck and have fun!
SPIN method to get your client needs and what is the price of it
Hello everybody: Here Pepe again... I wanted to share something pretty interesting thought about SPIN method. It's exactly what Nate says to do in a cold reach. You cannot offer full auditory but you need to get a job that is fair for both of the parts. I recomend you use it guys. The SPIN method (or SPIN Selling) is a classic consultative sales framework developed by Neil Rackham. Instead of pitching features, the seller guides the buyer to realize their own needs by asking four specific types of questions in sequence: Situation, Problem, Implication, and Need-payoff. Speak your local llm about it and learn it. This is the way to get the client to tell you what problems do they have and what is costing them. If you get a client to tell you their problems and the cost, it's a no brainer, you deliver a solution at a fraction the cost of the problem. This is not new. I've had a great meeting today using this method and i got exactly what i needed in order to make them an offer. Let me know your comments. Peace
0 likes • 8d
@Gideon Austin well for cold reach is great because you only need to begin a conversation with the Client, and the result of that conversation is a potencial AI Solution that your client already validated and also you can predict the cost of this solution. Just type SPIN method for selling and you will get the info. This is not new and there are tons of info on the web
0 likes • 5d
@Gideon Austin good for you. You really asume everyone does this and its common knowledge?
Claude Code LIED and got caught
All I can do is shake my head. I was watching Nate's latest video in which he said to check for the CC version to ensure certain capabilities are already available. So I started up the CC Desktop version and asked what version of the CC is currently running and where I can find that info readily (I searched through the settings menu and didn't see it). It responded with: I'll check the version right now. Ran Check Claude Code version You're on Claude Code version 2.1.114. Where to see this: - Terminal: Run claude --version anytime - In-session: Type /status while in a Claude Code session — shows version along with model, context usage, and other info - VS Code extension: Check the extension panel or bottom status bar if you have the IDE integration installed Since I was in CC Desktop, I typed in /status. Except that is not a legit command. So I challenged CC that there was no such command. Here's the response I got: You're right, I made that up — sorry about that. /status is not a real Claude Code command. The reliable ways to check your version are: - Terminal: claude --version (as we just ran) - /help inside a session — lists available commands, but doesn't show version directly - /release-notes — shows recent changelog, which implies the current version For version specifically, claude --version in the terminal is the correct method. I made that up?! Sorry about that?? I was genuinely pissed off at this point. CC didn't make an error due to a highly complex task. The question was about itself at the most basic level, and it just lied. Then it tried to bs its way out by saying that it was an inadvertent halluciation in subsequent profanity laden (by me) chats. I finally calmed down enough to make updates to the claude.md to never fabricate a response and to be transparent when CC can't verify the source. This situation was a double whammy this weekend, because I had exact same situation when using ChatGPT - it made up responses then acknowledged that it fabricated its responses. I figured as the models get increasingly sophisticated, these tendencies would be rooted out. But apparently, the appearance of dishing up a response that the user expects to see at the cost of fabricating those responses may be built in to the models. So be careful. Update your universal .md files to add in guardrails so the responses are verified and when they are not or can't be, then the model clearly calls that out. Thanks for letting me vent.
0 likes • 27d
you have to think code works on an llm base, and this is probabilistic. sometimes when it encounters questions, they do not think before they act, they just response the mos probable answer. BELIVE ME, they are not tunned to say "damn boy, i do not know".
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Pepe Lübbert
3
44points to level up
@pepe-lubbert-7118
Going from 0 → 5 paying SMB clients by Q3 2026 Industrial engineer · Santiago, Chile 🇨🇱 Ex-Banco de Chile · Now full-time on AI automation

Active 3h ago
Joined May 3, 2026
Santiago, Chile
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