Activity
Mon
Wed
Fri
Sun
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
What is this?
Less
More
441 contributions to AI Automation Agency Hub
My first prospect
So i just landed my first prospect client, and we agreed to do AI chat agent for his home caregiving business, And I literally know nothing about whatsapp agents so i told him that and told him that im gonna master it to do the project for him So i need some opinions guys, its my first client, what should i focus on ?, So far he likes the way i do work and operate but im so lost and nervous to fuck this up TBH And I dont have no one to turn to for advice in such situation except Claude 😂
0 likes • 1d
@Osama Kamal Sure. It means every account the agent runs on belongs to him, not you: the Meta Business Manager and WA number, the LLM API account (OpenAI, Google AI Studio, Anthropic, etc.), and the automation platform (n8n, Make, or whatever you use). He signs up with his own email and card, then adds you as an admin or team member so you can build inside it. The reasons are practical. You're not paying his usage bills or chasing him to reimburse you. If the working relationship ever ends, he keeps a working system and you just lose access, which makes you look trustworthy rather than like you're holding his business hostage. It also makes the maintenance retainer an easier sell, since "it's on your account, you own it, I keep it running" is a much better pitch than "it's on my server."
0 likes • 8h
@Osama Kamal He pays the tools directly and he pays you separately for your work. Those are two different bills. The tool costs go to OpenAI, Meta, n8n and so on. What you charge is for building it and keeping it running, usually a one-off setup fee for the build, then a monthly retainer for maintenance, monitoring, fixes, or others when something breaks or an API changes. You just invoice him for that directly. It's actually cleaner this way, since your price reflects your work and doesn't get mixed up with his usage costs.
I am stuck at making the AI automation precise
I am making an AI Automation where I need to make a summary for a report and submit it via PPT to the end user so I have made it but it's not accurate report generation and I have tried the prompting technique but it's not working but I have noticed that the data is not completely labeled like there are some metrics that are unknown from the platform so it cannot actually understand it entirely so my question now is that how do I tend to that like what options could I have one is to drop of those metrics from the experiment (it's from the field of digital marketing) or shall I ask the client to actually help me identify those metrics or what more options do I have For refrence I have structured the data for the server side of the job it's just the unlabeld part of it that is the issue here I have made it using make.com and fastapi server (via code) it's a hybrid setup workflow
1 like • 8h
Ask the client. Guessing what an unlabeled metric means is exactly how a report ends up confidently wrong and dropping them risks leaving out something they actually care about. Build a simple data dictionary with them, one line per metric covering what it means, how it's calculated, and whether higher is good or bad, then feed that into the prompt or map it in your FastAPI layer. For any metric that shows up later and isn't in the dictionary, have the workflow flag it in the report instead of letting the model interpret it. I'd also make sure all the calculations happen in your code rather than in the LLM. Let the server compute the numbers and comparisons and use the model only to turn those results into a written summary. That split usually fixes more accuracy problems than any prompting technique.
Can a non-technical background person (me) be an ai builder?
I come from a B2C sales background. However, I want to learn to build AI automations to create a safer future path. To be honest, I want to leave sales if possible. But while looking at the path: "What's your background? Sales, marketing, consulting, coaching? → Consultant Development, IT, engineering, or just love tinkering? → Builder" I am confused. So I would really appreciate an honest closure that "yea, it doesn't matter" or "an IT background is much better to be a good builder."
2 likes • 9h
Yes, definitely you can. Most AI automation is built on no-code platforms like Make or n8n, so what you actually need is logical thinking, a basic grasp of how APIs pass data between tools, decent prompting, etc. An IT background gives you a head start on debugging and technical concepts (but it's a head start, not a requirement). All of that is learnable in a few weeks by building real workflows. I'd just read that path as a suggestion for where to start, not a limit on where you can go. And I'd think twice before treating your sales background as something to leave behind. In this business, building is usually the easier half. Finding clients, understanding their problems, and getting them to say yes is where most builders struggle. That's exactly what you already know how to do.Good luck for your AI journey.
Help an college student (me)
Hello community I’ve just started on this journey of learning about AI automation Currently I’m pursuing a degree in an community college But I’m here cause I want to ask the experienced for any tips or directions you may have that may boost my learning my goal is to within the next year start my ai agency
0 likes • 9h
Welcome. I'm running my agency while finishing my degree too, so you're in a better spot than it might feel like. The main thing I'd tell you is not to spend the whole year just learning. Pick one automation platform like Make or n8n, build one small workflow end to end, and then start talking to real small businesses early, even if it's only to ask how their week runs and what eats the most time. That's where you find out what's worth building and it teaches you far more than tutorials do. On balancing it with college, expect your attention to be split, so keep things simple. One platform, one type of business, and a few hours of consistent work each week will get you further than trying to do everything at once. Starting this while you're still in college puts you way ahead of where most people begin. Stay consistent and a year is plenty of time to land your first clients. Good luck on your journey, man.
Day 6 Onboarding page complete
Day 6. Finally got the onboarding page complete and have ordered the business cards. Day 6 was kinda slow especially because I lost momentum on Day 5 but im getting that momentum back. Im gonna start outreach in the next 3 days no matter what. The next 2 days i will be making sure everything is refined and on par before i start outreaching.
0 likes • 9h
Getting the momentum back after a slow day is harder than it sounds, so that's solid progress. Onboarding page done and cards on the way means you're almost there. Locking in a hard date for outreach is the right call. Good luck btw.
1-10 of 441
Jordan Tandi
6
918 points to level up
@jordan-tandi-9766
I run an AI automation agency for small-to-medium businesses in Indonesia, NexType.

Active 8h ago
Joined Sep 4, 2025
Indonesia
Powered by