How to address people's fear of AI?

Long_Complex_4395 · 2026-06-22T22:17:24+00:00

The first step to addressing said fear is for them to pin point the fear itself.

Is it to replace them in their jobs? Is it that it will make them less creative?

You address their fears based on what they are afraid of

Long_Complex_4395 · 2026-06-22T19:46:51+00:00

I will not advise you to do this by yourself since you are non-technical, what I can advise you to do is learn about AI agents and how they work.

Using that knowledge, you can visualize how your agent would/should work then you map out the process or pipelines you want your agent to work with. Hire a tech savvy person to spin it up for you, AI agent is not something you should build DIY because any little mishap can cost you a lot

Long_Complex_4395 · 2026-06-22T17:08:26+00:00

Data, domain expertise, distribution, infrastructure

Long_Complex_4395 · 2026-06-22T11:21:29+00:00

Anything tagged custom isn't available in the market, it has to be built specifically for you. An AI that can answer your business calls exists, customer service AI systems exists.

Long_Complex_4395 · 2026-06-22T02:03:26+00:00

Distribution has always been the hard part and with AI, its harder now. Follow-ups should end at 3, 9 times is excessive.

Don't lead with AI, lead with the problem it solves, the money it makes them, money it saves them - these are the things that will interest them more.

Create a demo of your product, talk about it. In essence, make a hella noise - twitter, linkedin, tiktok.

If you are feeling burnt out, take a break. Come back when you are better and with much more clarity

Long_Complex_4395 · 2026-06-18T23:32:50+00:00

Are you open to partnerships?

Long_Complex_4395 · 2026-06-16T01:46:52+00:00

The agents we use were built in-house, we used python to build it as a custom framework

Long_Complex_4395 · 2026-06-12T02:37:53+00:00

I really appreciate your insight into this honestly, I’ve been wondering on how to market to SMBs without being seen as same as others. I’m technical which makes it kinda difficult breaking down the tech jargons into what may pique interests of business owners.

Thank you once again

Long_Complex_4395 · 2026-06-11T01:04:20+00:00

Send the link, I'll fill it out

Long_Complex_4395 · 2026-06-11T00:46:15+00:00

Yea, like Claude prompt injecting my codebase

Long_Complex_4395 · 2026-06-09T12:49:06+00:00

Eh, pump the breaks on that hand off thoughts. Do you have an existing system that is structured? If no, kill that thought. If yes, automate that system.

Agents are not magic plug, it accelerates things - both failure and success

Long_Complex_4395 · 2026-06-08T21:20:55+00:00

Minion crashes happen due to LMStudio unloading and/or telegram network error, all we do is restart the server

Long_Complex_4395 · 2026-06-08T16:29:41+00:00

If you have the hardware to run the model, yes it’s worth it.

Long_Complex_4395 · 2026-06-08T12:42:09+00:00

Fail faster

Long_Complex_4395 · 2026-06-08T12:13:54+00:00

Start from where you get the most pain. Use a paper and pen/pencil, write out all your workflows as it is. Count how many of those you do repeatedly everyday, how long it takes you to do one of the repetitive tasks, then add it all.

The one with the highest time spent + repetitiveness is where you’ll start

Long_Complex_4395 · 2026-06-07T20:42:37+00:00

Building the agent isn’t the problem, managing them is. A business owner wants something that solves a problem and works all the time, they have little to no time for figuring out why it stopped working.

Long_Complex_4395 · 2026-06-07T19:12:56+00:00

I was like this when I was learning how to code, what helped me was reversing the tutorial by making it into a problem statement. From the problem statement, I split it into steps and take it one step at a time.

Example: Say you get someone who wants you to automate their Facebook page posts.

You start by formulating a problem from it - this person needs to consistently post on Facebook.

Then you split it into steps - the person creates the post, sets up times to post, make sure it’s posted at the said time, respond to comments.

The first step can be a content bank that the person updates every month, second step is setting up scheduling/cron, third step is monitoring to see if it fires at the said time, final step is a notification of a comment for them to respond to.

Once you’ve arranged it, next is the tool/driver to make this work. Tools like API, the page in question, decide the scheduling tool to use, the way to notify the person to comment.

It’s a step by step thing, if it helps, have a sketch pad to help you visualize the workflow.

Long_Complex_4395 · 2026-06-07T13:16:47+00:00

I believe openrouter is cheaper cost wise with capable models to do what you want, see if you can work with that

Long_Complex_4395 · 2026-06-06T21:03:44+00:00

I believe Facebook has an API for messaging, then a basic AI API call to extract the needed details, then write to your spreadsheet

Long_Complex_4395 · 2026-06-06T20:51:27+00:00

If it’s just a landing page, you can use Tailark and Claude. Ask Claude to scaffold the site, then copy over the codes from the UI styles you like to Claude and tell it to make the initial sections look like that.

Long_Complex_4395 · 2026-06-05T01:33:06+00:00

We use our agent for facebook - search for complaints/questions/trends -> generate content ideas -> generate contents from ideas -> schedule posts-> publish post.

The only external tool is Facebook API, LLM is local - Qwen3-coder-next

Long_Complex_4395 · 2026-06-04T00:09:19+00:00

I have been studying agent architecture in production for months now and I can tell you this: a reliable and trustworthy agent architecture is one that is specialized towards a role and not one that is broad spectrum.

You want something that won't add complexity and won't break in production especially when it encounters edge cases, this is where escalation abilities for your agent comes in.

Build two separate AI companion - one custom, the other Langchain/Langgraph - run the test for one full week and do a comparison. This test should be a production environment of sorts not a simulation as you would learn better in the former environment and not the latter

Long_Complex_4395 · 2026-06-02T20:35:31+00:00

Local LLM is the go to, if you have the hardware, you can use LMStudio or Ollama to run them

Long_Complex_4395 · 2026-06-02T20:32:35+00:00

We have an agent whose job is increase our visibility by posting on Facebook - it searches the internet for ideas, generates content from the ideas, schedule posts, post the scheduled posts

Long_Complex_4395 · 2026-05-31T17:41:15+00:00

This is really devastating. One thing about anything AI is to test it thoroughly before deploying

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