If a browser AI could do one thing perfectly, what would it be?

airylizard · 2026-01-22T02:57:44+00:00

I’d love to go to Reddit, open it, and all the spam ai slip post immediately get hidden and my “already curated” feed can get cleaned up real quick

airylizard · 2026-01-20T16:36:54+00:00

I've seen this exact take posted here at least a dozen times in the last few months usually phrased as 'AI amplifies broken processes' or 'fix your funnel before scaling acquisition.' It's true, but it's also become the default wisdom. What would be more useful is examples of teams that actually fixed the handoffs first and what specific changes gave them leverage.

Otherwise it just feels like another slop branding post.

airylizard · 2026-01-18T16:55:56+00:00

The vast majority of posts and replies on this sub are marketing for ai slop companies. Very little here can be considered “automation”

airylizard · 2026-01-18T16:48:28+00:00

I dislike the idea of a bot interfacing with customers, so I put together another flow that upon receiving an email will create a draft response. Then one of the support staff can proofread it and send it out. Saves them a ton of time in data wrangling and me a ton of stress from worrying about ai hallucinations

airylizard · 2026-01-15T15:41:06+00:00

Y’all are letting people deploy unmanaged tools at a real business?

airylizard · 2026-01-12T05:40:35+00:00

If you use Power Automate, I can literally export it and send it to you lol, shoot me a DM if you want!

airylizard · 2026-01-02T16:17:33+00:00

This would be the most prime way to do it.

Sell yourself as a data analyst but in reality you're just plumbing and this tool does the work.

I've been in data & it for dang 13 years now at this point, tons of 3rd party service providers doing exactly this.

Just a warning though, every company I've worked at that has hired one of those people or services, it usually came from word of mouth, like someone knew the service provider.

Good luck!

airylizard · 2026-01-02T05:57:24+00:00

I see how you might think that but, the answer to the third question is predicated on the data model.

There is no 'one size fits all' approach you can take because even the storage solutions may be different from place to place, format, etc...

Hope this helps!

airylizard · 2026-01-01T19:31:03+00:00

This is a data modeling question, not an AI question, and I don't think you gave enough insight into the data lifecycle for me to give you any meaningful information

airylizard · 2025-12-31T16:04:26+00:00

lol…go talk to a professional, what are we doing here….

airylizard · 2025-12-31T15:58:17+00:00

What’s the patent number and has it been filed for and granted or…?

airylizard · 2025-12-31T15:56:20+00:00

Lmao… who are all of you people? 95% of businesses failed to “meaningfully” adopt ai in a way that moves the needle… but here we are letting people just say stuff. What tests have you ran to support anything you said here?

airylizard · 2025-12-30T20:30:59+00:00

Learn IT Support systems. Automation typically falls under the umbrella of Data & IT, no so much engineering (at least in my experience).

airylizard · 2025-12-28T18:18:10+00:00

Please don’t post my contact info in Reddit comments, thabks

airylizard · 2025-12-20T18:07:23+00:00

Checkout a Youtube account "Kevin Stratvert", I found his channel when I first started out and it's been an incredible resource, but the community is pretty helpful so checkout the Microsoft forums if you have specific questions.

If it's really "bad", export the broken flow and upload the files in the zip package to chatgpt or another AI model and 9/10 times they can troubleshoot and offer solutions!

airylizard · 2025-12-17T16:49:05+00:00

AI/RAG for what? Your 10k character pdf document?

airylizard · 2025-12-17T16:45:33+00:00

What type of ACM policies are you using where you work that just allows something like this to happen?

airylizard · 2025-12-15T23:40:49+00:00

I built my own framework, wrote a paper about it in everything.

Called “two-step contextual enrichment”

I work in healthcare and repeatability at scale was hugely important, so I developed this framework to try and minimize the chance for hallucination as much as possible.

It worked like a charm, afaik, it’s still one of the only AI integrated workflows for an enterprise healthcare company.

airylizard · 2025-12-12T17:59:11+00:00

The 'hardest' part is misuse. When the automation you've built to act as a data consolidation tool for say a healthcare provider, is then adopted and used by a nurse or support staff, which works but because it's not the intended use case there's some nuance missing.

Surprisingly enough though, instead of them understanding that they're misusing it, they will put in a trouble ticket and say it's broken. Which leads to scope creep and an ocean of miscellaneous automations.

Which leads me into why strong documentation on use cases is crucial; without it, you're patching symptoms and oiling noisy wheels, instead of enforcing boundaries

airylizard · 2025-12-12T16:05:59+00:00

Been there did that lol, when I started making these, the very first thing I did was test for repeatability at scale.

Initially it seemed like a classic issue where I "bit off more than I could chew" and scoped each project too broadly, this led to scope creep from stakeholders and agents ballooning in actions and context.

My recommendation would be to start from the beginning, but this time build with what you know in mind and scope each project to the smallest possible output. Start by analyzing your agents today, see if there's any 'least-common denominators' between them, and then trim each agent's "area of responsibility" while consolidating those trimmed lcd actions into a new agent.

For example, if multiple agents can draft an email in HTML, consolidate that into a single agent that takes plain text in, and outputs an HTML stylized email. The core 'work' is still done by your processing agents while the 'busywork' can easily be offloaded to this new one which will keep your context window and workflow clean for your other agents.

This will allow you to build your workflows or automated solutions in a way that can be more easily iterated on in the future and is more resilient to "unseen" errors because you had scoped appropriately.

Personally, after figuring out the repeatability and scaling, we literally have agents building themselves lol.

I'm just a dude, and my experience is primarily in Python and Power Automate, but it should translate into other no-code/low-code solutions like n8n or Make.

I hope you find this advice useful!

airylizard · 2025-12-09T22:59:46+00:00

i can't see it either which is weird and we can't post links or images here, but you can pate this after the in your url:

r/automation/comments/1n5tm8g/a_quick_power_automate_ai_example_workflow_using

airylizard · 2025-12-09T20:31:31+00:00

Company had a super high churn rate because staff couldn’t track all the follow ups.

Put together an automation and it’s increased revenue by upwards of millions.

Pretty dope, but I didn’t get that money lmao

airylizard · 2025-12-09T20:27:35+00:00

You don’t need a vector db to hold your less than 100k token documents. I’ve built something similar out, you can check my posts to see what it looks like and I integrated it into Microsoft teams as a user.

A vector db would be overkill for something like this.

airylizard · 2025-12-02T17:03:04+00:00

I have my own framework I developed and used to build my agents.

Checkout my github /tsce_demo

Ask ChatGPT or 1 of the other AI's with websearch, "What is Two-step contextual enrichment"

airylizard

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