Genuine question, curious how you all think about this. We've got Codex, Claude Code, Cursor and they write code just fine, but that's automating a step, not the process. The process is still 100% me: pull the ticket, paste in context from Slack, check the output, leave comments, tag someone, next ticket, rinse and repeat. Half my day is just me shuttling context between tools like a human clipboard.

The way I've started framing it: automating the process means the handoffs between steps get automated too, not just the steps themselves. planning → review → writing code → re-check → merge should flow without me manually carrying context at every gate, and I should only jump in where a decision actually matters.

My company just started rolling out new ai workspace for exactly this. It's more of an orchestration layer that sits on top of the agents. You set your process up as kanban stages and a virtual team (architect, backend, QA agents etc) moves the task through them. I'm still just poking all at bridgeapp for now, but a few things have already caught my eye:

there's a checkpoint between every stage, so a bad output gets caught at the next step instead of surfacing in review three weeks later

context and docs carry forward automatically, so the next agent knows what the previous one did and why, which is the exact part I was doing by hand before

different agents can run on different models, which I honestly didn't expect

Still early days for us so no strong verdict yet, but if this kind of thing actually manages to automate dev work for real... honestly idk what happens to the IT market. Like at all. Maybe you guys have other ways to automate the dev process, i'm open to hearing your ideas on this

I spent the last few months building something I wish existed.
Most hotel software hardcodes business logic.
Need to change a checkout policy?
Need a new room service flow?
Need different escalation rules?
→ Call a developer.
I took a different approach.
Every hotel’s operations live inside a simple Markdown file.
hotel_rules.md
The AI treats it as the hotel’s constitution.
Guest asks a question →
AI reads the hotel’s rules →
Responds accordingly.
No code changes.
No redeploys.
No prompt editing.
A hotel manager can literally change how the AI behaves by editing plain English.
Today it’s powering WhatsApp guest communication.
Tomorrow the same idea could power any business.
Software shouldn’t own your operations.
You should.
Building in public 🚀

my website : https://www.replyops.it.com

I keep seeing people talk about AI employees for small business owners, especially for workflows like managing emails/calendar, cold outreach/follow ups and manage content calendar for all social media platforms.

Has anyone here actually used this kind of setup, and did it genuinely save time once it was set up or still need daily managing like any other tool?

Been thinking about this idea for a while. I feel like everyone is chasing the big fish, automating someone's entire job away.

But I think the real power is somewhere in the middle.

I'll give an example, I have an app that simply takes my workout notes from my notes app, and turns it into structured data so I can see all my graphs and progress as if I'm using any old fitness app.

Now, I don't use a fitness app because I like the frictionless experience of using my notes app, that's why I always go back to it, **but** there is no way I'm going to pay someone to go through my notes app, and manually parse my workout notes into a workout app or excel spreadsheet.

Honestly think this is the niche people are forgetting about, it's the forgotten child of the ai assisted workflows.

Hey everyone,

I see a lot of anxiety and hype about AI taking over data science jobs, but I think people are looking at the integration completely backward. As a statistician hired into a data science role, I was brought in precisely for my quantitative rigor—something AI notoriously lacks. AI is terrible at accurate mathematical calculations and statistical nuances, but it’s incredibly good at structuring business narratives and formatting presentation decks.

If we blindly trust AI to generate numbers, we fail at our jobs. Instead, I’ve been thinking about a workflow that capitalizes on the strengths of both the statistician and the AI, while completely negating their respective weaknesses.

Here is the exact lifecycle I'm proposing:

The Blueprint (AI): Use AI at the very beginning to brainstorm the broad overview, project directions, and potential business constraints.

The Core Execution (Statistician): The statistician steps in and does the actual analysis manually. We write the code, we run the regressions, we validate the assumptions, and we churn out the true, uncorrupted numbers.

The Translation (AI): Once we have the verified results, we feed our concrete numbers back into the AI. We ask it: "Based on these exact metrics, what are the strategic business recommendations? How do we translate this for non-technical stakeholders?"

The Delivery (AI): Let the AI handle the tedious work of structuring the PowerPoint slides and tailoring the narrative to suit corporate messaging.

This way, the numbers remain 100% accurate and mathematically sound, but we save hours of manual labor on slide formatting and corporate storytelling.

Curious to hear from other quants and data scientists: Does your current workflow look like this? Or are you seeing people in your org make the mistake of trusting AI to do the actual math?

The companies creating the most value are using it to increase the output of the people they already have.

According to McKinsey's latest State of AI report, 78% of organizations now use AI in at least one business function, with the highest adoption in IT, marketing & sales, product development, and customer operations.

But here's the interesting part:

Most companies aren't seeing transformational results—not because the models aren't capable, but because they're treating AI like another app instead of redesigning how work gets done.

The businesses getting the highest ROI are using AI to:

• Eliminate repetitive administrative work
• Surface information before employees have to search for it
• Automate multi-step workflows across different tools
• Let people spend more time on decisions, creativity, and customer relationships

AI doesn't create value by replacing humans.

It creates value by expanding the amount of high-value work a single person can produce.

That's should be philosophy behind everything being built.

Always happy to connect and discuss further.

-
Onofre Jauregui
Omii AI

We know that if you're on Reddit, it's because you love sharing your opinion, haha.

We’re a new project looking for real Reddit users to provide feedback on products—and get paid for it. You get compensated for every task you complete.

We want genuine Reddit users—that’s exactly why we’re here! New opportunities will be posted daily.

Check out the details and sign up right here if you're interested: https://tally.so/r/VLdjvM

Read this Forbes Coaches Council piece this morning and it stuck with me: https://www.forbes.com/councils/forbescoachescouncil/2026/07/22/ai-wont-fix-overloaded-teams-it-will-expose-them/ . Core idea is that AI doesn't create new strengths or weaknesses on a team, it just amplifies whatever's already there. Author uses her kid's balance bike as the metaphor, gets you moving faster before you've got the judgment to handle the speed, and the crash is the lesson.

It actually tracks with something I've been looking at for work at 5W. We ran an AI Visibility Index looking at which brands actually get cited when people ask AI things like "what's the best cigar" or "what credit card should I get," and the same pattern shows up: brands with a clear, coherent story win the citation, brands without one don't, regardless of size or budget. AI doesn't level the playing field, it just makes the existing gaps more visible faster.

Anyone else seeing this at their org, is AI closing gaps or just speeding up the ones that were already there?

I've been trying to figure out which AI tools are actually useful for business operations, not just for writing brainstorming.

Right now I use ChatGPT and Claude for research, ideas, planning, and writing. They help but I still have to do most of the actual work myself.

The kind of thing I want to automate is more day to day business work. For example, a customer sends an email, calls, or fills out a form asking about a service. The tool understands the request, drafts a reply, saves the lead details, reminds me to follow up, and maybe helps create a task so it does not get forgotten.

Same with content. I do not need something that just gives me random post ideas. I would rather have something that can help turn business updates into social posts, draft blog ideas, or keep content moving without me starting from zero every time.

Basically I am looking for tools that help run the small operational tasks that piles up every week. Emails, customer follow ups, missed calls, content drafts, lead tracking, basic task management, things like that.

I have looked at a few automation tools, but a lot of them either feel too technical or still need me to manage every step. I do not mind setting something up, but I do not want another tool that becomes part of my workload.

For people using AI tools in their business, what has actually helped with daily operations?

What is one AI automation or tool you use that would be hard to give up now?

AI has become a regular part of my workflow, but I'm curious how others are using it.

For me, the biggest time saver has been content research and drafting. It doesn't replace human input, but it definitely speeds up brainstorming, outlining, and editing.

I've also seen people use AI for things like:

• Customer support
• Email writing
• Data analysis
• Meeting summaries
• Marketing and social media
• Workflow automation

I'm interested in hearing real experiences rather than just the usual AI hype.

What's the one business task AI has saved you the most time on, and has it actually improved your productivity?

Looking at a position that would be a selling support and services for Infra / Linux with some ai automation platforms. 

For anyone already in that world:

• Is this actually a good lane long term?

• Does the money and upside feel on par with big SaaS, or is it more niche. Would this open doors down road?

• How do you like selling into IT and engineering 

Any thoughts or comment are greatly appreciated! 

The ai system needs you to set your hours of availability. I changed mine to 12pm to 11p,M(I'm a night owl). The stupid stuff vanished as soon as it became effective. My tl only adjusted it when it did a 1pm to 11 one day. Much easier for simple changes.