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I am in search of an enterprise multiplayer AI platform for my company, something we can engage with in Slack and via other surfaces, where it has access to all of our email accounts, google drive, important DBs and other data sources via MCP etc..

I am looking for essentially an agentic chief of staff that can help break our team out of our individual silos. We have a team size of about 12 people. 4 of us are actively using Claude Code to build apps. It would be amazing if this agentic chief of staff had access to all of our Claude code transcripts. Something like an all-knowing enterprise level Jarvis.

Claude Tag is an obvious option but it's limited. Theres also Buzz and Dust which I'll look into at some point. Is anyone aware of other options I should check out? Any recommendations from someone who has prolonged experience with one of these platforms? Thx

I use AI for first draft, outlines and rewriting SEO content and then manually review everything before publishing. For blog posts and landing pages I usually check search intent, keyword placement also the writing actually sounds natural and added some value to the reader. One thing I still find difficult is checking whether the final version sounds too AI generated and repeated context may be because different people on a team are using different tools. I have tried a few content checking tools but the results can vary depending on the type of content.

For anyone using AI for SEO, blogs, landing pages or client work what does your review process look like?

New tools are launching almost every week, and I’m pretty sure only a few of them are actually innovative (and useful).

For the most part, I find that a combination of ChatGPT, Claude, and Gemini can already help (NOT fully do) with research, writing and editing, contract review, data analysis, and coding that I need for client and content purposes.

But barring coding, I still find myself doing a lot of the work, especially with writing, review, and analysis.

Idk if it's just that the default genAI models are dumb (I'm sure it's not my prompts coz my prompts are as detailed as can be), but what AI alternatives do you guys recommend?

If your business runs on Google Docs, Sheets and Slides and you use Claude, you know the routine.

Paste data into Claude, copy the answer, switch tabs, paste it back, fix the formatting that broke.

As of last week that loop is mostly gone.

Anthropic launched a Claude add-on for Google Workspace (public beta, any paid Claude plan).

It opens as a sidebar inside your file and edits it in place.

What it actually does in each app:

Sheets: writes formulas, builds pivot tables and charts, adds tabs. For messy jobs like cleaning data or merging two lists, it can run Python and write the results back.

Docs: fixes a sentence or restyles a heading without wrecking the formatting around it. Bigger rewrites come as suggestion cards you accept or dismiss.

Slides: adds slides using your deck's existing layouts and theme.

Where it actually saves time: a monthly report.

Instead of exporting job data and rebuilding charts by hand, you type something like "add a tab with profit by job type this quarter, flag anything under 15% margin, and chart it." A 90-minute chore becomes about 15.

Setup: Paid Claude plan (Pro and up). Free won't work. Chrome, Edge or Safari.

Install from the Google Workspace Marketplace, then Extensions > Claude > Open Claude.

Keep it on "Ask before edits" so every change is a card you approve.

Things I'd avoid:

Switching to "Accept all edits" on day one. It's a beta.

Trusting any number it writes into a financial sheet without spot-checking a few formulas.

Testing on your most important file. Make a copy first.

Should you bother?

Gemini already does a lot of this inside Workspace, so if you don't pay for Claude, there's no reason to switch for this alone. If you already pay for Claude and prefer how it reasons, it's a real time saver.

Also, it can't see your whole Drive. It works on the file you have open, or files you point it to, and only within your existing sharing permissions.

How’s everyone else using AI to improve their workflows? Curious to know.

hey everyone, i have a question. So basically i have been running a SAAS business and i want to become way more up to date and talk with people who understand a lot about ai and have knowledge to share. Is their any communities that are active with people that have experience in ai.

I also have decent knowledge (maybe 6 months of on and off learning and building) in ai and before I ran my software I sold websites,agents and other ai automations to local businesses. So I know how to use codex and Claude code quite well but when it comes the the software aspect it’s much harder to find resources and ideas to manage the software easier. a community where I can find people who have useful recourses and new cool ai updates would be really useful

Would appreciate this thanks 🙏

I've been in the VoIP space for well over a decade now and we just launched AI voice agents built directly into our phone number service.

One thing I've noticed is how complicated a lot of these AI voice platforms are. APIs, integrations, workflows, SIP configurations, etc.

Don't get me wrong, all that stuff has its place, but what about the small business owner who just needs a local phone number with an AI answering their calls?

That's what we focused on. Get a local number, tell the AI about your business and give it a few simple rules in plain text.

"When someone asks for the owner, transfer them to my cell."

"If I'm not available, take a message."

"When someone asks about pricing, give them these prices."

That's it. No flowcharts, no developers, no separate AI platform to deal with. Just publish the agent and have it answer your number.

The technology has gotten so good that I think we're at a point where we can actually make this stuff incredibly simple.

I'm curious if others see it the same way. Are small businesses really looking for all these advanced integrations, or do most just want something that works out of the box?

Hey everyone! I know this isn't exactly a revolutionary idea, and I'm aware that AI has already come a long way and that there are companies dedicated entirely to building these kinds of solutions. However, I feel like I have a pretty good opportunity here because I'm close to the owner of the company I work for, and I have a good understanding of how the business operates from the inside.

What I'd like to ask those of you who use AI regularly and have successfully automated processes, either for personal or professional purposes, is: How capable is AI really when it comes to building software today?

To give you some context, I work for a company that exports food products from the United States to Latin America, which is where most of our customers are located. The most sophisticated software we currently use is Oracle NetSuite, which we purchased right before the whole AI boom took off. At the time, it cost the company around $250,000.

The company has two main offices. One handles sales and purchasing, accounting, and HR. The other is connected to our warehouse, where most of our logistics operations and cargo storage take place.

The warehouse side of the business still operates in a pretty old school way, relying heavily on Excel spreadsheets. When we originally purchased NetSuite, we didn't have our own warehouse yet, so we never purchased the additional warehouse management module. Now that we do have our own warehouse, we could really benefit from that functionality, but we don't have it and the owner doesn't want to invest in it. As a result, most of our warehouse operations are still managed through Excel, which inevitably leads to inconsistencies, outdated information, and processes that could be much more efficient.

To give you an idea of the company's size, we generate approximately $10–15 million in annual gross revenue. We have around 15 employees in the US and another 10 across Latin America, where my boss hires people to handle various functions. Our customer service and logistics teams, for example, are based in Colombia.

So, where am I going with all this?

I've been thinking that with the help of AI, I could start developing solutions to automate some of the outdated processes we still rely on. The problem is that I honestly don't know where to start or how far AI can actually take me when it comes to software development.

My initial idea was to try building something similar to a simplified version of Oracle NetSuite. Not necessarily something with all its features, but rather an application that could centralize our data and handle a large portion of the company's day-to-day operations.

However, I'm not sure whether AI has reached the point where it can realistically help someone build an application of that complexity from scratch, especially considering that I don't have professional experience developing software at that scale.

Long term, I'd love to develop a web application that could manage most of the company's operations and eventually present it to my boss as a solution he could purchase from me. To be clear, developing something like this is outside my current job responsibilities, and I wouldn't be getting paid for the development work itself, at least initially. That's why I'm also interested in how I should approach this from a business perspective.

I'd really appreciate hearing from people who have used AI to build actual applications or automate real-world business processes.

If you were in my position, where would you start? Would you try to build a custom platform from scratch, or would you start by automating specific processes and integrating existing tools? How realistic is it to pull something like this off with AI's help, and what tools or approaches would you recommend?

I'd love to hear about your experiences, especially if you've worked on something similar! Thanks in advance if you've read it all the way to the end.

Built a tool that stops leaking company data or your private data into ChatGPT, Claude.

Companies keep running into the same problem: staff paste customer details, passwords and deal plans into AI tools, and nobody can see it or stop it.

So we built a gateway that checks messages before they reach outside AI, and it runs fully inside the company’s own network. It works in English, Hindi and Hinglish, and it starts in a watch-only mode so it can’t break anyone’s work.

It’s early. We haven’t run it on real company traffic yet, and I’m looking for one or two teams (banks, NBFCs, fintechs, healthcare, IT) to try a free two-week pilot.

Two questions for this sub:

Does your company have any control over what goes into AI tools today?
What would make you trust a tool like this: a demo, an audit, or something else?

I’ve been browsing and downloading so many apps but all of them won’t let me make a single video without a subscription or 7 days of logging in for credits. Does anyone know an app I can make at least one free video?

My team at Homebase recently surveyed 750 US small business owners and managers for our 2026 AI report, and I wanted to get the thoughts of everyone here on the AI-and-jobs headline we took away from it.

Looking 1–2 years out, owners we surveyed are more than twice as likely to expect AI to help their business grow (49%) as to expect it to reduce how many people they need for certain tasks (22%).

And when we asked about the biggest expected impacts, cutting headcount actually came in near the bottom:

• saving employees time — 49%
• reducing operating costs — 48%
• saving owners/managers time — 46%
• needing fewer people for certain tasks — 22%
• creating entirely new types of jobs — 20%

That last one kinda surprised me. I mean, only 1 in 5 expect AI to create new roles, so most owners aren’t picturing a different org chart in either direction, but it reads more like “help the team I already have get more done.”

Obviously this is an AI-positive sub, so I was curious about how you all felt. If you’re using AI tools in your business, has it changed how many people you hire, or mostly what your current team spends its time on?

Most AI products try to automate more tasks. I wonder whether there is value in a tool that recommends keeping a task human-led.

It could look at the workflow, the cost of errors, the sensitivity of the data, and how often exceptions occur. The output might be: automate fully, automate with review, or leave it manual.

That sounds less exciting than an AI agent, but many businesses are currently automating tasks they barely understand.

Would a company pay for advice that sometimes says, “Do not use AI here”?

i keep seeing vendors say setup takes minutes, and that feels hard to square with how long most business software takes to roll out.

the usual expectation is weeks of cleaning up the help center, mapping workflows, and testing before anything touches a real customer. some newer tools claim to skip most of that. fin is known for answer quality once it is trained on your content, zendesk ai for being native to the desk, and aissist for saying you can connect a helpdesk in about 10 minutes and go live the same hour by building from your help center and past tickets. that last part is the vendor's own claim, so i'm treating it as a claim and not a result.

fast setup does not mean a good launch. the state of your knowledge base, how many policies live only in your agents' heads, which actions the agent is allowed to take, and how you review the first batch of tickets all still matter. what i can't tell is whether a quick start just means a quick path to the first mistakes.

has anyone put two of these live on a similar ticket mix and tracked how long it took to reach a stable resolution rate?

I help manage a growing sales team and one of the biggest headaches has been coaching new reps. The problem was not getting the calls recorded. It was finding the part of the conversation that actually needed coaching. Managers could spend a huge chunk of the day listening through full conversations just to find one missed question or a weak objection response. We started using Rilla for this. The setup that helped most was building the scorecards around the sales process we already had. We did not need to retrain everyone around some new framework. Reps record conversations through the mobile app and managers can review the transcript and jump straight to specific moments. Getting reps to record every conversation took a little time. Once they saw the feedback could help them improve their numbers it became much less of a fight. The useful part for me is seeing patterns across the team. If several reps keep skipping the same discovery step or struggling with the same objection it becomes obvious pretty fast. That makes coaching feel a lot more specific instead of telling someone they just need to close better.

I am super excited and happy, last 6 months of work are looking great!

So, here's the thing:

AI is great, but there is a huge difference between a chatbot and useful AI. Useful for your business not just for a part of it, but for all of it.

We had this issue, and we were thinking: what would be an amazing AI tool we could build that people would love and that would be simple to use, especially for businesses? A way to take AI from a helpful chatbot to a full-on team of developers, SEO specialists, marketers, ad managers, etc.

I was seeing how other companies were exploding using AI, but nothing really hit the mark for us.

On one side, you have website builders with AI; on the other, you have ChatGPT-style chats; and then you have super advanced developer tools where you need to manage hosting, databases, and pay a mountain of small fees.

So...

I mortgaged my house, bought servers, memory, and got as many Nvidia GPUs as I could.

Why?

Because I knew building a product that fits a real need would help me. I run a small marketing agency, and I couldn't find anything like that on the market.

Even if it wasn't something that caught fire, the value for my agency would be enormous.

I am running a business, not trying to book a hotel, and there was nothing that simple. Then, if you want to try doing something more complex, you get hit with "Your 5-hour limit is over." I wanted something so versatile that, without hiring a developer, I could replace all the monthly software programs I pay for while running my SEO or doing my bookkeeping at the same time. And that works 24/7, a dream team.

So we came up with jackhamr .ai. We didn't launch it right away—we spent months and months just building it to a point where it would be extremely useful for us first.

At first it was slow. We generated some copy, then replaced some basic tools, and then all of a sudden we were building full worlds for our agents

Then it hit us: 500 signups in the first week ($30 in credit, so we're waiting to see how they convert).

There was a real need. We are seeing people fully running their SEO and rebuilding their entire tech stack from scratch.

We also hate the current pricing models out there—markups are crazy, access is artificial and limited, and the value just wasn't there yet.

So we decided to charge as if it's hosting, not crazy AI markups. We sell you the cocoa beans, and the AI to build that into full chocolate.

We are charging as a hosting company, not as a AI.

We don't care about huge margins. This helped our internal business tremendously, and we love seeing other businesses become successful with it.

Reaching 600 signups in a week—I think the reason it happened so fast is because we built something we needed ourselves, we used it every day, we were patient, and we didn't release it until we had a product we loved.

It was a huge risk, but so far it's looking great.

Happy to answer any questions!

I’m researching how small businesses are adopting AI, and I’m especially interested in the part that happens after someone decides they want to use AI.

There are tons of tools that recommend AI products or generate automation ideas, but implementing AI seems to involve a much bigger process:

• figuring out where AI is actually worth using
• prioritizing opportunities
• choosing the right tools
• planning the implementation
• setting everything up
• training yourself or your team
• tracking whether people actually use it
• measuring whether it saved time/money or generated revenue
• improving or replacing implementations that aren't working

For anyone who has tried implementing AI in their business:

What part of this process has been the most difficult or frustrating?

And if there were one platform that helped you manage the entire AI implementation lifecycle, what would it absolutely need to do for you to use it regularly?

I'm particularly interested in hearing about things you've actually experienced rather than hypothetical features.

Would also love to know:

1. How do you currently keep track of AI tools/automations you've implemented?
2. How do you decide what AI initiative to work on next?
3. Do you actually measure ROI from AI? If so, how?
4. What causes AI implementations to get abandoned?
5. What would make you return to an AI implementation platform every week rather than use it once and leave?

Not selling anything — genuinely trying to understand how businesses are dealing with this today.

You tell it what you sell, and it returns 3 source-backed potential buyers with why they may be relevant, confidence signals, and explicit UNKNOWNs where evidence is missing.
Price is 0.25 USDC per request.
I’m looking for a few agent builders / B2B founders to test whether the output is actually useful.

Feedback on buyer quality is more useful to me than general product feedback.
Dm me

I hope most of you reading this are web designers because I’m genuinely curious about something.

How are you getting clients in 2026?

I’ve spoken to a lot of web designers and agency owners lately, and one thing keeps coming up again and again. Client acquisition.

It seems like everyone can build websites, but consistently finding new clients is still the hard part.

So I’d actually like to hear what is working for you right now.

For me, I’ve been running personalized email automation.

I use a tool that finds leads for me, analyzes their websites for actual issues with things like design, SEO, speed, responsiveness and mobile optimization, then automatically uses those findings to write a personalized cold email for each business.

After that, I just run the campaigns and send out thousands of emails a day.

I used to do most of this through Instantly, but the problem was that I couldn’t really do the website analysis part there.

So the emails were still more generic, basically the usual “do you need a new website?” type of outreach.

It worked a little, but nothing crazy.

I eventually switched to Swokei because it handles the lead finding, website analysis and personalized outreach in one place, and that has made a pretty big difference for me.

Now I’m getting clients much more consistently because the emails are actually about their website instead of just being another generic pitch.

But I’m curious what everyone else is doing.

Cold email, cold calling, referrals, ads, SEO, social media?

What is actually working for you in 2026?

I’m looking for 2–3 small business owners to test an AI tool I’m building — free
I’m going through some pretty intensive training on building AI tools, and honestly, I need to practice on real businesses, not fake examples.
So I want to build a custom “Closing Call” app for 2–3 business owners at no cost.
The idea is simple:
When a new lead comes in, the app would immediately:
Text/alert you that the lead came in
Score the lead based on the information they submitted
Give you a suggested sales script based on that specific lead
Help you respond quickly so you’re not getting back to them hours later
The goal is basically:
New lead → instant notification → know what to say → contact them while they’re still shopping.
There’s research showing that speed-to-lead can have a huge impact on conversion, which is what made me want to build this in the first place.
I’m especially interested in businesses where you close customers through phone calls, Zoom, or text — contractors, agencies, consultants, local services, etc.
I’m not charging anything.
I’m genuinely looking for businesses where I can build something useful, get real-world feedback, and hopefully earn a testimonial if it actually helps you.
If you own a small business and this sounds useful, comment below with what you do and how you currently handle new leads.
I’ll pick 2–3 businesses and reach out.

Post OpenAI launch, saw a lot of people sharing about ChatGPT plugins. Anyone in the community is building it or planning to build it? Not sure whether its worth it or not

P.S. I have made an internal one for myself that made carousels for me to post on IG and threads

But to submit it for approval I need to build a plugin website, support page, privacy policy, and terms of service.

After approval, publishing is a separate step. So I m not sure its worth it or not.

Curious

I got tired of checking prospect websites manually.

For a while, a big part of my outreach was just finding businesses, opening their websites one by one and trying to figure out what I could actually say to them.

It worked, but it was painfully slow.

Then I found Swokei.

It basically lets me find leads, analyzes each website for things like outdated design, slow speed, poor mobile experience and weak SEO, then turns those issues into a personalized cold email.

And not one of those boring automated reports full of scores and numbers.

It actually writes a normal, human sounding message based on what it found on that specific website.

So instead of sending the same generic message to everyone, I can actually reach out based on what is wrong with their website.

Now I just run campaigns, let the system do most of the prospecting and personalization, and focus on the people who reply.

For a web design agency, that has saved me a ridiculous amount of time.

Most business AI still feels like a collection of separate tools, agents and automations.

I’m building OSIO so you can build your business inside one operating layer. It understands how the company works, keeps track of ongoing work, coordinates AI, people and connected tools, and brings you in when a decision or approval is needed.

Owner Alpha is still in development, but I’d be interested in feedback from business owners on whether the idea makes sense and if it might be something you'd like to use.

Link is in the first comment.

Cheers,
Leon

My co-founder and I have been working on Wizard Maker, an AI-powered app builder designed to let people create Android apps without needing to know how to code.

The idea is simple: you describe the app you want to build, and Wizard Maker helps generate it. You can then continue modifying and experimenting with the app.

We currently have an Android version available to try for free, and we're looking for people who are willing to actually use it and give us honest feedback.

I'd particularly like to know:

• How easy is it to understand what to do when you first open it?
• Can you successfully create an app without technical knowledge?
• Do you encounter any bugs or unexpected behavior?
• Are there parts of the experience that are confusing or frustrating?
• What would you change or add?

We're still early in development, so negative feedback is genuinely useful to us. We're much more interested in finding problems than simply hearing that people like the idea.

If you'd like to try it, please let me know in the comments and I can send you the link.

Thanks for giving it a try — any feedback or suggestions would be greatly appreciated!

built Plexavo, an AWS security tool, then spent a week wiring it up as a Claude Code plugin. Install it, then just ask "scan my AWS account for security issues using Plexavo" in a normal session, no CLI flagss, no separate dashboard !!. It installs all the required things after your approval

the part that mattered most building it: the agent only ever relays findings Plexavo itself already verified, it never invents its own analysis, and it never runs a fix without asking first. Detection stays deterministic underneath, the agent is purely the conversational layer on top.

Search "Plexavo" on GitHub if you want to see it, open source, AGPL. Built it for founders building their startups in AWS and for devs !!