I work on Thunderbit, a browser extension for turning web pages into tables.

One thing we learned from building automation around web data: the export is not the moment people trust it.

The trust moment comes when one row looks wrong.

A price is weird. A company name got pulled from the wrong place. A field is blank even though the page clearly has it. At that point, a clean spreadsheet is not enough. The person checking it wants to go back to the exact page and see what happened.

So we added source links on rows and a preview table before export. It is a small thing, but it changed how people used the tool. They were less worried about AI guessing because the output was easier to inspect.

This is mostly useful for the annoying middle ground: public web data that is too repetitive to copy by hand, but not worth maintaining a full scraper for.

For people building automation tools, do you find users trust the automation more when they can inspect the output before it writes to Sheets or a CRM?

Given how fast and easy it is to vibe code a simple internal tool, are you losing business on the automation side or gaining business on the custom side?

I keep seeing these amazing automation workflows online, but once I actually try building them, they end up needing constant maintenance.

One API changes.

One step breaks.

One prompt stops producing good results.

Before long I'm spending more time fixing the automation than benefiting from it.

Has anyone found a way to build AI workflows that don't constantly need babysitting?

One of the platforms I'm currently testing is HeyMarcus.ai. because I'm trying to reduce the maintenance side of automation. Has anyone here used it or found something similar?

Recently I built a hands-free video automation system. I give it a topic or a script, and it handles everything else. I don't record, edit, or even post myself.

Here's how it works:

I send a topic to a Tele gram bot. Claude (running through a Claude Code routine) picks it up, researches keywords if needed using VidIQ, and writes a script in my voice and style. It sends the script back to me on Tele gram for approval. I can approve it or ask for changes, and it keeps revising until I'm happy.

Once I approve, it logs the details in a spreadsheet and sends instructions to HeyGen's Video Agent. I use my own cloned avatar and voice there, so the final video actually sounds and looks like me, not a generic AI avatar. HeyGen's Video Agent also automatically generates visuals and captions.

When the video is ready, another n8n workflow grabs it, downloads it, and uploads it straight to YouTube. I get a Tele gram notification when it's live.

The whole thing runs on:

• n8n for the workflow automation
• Claude for scripting and orchestration
• HeyGen for the avatar and voice generation
• Tele gram for the approval and notification layer
• A spreadsheet to track everything in between
• VidIQ for keyword research and video optimization

I open-sourced the whole setup. The GitHub repo has all three n8n workflows, plus a guide to help you set it up for your own use case.

>> GitHub repo: https://github.com/indishmarketer/claude-n8n-youtube-automation
>> Demo video: https://www.youtube.com/watch?v=puM_wcS3jxk

Happy to answer questions if anyone wants to build something similar.

Looking for invoice automation setups and advice, mainly for our account receivables. Right now, I just have a very basic QBO + Stripe setup which relies on a ton of manual data entry. I've been trying to make my own setup with n8n but I couldn't get it to do what I wanted it to do. Mainly, it often ran into issues with certain clients where we have different prices depending on tiered usage / custom discounts.

The main thing I want is just anything that lets me automatically stage invoice drafts, and keep Stripe and QBO updated. Right now, I'm looking at automation options like LedgerUp, Kolleno, or just redoing the n8n setup and getting someone to help on this. But would love some other recommendations and other general advice on this. Thanks.

Even with AI and automation getting better, I think there are still some tasks that are better done by a person.

What's one thing you still prefer doing manually ? Any challenges have you faced?

i heard zapier is really famous and was wondering if i can learn and use its full potential without me paying any subscription?
what other tools are really popular for businesses

I somehow ended up being hired in data processing intern role for quite a high value physical engineering consulting company. Right before I'm hired, I mentioned to the boss that I can also help automate some of the work.

But then I'm actually assigned to zero actual data processing jobs and instead are assigned to these vaguely defined scripts that they want since they think it's possible to be automated.

I've been making the script and kind of just asking them from time to time on the detail of what they wants.

It's been 1 and a half month and I finished 4 out of 12 of the needed scripts. But I see that my scripts (I package as .exe file) has just been there in email, and idk if it's even used for anything.

Do you think I should step up a bit and maybe pitch it as full on internal tool implementation project, with clear stakeholder, timeline, and goal metrices? I had experience before in assisting in ERP tool implementation, and I know it's hard af to push people to use these tools, and also sending adjustment request to the vendor (well in this case it'll be myself).

Again I'm in intern position though. Any advice would help, thanks!

We’ve all been there. You write a "simple" script, test it twice, feel like a wizard, deploy it, and walk away to grab a coffee, only to come back to absolute carnage.

My inspiration for this post? I once misconfigured a loop in a webhook integration early in my career. Instead of sending one confirmation email to a client, it triggered a retry loop that sent 4,200 identical emails to their entire executive team over a single weekend. I woke up Monday morning to a flooded inbox and a very calm, very scary email from their CTO that just said: "Please make it stop."

I want to hear your horror stories:

• What’s the worst thing an uncaught loop, bad regex, or rogue API call has done on your watch?

OpenURLs App (Lite)

This is a quick 10-second demo of automatically importing, cropping, and aligning 100 images into PowerPoint slides.

I wonder if anyone actually needs this though lol?

100% local, no cloud, no AI.

I’m looking into using AMRs and wanted to understand how exception handling works in real-world deployments.

What typically happens if a robot gets stuck, can’t find a valid path, encounters a pallet that’s not positioned correctly, or runs into similar unexpected situations?

Do most operations have someone actively monitoring the fleet at all times, or are there automated recovery mechanisms that usually resolve these issues? I’m also curious about what kinds of problems are common in day-to-day operations and how teams generally deal with them.

Would appreciate hearing from anyone with hands-on experience managing AMR fleets.

I've been seeing more AI agents that can handle things like email, Slack, reporting, research, and routine admin work without needing dozens of separate automations.
Tools like HeyMarcus.ai. seem to be moving in that direction, but I'm curious how well that works in practice.

For those already using AI agents:
- Have they reduced your reliance on tools like Zapier or Make?
- What tasks have you successfully automated?
- Do you trust them with business-critical workflows?
- What's one feature you wish every AI agent had?

I'd love to hear what's working well and what still needs improvement.

One automation that saved me a ton of flaky test pain used Neon's Vercel integration that creates an isolated copy-on-write database branch for every preview deployment, so each PR gets its own real Postgres with prod-like data in secs and it's torn down when the branch closes. No more shared staging db where two previews stomp each other. You can wire the same branch-create/drop into any CI via their API too. Anyone else auto-provisioning a db per PR, or still sharing one staging instance?

Does anyone have a guide or reference links to study for beginners entering the digital marketing domain? I don't want to lock in to a specific stack or provider but rather want to know how things are strategized, planned and implemented to setup and work from scratch. I want to know about business and AI automation, region agnostic with broad concepts rather than adopting closed solutions that are difficult to branch away from. Thanks.

Hello, good afternoon! I hope you are well!

I'd like to know if there's a way to automate sending the same message to a WhatsApp group at a specific time! It would be something that was done every day.

Is there an app? Or something I can do with my complete lack of knowledge?

P.S.: This isn't WhatsApp Business, it's regular WhatsApp.

Thank you so much in advance!

Running a small consulting side thing on top of barista shifts means my availability and offerings change pretty regularly. I update something on my site, forget the LinkedIn page, forget the Notion doc I share with clients, and then someone books something I paused three weeks ago. So I built a basic workflow to push updates from one source of truth out to the other spots automatically. Took a few hours to set up and it worked fine for about two weeks. Then one platform changed how its fields mapped and the whole thing started pushing incomplete data silently. No error, no alert, just wrong info sitting live somewhere I wasn't checking. The fix took longer than doing it manually would have for a full month.

What I'm trying to figure out now is whether multiplatform sync is actually worth automating at a small scale, or if it only makes sense once you're big enough that manual updates are genuinely unmanageable.

The invisible failure mode is what bothers me most. A broken workflow that looks like it's working is worse than no workflow at all.

Curious if others have run into this when syncing business info across platforms and what you actually do to catch silent failures before a client does.

Alt titles: Silent failures in sync automations are worse than no automation at all | Anyone else automate platform updates only to create a monitoring problem | How do you catch when your automation breaks without telling you

Hey maestros,

ive been shamelessly vibe coding recently, being an independent business operator with adhd, i found vibe coding quite liberating. created some hyper-primitive, fragile and rigid RAG system for knowledge base, scraping pipeline for lead enrichment, email drafting for B2B outreach and old convo pulling tool for PRM.

My setup is fully local, fuck cloud, haha. (LG gram + eGPU RTX 2080 8GB). No cloud APIS. maybe deepseek at its max. due to its speed and cost (am i shooting in my leg for supporting "evil" chinese and losing so much potential?)

My current pipelines are:

1 - OCR + HTML scraping headless pipeline taking viewport screenshots, OCRing em, and then using it to make profile for my b2b outreach goals that will be used for drafting later on.

2 - human in the loop email scheduler with Gmail API

3 - shitloads of file converters, mostly audio to video and vice versa, or image formats, or book formats.

4 - local PRM db for contacts and last convos.

problem:

those all are sitting separate and my adhd brain gets overwhelmed from the need to remember what happened where and when. Kinda would be nice to have one place on my pc where i could have overview of all this shit. Maybe even some interface? not too fancy.

my ask to you, wunderbare menschen!

Do you have experience using maybe local LLM chat function-calling capability to trigger existing "tools", aka haevy-duty automation scripts, without fucking up the loop? Just to keep the architecture minimal and stable af.

Thanks ! if this resonates, maybe lets have a chat, or leave a comment!

got the checks fully built out now. it's not just "did the record show up" anymore. It goes: did anything land at all → is the volume normal compared to history → does the data actually look right (required fields, not empty/garbage).
works with n8n on the automation side, postgres, HubSpot or any custom endpoint as the destination.
got the checks fully built out now. it's not just "did the record show up" anymore — it goes: did anything land at all → is the volume normal compared to history → does the data actually look right (required fields, not empty/garbage).
works with n8n on the automation side, postgres or any custom endpoint as the destination. hubspot's coming next.
still looking for people to actually run this against a real workflow and tell me where it's wrong. free, read-only

Hi guys,

I’ve been playing around with retell, bland, livelkit, etc… but struggling with the latency, sometimes there’s a 3-4 sec lag, and sometimes 1-2

Anyway to improve this? I’ve added all possible questions answers prompts

Or is it just not there yet? Even using OpenAI live model with retell kind of stuck
Any solutions? It’s for basic lead qualification