Happy Sunday!
AI workflows can get complicated very quickly.
You start with one repetitive task. Then someone adds three agents, 14 integrations and a diagram that looks like an underground rail map.
So, for our first The Sunday Stack, we went in the opposite direction.
We searched through community workflow libraries for automations with one simple test:
Would a normal person immediately understand why this is useful?
These five made the cut.
They aren’t theoretical AI demos. They solve real problems: missed competitor updates, forgotten receipts, vague customer complaints and support videos nobody has time to watch.
In today’s digest:
Catch important competitor website changes
Log expenses by sending a receipt photo
Turn bad reviews into better marketing ideas
Convert screen recordings into bug reports
Find product opportunities inside online complaints
W O R K F L O W 1
👀 Catch competitor changes before they announce them
You probably don’t need another competitor report.
You need to know when something actually changes.
This workflow checks selected webpages, compares the latest version with the previous one and uses AI to explain what changed.
So instead of repeatedly opening a competitor’s pricing page, you could receive a message like:
“The monthly price hasn’t changed, but the free trial has been reduced from 30 days to 14 days.”
That’s much more useful!
How it works:
Add the webpages you want to monitor.
The workflow checks them on a schedule.
Firecrawl captures the page content and a screenshot.
AI compares the old and new versions.
Meaningful changes are saved in Notion.
An optional Gmail alert tells you what happened.
The template can monitor several URLs and lets you define which changes matter, helping it ignore less important edits. It uses n8n, Firecrawl, OpenAI, Notion and Gmail.
Pages worth watching:
Pricing pages
Free-trial offers
Product pages
New integrations
Careers pages
Release notes
Cancellation terms
Homepage messaging
A growing number of job listings in one department might reveal a new priority.
A rewritten homepage might show that a competitor is targeting a different customer.
A changed pricing page could give your sales team something important to prepare for.
Make it better:
Don’t monitor an entire website on day one.
Start with three high-value pages and give the AI very clear instructions:
Alert me only when pricing, product features, target customers, integrations, trial conditions or contractual terms change. Ignore formatting, navigation and spelling edits.
That one instruction should remove a lot of unnecessary noise.
Watch out for:
AI may treat a redesigned page as a strategic change when the underlying offer is still the same.
Keep the screenshot and original page text so someone can verify the alert before acting on it.
Why we like it:
It turns competitor research from a monthly snapshot into a living record.
And unlike a giant market-intelligence system, the basic idea is easy to understand:
Page changes → AI explains it → you get an alert.
Difficulty: Moderate
Best for: Founders, marketers, agencies and product teams
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W O R K F L O W 2
🧾 Send a receipt photo and let AI handle the rest
Receipts have a strange habit of disappearing exactly when you need them.
This workflow gives them somewhere useful to go.
Send a receipt photograph to a WhatsApp Business number and the automation takes over.
It downloads the image, saves it in Google Drive, reads the important details and adds the expense to Google Sheets.
It then messages you back with a summary so you can check what was recorded.
What it can extract:
Store or supplier
Items purchased
Payment method
Total amount
Link to the original receipt
The published workflow uses WhatsApp Cloud API, Google Drive, Google Sheets, OpenAI and n8n.
Make it more useful:
Add a few extra columns:
Expense category
Client or project
VAT or tax amount
Currency
Reimbursable: yes or no
Submitted by
Approval status
Now the same workflow can handle employee expenses, client reimbursements, delivery invoices or a shared business-spending log.
You could even add a Friday summary showing:
Total spent this week
Spending by category
Receipts missing information
Expenses still awaiting approval
The simpler version:
WhatsApp Business setup is the least beginner-friendly part.
A simpler first version could use a Google Drive folder:
Photograph the receipt.
Upload it to the folder.
AI extracts the details.
The workflow updates Google Sheets.
Test that version before connecting WhatsApp.
One important fix:
The original template changes the Google Drive receipt to public access so it can create a shareable URL.
We wouldn’t recommend doing that with financial documents.
Keep the file restricted and store its private file ID or a permission-controlled link instead.
Also, don’t let AI-extracted totals flow directly into bookkeeping or tax records without a review step. A faded receipt, unusual layout or handwritten tip can still cause errors.
Why we like it:
The clever part isn’t that AI can read a receipt.
It’s that the entire task happens from one familiar action:
Take a photo and send it.
No separate scanner. No spreadsheet entry. No “I’ll deal with this later” pile.
Difficulty: Moderate
Best for: Freelancers, consultants and small businesses
W O R K F L O W 3
⭐ Turn competitors’ worst reviews into better marketing
Here’s an uncomfortable truth:
Your competitors’ unhappy customers may explain the market better than most marketing reports.
This Gumloop workflow collects recent one- and two-star reviews, looks for repeated frustrations and turns the findings into advertising ideas.
The published template searches sources such as G2, Capterra, Trustpilot and Reddit. It then drafts different versions of the message for Google, Meta, X and Reddit and places the analysis in Google Docs.
How it works:
Enter your product and main competitor.
Add your audience and value proposition.
The workflow collects recent negative reviews.
AI groups the complaints into common themes.
It drafts marketing angles based on those frustrations.
The analysis and copy are saved for review.
For example, imagine that competitor reviews repeatedly mention:
Slow customer support
Complicated setup
Unexpected fees
Missing integrations
The workflow could turn those themes into landing-page ideas, sales talking points or campaign concepts.
But there’s a catch.
Don’t use it like this:
“Our competitor is terrible. Buy from us instead.”
That’s lazy, risky and probably not very persuasive.
Use it like this:
Ask the AI to answer:
Which complaint appears most often?
What exact words do customers use?
Is this a repeated pattern or one angry review?
Does our product genuinely solve it?
What evidence could support that claim?
Should this become an advert, product fix or FAQ?
That last question matters.
Sometimes the best result won’t be a new ad.
It could be:
A clearer pricing page
A new onboarding guide
A product improvement
A better guarantee
A sales objection your team should prepare for
A stronger analysis prompt:
Group the reviews into repeated pain points. Show how many reviews support each theme and separate common patterns from isolated complaints. For every proposed marketing message, explain what evidence our business would need before making the claim. Do not invent advantages or quote reviewers out of context.
Watch out for:
A bad competitor review does not prove your product is better.
Every claim still needs to match your real features, prices and service levels. Avoid unsupported comparisons or implying that one reviewer represents the whole market.
Why we like it:
Most copywriting workflows begin with a blank page.
This one begins with the customer’s actual frustration.
That gives you better language and a much clearer problem to solve.
Difficulty: Easy to moderate
Best for: Marketers, founders and copywriters
W O R K F L O W 4
🎥 Turn a customer’s screen recording into a bug ticket
Image source: News Digest AI
A customer sends a five-minute screen recording.
Somewhere around minute three, the problem appears.
A support agent watches the whole thing, rewinds twice, takes notes and then tries to explain the issue to a developer.
Or AI could do the first pass.
This workflow accepts a screen-recording URL, customer name and issue type through a simple form.
WayinVideo analyses the recording to find the relevant moment. GPT then turns the findings into a structured bug ticket and saves it to Google Sheets.
The finished ticket can include:
One-sentence issue summary
Priority level
Exact video timestamp
Steps to reproduce
Expected behaviour
Actual behaviour
Suggested team
Possible fix
Link to the recording
The template is built for support agents, QA teams and software companies. Its creator estimates a setup time of around 10–15 minutes once the required accounts and credentials are available.
Make it more useful:
Replace Google Sheets with the tool your team already uses:
Jira
Linear
Asana
ClickUp
Monday
Trello
Then add:
A Slack alert for critical bugs
Browser and device information
A duplicate-ticket check
The customer’s account details
A human approval step
A link to related support conversations
The useful beginner version:
You don’t need to automate everything immediately.
Try this manually first:
Take the screen-recording transcript.
Add the customer’s description.
Ask AI to create a structured ticket.
Let a support agent approve it.
Copy it into your ticket system.
Once the output is consistently good, automate the video-analysis and ticket-creation steps.
One important fix:
The template checks every 45 seconds to see whether the video analysis is complete.
Its own documentation warns that this loop could continue indefinitely when the recording is broken or unsupported.
Add a maximum number of attempts. After that, send the recording to a human-review queue.
AI should also suggest severity and team ownership rather than making the final decision for serious issues.
Why we like it:
Customers describe problems naturally by showing what happened.
Developers need structured information.
This workflow translates one into the other—and saves someone from watching every second of every recording.
Difficulty: Moderate
Best for: SaaS companies, development teams and support departments
W O R K F L O W 5
🔍 Find new product ideas inside online complaints
People complain online all day.
Most businesses either ignore those conversations or read a few posts and assume they represent everybody.
This workflow takes a more organised approach.
It collects discussions from web search, Reddit and X, removes some of the noise, groups the posts into recurring problems and creates an executive briefing.
The results are also added to Google Sheets so patterns can be tracked over time.
The big idea:
Instead of starting with:
“What AI product should we build?”
Start with:
“What problem are people repeatedly trying—and failing—to solve?”
That small shift can lead to much better ideas.
What the workflow looks for:
Repeated frustrations
Broken customer journeys
Workarounds people currently use
Tasks that take too long
Missing features
Poor service experiences
Problems people may pay to remove
The original template combines SerpAPI, Reddit, X, Anthropic, Google Sheets, Gmail and n8n. It is the most advanced workflow in this week’s selection.
The beginner version:
You absolutely do not need to scan the entire internet.
Start with:
One audience
One problem
Two relevant Reddit communities
Five search phrases
Twenty useful posts
One weekly report
For example:
Find complaints from small-business owners struggling to follow up with new leads.
That is far more useful than searching for something broad like “business problems.”
Use this research prompt:
Group the posts by the task the person is trying to complete, the problem blocking them, the workaround they currently use and the consequence of leaving the problem unsolved. Preserve the original source link for every finding. Do not treat the number of social posts as proof of market size.
Then look for problems that are:
Frequent
Urgent
Expensive
Emotionally frustrating
Poorly served by current tools
Watch out for:
The template description says one of its methods bypasses standard X rate limits.
Don’t copy that part.
Use official APIs, approved research providers or your own manually gathered source list. Follow platform rules and avoid collecting unnecessary personal information.
Also remember that social media naturally amplifies unusually negative experiences.
Twenty angry posts may reveal a useful signal. They don’t automatically prove that millions of people share the same problem.
Why we like it:
This is one of the few AI workflows that can help you decide what work is worth doing in the first place.
It doesn’t just speed up an existing task.
It can surface opportunities you didn’t know were there.
Difficulty: Advanced
Best for: Founders, product teams, agencies and researchers
Which one should you try first?
Here’s our quick take:
Want something useful for almost any business? Try the competitor-change monitor.
Tired of losing receipts? Build the expense tracker.
Need better campaign ideas? Analyse competitor reviews.
Run a software product? Test the screen-recording workflow.
Looking for a new product or service idea? Start with customer complaints.
But don’t build the full automation immediately.
Run the process manually once.
Then ask:
Was the result actually useful?
What did the AI misunderstand?
Which steps still needed a person?
Is this task repeated often enough to automate?
What happens when the workflow fails?
If the manual version saves time, automate the smallest reliable version first.
That’s the real trick with AI workflows.
Don’t begin with the agent. Begin with the annoying task.
That’s it for this week’s Sunday Workflow Drop!
See you soon,
News Digest AI team