AI isn’t replacing work.
It’s exposing broken systems.
Bad workflows.
No clarity.
Too many tools.
AI just makes the chaos faster.
Fix the system first.
Then scale it.
#AI#Automation#Startups#Workflows#BuildInPublic
Most people don’t have a tools problem.
They have a clarity problem.
More dashboards.
More automation.
More AI.
Still confused.
Because tools don’t fix chaos.
They scale it.
#AI#Automation#Workflows#Startups#BuildInPublic
For months, I’ve been thinking about how founders run their businesses.
Too many dashboards.
Too much data.
Same question:
What should I focus on?
More tools don’t fix it.
The problem is clarity.
So I started building something around that.
Just getting started.
@SvenTools A disorganized workflow can drain resources and stunt growth. Automating repetitive tasks with an n8n workflow can streamline processes, saving hours weekly and boosting ROI significantly. Curious how? Check out my profile for insights.
Smart move!
Finally, it seems Google is starting to realize that having too many separate vibe coding tools like Firebase Studio, Jules, Gemini CLI, Agentivity, and AI Studio Builder only creates more confusion and fragmentation for users, while also spreading the company too thin instead of focusing on building one solid product.
RIP Firebase Studio.
> March 19, 2026: Firebase Studio will enter its shutdown phase.
> March 22, 2027: Firebase Studio will be shut down and will no longer be accessible via the Firebase Studio product URL.
A lot of people might be wondering about our decision to focus on orchestrating code-based systems, while deferring other kinds of systems until later
We've found a real issue with other agentic tools is that they try to cover too many niches at once, and end up getting 90% of the way on everything while missing the last, most difficult 10%
By focusing solely on programming, it puts us in a position where we can put real thought and care into addressing that last 10% so you aren't left with a system that works for the time being but is unmaintainable and breaks 3 months into the future.
i tested 12 different ways to describe the same n8n workflow to an AI.
9 of them produced broken output. missing nodes. wrong connections. workflows that needed 45 minutes of debugging before they did anything useful.
3 worked first try. no edits. just ran.
the difference wasn't the model. wasn't the tool. it was how specific the description was.
the ones that broke: "build me an email automation"
the ones that worked: "when a new row hits my google sheet, check if the email column is valid, send a welcome email via gmail, log the result to slack #ops, and retry once on failure"
that's it. specificity is the entire game.
most people prompt AI like they're talking to a mind reader. the builders getting clean output treat it like a new hire on day one. spell out every step. assume nothing.
you don't need a better AI. you need a better description.
Non-dev perspective: I run 2 businesses and started vibe coding internal tools with Claude 6 months ago. No CS background. The shift isn't VSCode vs Cursor — it's that people who couldn't code at all can now build real things. I spend 80% prompting, 20% fixing. Productivity is insane.
Curious how has coding changed for you in the last ~1 year.
Is anyone using VSCode anymore? Cursor? Claude code?
How much of your day is spent coding vs prompting.
What do you do when the AI is coding?
Do you parallelly start multiple tasks?
Are you more productive?
Most businesses fail at AI automation because they try to automate broken processes. You can't fix workflow chaos with better tools. The AI just amplifies the mess at machine speed. Map your processes first. Then automate what actually works. #AI#Automation#Productivity