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AI tools. BIIM platforms. EdTech launches. Social commerce infrastructure. 🌍
The briefs keep changing. The standard doesn't.
Every one of these products needed to earn trust in under 8 seconds — with buyers who are skeptical, busy, and comparing three other options in the next tab.
That's not a design challenge. That's a conversion challenge.
And conversion challenges don't get solved by making things prettier. They get solved by making things clearer — faster — with every element doing exactly one job.
Strategy before aesthetics. Architecture before visuals. Every time. ⚡
500+ projects. 10+ countries. The bar doesn't drop.
→ Recent work at my profile.
Good work
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Building AI automation that actually saves time. ⚡
Lately I've been working with AI agents, n8n, Python, APIs and RAG to turn repetitive business tasks into automated workflows.
From lead qualification and document processing to AI assistants and notifications — the goal is simple:
Less manual work. More intelligent workflows. 🤖
Currently building and experimenting with new automation projects. 🚀
#AIAutomation #AIAgents #n8n #RAG #Python
Turning lead qualification into an AI driven flow really cuts the back and forth of data entry. Automating document parsing with RAG makes the handoff to downstream steps feel instant.
I, for one, welcome our AI overlords.
But I’d still like a human in the room when the contract gets complicated.
AI can replace the work.
The hard part is knowing what work actually matters.
400 billion tokens later, I’m still keeping my judgment.
Hey frens, for years I could do much of the work around a new product:
Define the opportunity.
Clarify the audience.
Shape the positioning.
Map the customer journey.
Write the MVP brief.
Plan the launch.
But turning that thinking into a working product usually required another dependency: a developer, technical co-founder, agency budget, or a long wait.
That has changed.
AI-native building tools have become a practical technical execution partner in my work—effectively, an always-available CTO for the early stage of an idea.
Alongside my work as a Hands-On CMO, entrepreneur, and investor, I have added two new hats:
Web developer.
Software builder.
Not because AI replaces experienced engineers, product designers, security, or serious technical architecture.
But because it lets a commercially minded operator move from a clear business problem to a real, testable first version much faster.
A recent example is Viewly by Realto: a focused PropTech workflow designed to turn property interest into a structured viewing request.
The problem is familiar. Someone sees a property, asks for a viewing, and the process becomes a chain of calls, messages, email follow-ups, availability checks, delays, and sometimes a lost lead.
Viewly gives the prospect a clearer path: explore the property, choose a suitable time, submit details, and move toward a confirmed viewing—while the business receives a structured enquiry rather than another unorganised message.
The lesson is bigger than real estate.
The first entrepreneurial bottleneck is no longer always technical execution.
It is clarity:
• Who is the first user?
• What recurring problem do they have?
• What is the smallest useful outcome?
• What can we test before building too much?
The winners will not be the people who generate the most AI apps.
They will be the people who turn real friction into focused, usable products.
I wrote more about the shift from writing briefs to building the first version here:
#Entrepreneurship #AIBuilders #VibeCoding #ProductStrategy #MVP #PropTech #RealEstateTech #NoCode #AI #StartupBuilding
thenewentrepreneurship.substack.com
The New Entrepreneur Builds the First Version
From Property Enquiry to Confirmed Viewing: Building Viewly with AI
Excellent work