AI's 90% Problem
We've made it easier than ever to start, but harder than ever to finish well.
AI makes building a product prototype feel like a magic trick. But the magic runs out just before the finish line.
AI Gets You 90% Of The Way There, Instantly
The final 10% is where products are made, and where most will fail.
AI has completely changed the game for getting projects off the ground. It can spin up code, draft designs, and get a functional prototype running in a fraction of the time it used to take. This acceleration is real, and it's making it possible for more people to build.
But here's the paradox: that last 10% is now the entire game. This final stretch isn't about adding features, it's about security, scalability, and the polish that makes a product trustworthy. These are precisely the things AI is not good at, requiring architectural foresight and a deep understanding of what can go wrong.
The smart way forward is to treat AI as an accelerator, not a replacement. Use it to explore ideas at lightning speed, but budget more time than ever for expert human review. The new bottleneck isn't the first line of code, it's the final sign-off.
The New Digital Workforce
AI is moving beyond simple tools and into roles that feel more like specialised employees.
Conduit AI: Your new AI Chief of Staff that actually learns on the job.
This platform turns your AI into a digital agent that learns from every interaction. It signals a shift from AI as a passive tool to an active, improving participant in your workflows.
Sprinto: The AI intern that handles your most hated paperwork.
This AI tackles one of the most painful jobs in business: filling out security questionnaires. It's a perfect example of AI automating a highly specialised, soul-crushing but critical task.
Your Creative Tools Are Getting Brains
The next wave of software isn't just about features, it's about embedding intelligence directly into the creative workflow.
Google Mixboard: Google's new AI brainstorming partner.
This isn't just another image generator; it's a visual collaborator you edit with natural language. This moves us beyond one-shot prompts and into a genuine creative dialogue with our tools.
Qudemo: Demo videos that talk back.
Your product demos are no longer monologues but interactive conversations. This tool lets viewers ask questions and get answers, fundamentally changing product communication from broadcast to dialogue.
Modul: 'Unbreakable' AI presentations that don't look like garbage.
By enforcing design rules, Modul lets you focus on the message, not the formatting. It solves the universal pain of making presentations that don't fall apart the second you change something.
Quick hits
GroupTab: A sane app switcher for macOS.
Finally, an app switcher for your Mac that lets you group apps by context, saving you from the endless Cmd+Tab carousel.
Loop MCP: The universal adapter for your company's AI.
This is the essential plumbing that lets your AI assistant actually connect to other apps, turning it from a smart chatbot into a useful digital worker.
Manna 2.0: Your Bible study just got a digital pet lamb.
The 'Duolingo for Bible Study' proves no niche is safe from gamification and AI, turning scripture into a habit-forming quest.
My takeaway
The most valuable skill in the age of AI isn't prompt engineering, it's taste.
AI excels at generating endless options, the raw material for creation. But turning that raw potential into something secure, reliable, and truly great requires human judgement. We’ve become the expert editors for an infinitely fast, but often naive, creative partner.
This shifts the definition of work from creation to curation and refinement. We no longer start from a blank page, but from a messy, brilliant first draft. The real question is, are we training ourselves to be better finishers?
Are we training our teams for this new reality of critical review and deep refinement?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().