Your Vibe-Coded MVP Is A Fantasy
AI gives us speed, but reality checks are sold separately.
We are obsessed with using AI to accelerate development. But building the wrong thing faster is just failing more efficiently.
Building Faster Is Not Building Smarter
A founder's 'vibecoding' journey is a cautionary tale about the difference between speed and progress.
A founder recently shared the hard lessons from six months of 'vibecoding' — using an LLM to rapidly generate code and build a product. The promise is seductive: move fast, build lean, and launch quickly. But speed alone does not guarantee success, and building without constant market feedback is a trap.
Their biggest realisation was that their perfectly coded product solved a problem nobody had. They had fallen for the siren song of heads-down building, assuming they knew what customers wanted. The real story here is that AI can write your code, but it cannot validate your market. Building the wrong thing faster is just a more efficient way to fail.
The lesson is critical for anyone leveraging AI. Embrace the velocity for iteration, but pair it with relentless market validation and competitor analysis. The most effective workflow is not just 'vibe,' but 'vibe, then verify.' Your AI can build the house, but you still need to check if anyone wants to live there.
Your New AI Art Department
AI is quickly moving beyond text to become a full-stack creative partner.
ChatGPT Images: 4x faster and scary good
OpenAI just made its image generator 4x faster and more precise. This is not just a speed bump; it is a leap for anyone needing high-quality visuals on demand without the wait.
Wan 2.6: Your new AI film crew
This AI co-director turns your text prompts into 1080p cinematic videos with consistent characters. It is like having a small production studio in your browser, even if the clips are still short.
CanvAi: From squiggles to masterpieces
An infinite canvas that turns your rough sketches and doodles into polished, high-fidelity art with AI. It smartly bridges the gap between hands-on drawing and purely prompt-based generation.
Finally, Smarter Tools
The best new tools are not just adding features; they are solving fundamental workflow problems.
Grov: An AI brain for your whole team
Grov gives your dev team's AI a shared brain so it stops forgetting critical project details. If one person's AI learns the auth system, the whole team's AI knows it instantly.
MethodsAgent: Your AI marketing co-pilot
An AI that builds marketing funnels using proven frameworks, saving technical founders from prompt engineering. It aims to be the 'Cursor for marketing' by turning strategy directly into execution.
Kraa 1.0: One app for all your words?
This app wants to be your single 'digital sheet of paper' for notes, docs, and even team chat. It is a bold attempt to reduce the cognitive load of switching between a dozen different writing tools.
Quick hits
Picser 2.0: Your Mac's image viewing just got an upgrade
Finally, a native macOS image viewer that is actually fast enough to replace the clunky default Preview app.
Interactive PowerPoints: The end of 'death by PowerPoint'
This tool makes your boring PowerPoint presentations interactive using the chat in Teams or Zoom.
Student OS: For students drowning in apps
An all-in-one Notion template designed to centralise a student's entire academic life in one dashboard.
My takeaway
The new bottleneck is not production; it is validation.
AI gives us the power to build, write, and design faster than ever before. But this incredible speed can create a dangerous illusion of progress. Shipping features does not mean you are building something people actually need.
The most valuable skill is no longer just building, but knowing what to build. We need to pair our newfound velocity with a ruthless dedication to customer feedback. The real challenge is to stay grounded in reality when the tools make fantasy so easy to create.
How are you stress-testing your assumptions before you let the AI build them?
Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().