Your AI is Finally Getting Useful

Everyone is talking about AI, but the real question is what can you actually do with it? The most interesting tools aren't just clever tricks; they solve a real, nagging problem.

Your AI Conversations Are No Longer Disposable

Kortex is building the memory layer for your brilliant, but forgotten, AI chats.

Remember that brilliant idea you workshopped with ChatGPT last week? It's gone, buried in a forgotten chat history. Kortex fixes this by turning your disposable AI conversations into a permanent, organised knowledge base, acting as an integration layer between your chats and tools like NotebookLM.

This isn't about saving text; it's about solving the new core problem in knowledge work. We've mastered generating information, but we are failing at managing it. By creating a persistent memory, Kortex shifts AI from a clever chatbot into a genuine collaborator that remembers context and builds on previous work. We're finally building the infrastructure to make AI outputs actionable, not just impressive.

This tool is essential for anyone using AI for deep work, like researchers, writers, or strategists. More importantly, it signals a market shift from focusing on the models themselves to building the practical plumbing around them. The future isn't just a better model; it's a better, more integrated workflow.

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The New Creative Stack

AI is moving from a novelty generator to a core part of the creative and content process.

GLM-4.6V: An open-source brain for agents that can see and do

This new open-source model doesn't just see images, it understands them and can use tools based on them. It's a foundational piece for building agents that can actually perceive and act on the world.

Lyria Camera: Your life now has a soundtrack

Point your phone at anything and this Google DeepMind project generates a high-quality, evolving musical score in real-time. It’s a glimpse into a future where our devices don’t just capture moments, they interpret them.

Taag.app: Turn your photos into a storefront

Stop answering 'where did you get that?' DMs. This tool uses vision AI to automatically identify products in your pictures and creates a shoppable page for your followers in seconds.

Friction Is The Enemy

The most valuable tools aren't always the flashiest; they're the ones that erase a deep-seated annoyance.

Kerno: The AI co-pilot that loves testing so you don't have to

An AI co-pilot for backend engineers that automates the soul-crushing parts of integration testing right inside your IDE. It's about shifting quality control left and freeing up developers to actually build things.

TheFrontKit: A UI kit that feels like a real app, not a mock-up

This isn't another box of loose components; it's a premium UI kit for Next.js that feels like a real app from the start. It's designed to close the painful gap between Figma mock-ups and production code.

Dapple: Escape the submission spreadsheet nightmare

Managing awards, grants, or contests for creative industries is chaos. This platform replaces the spreadsheet hell with a single, streamlined hub for submissions, reviews, and communication.

Quick hits

TubeGuide: Stop rewinding, start doing
Instantly converts any YouTube tutorial into a clean, step-by-step guide so you can stop hitting pause every five seconds.

SidePanel Buddy: Your co-pilot for browsing
Transforms your Chrome side panel into a persistent mini-browser, making tab-switching for reference material a thing of the past.

BON Credit: Finally, AI for your wallet
Uses AI to analyse your credit card debt and create a personalised, zero-interest strategy to help you pay it off faster.

My takeaway

We've moved past the 'wow' phase of generative AI and into the 'now what?' phase.

The novelty of generating text or images has worn off. The real value is being built in the boring, essential layers on top: memory, integration, and workflow automation. These tools aren't just cool; they're the necessary plumbing for AI to become truly useful.

This means the biggest opportunities are not in building the next giant model, but in solving the messy 'last mile' problems. The next wave of innovation will feel less like magic and more like really good plumbing. And honestly, that's far more exciting.

Are we focusing too much on an AI's IQ and not enough on its ability to simply remember what we told it yesterday?

Drop me a reply. Till next time, this is Louis, and you are reading Louis.log().