We've spent the past year building Verso and watching how strategy teams actually adopt AI in their slide workflows. Here's our honest forecast.
~70% capability (now): Mechanical production automates. Formatting, layout consistency, bulk changes. The analyst skill premium on "fast in PowerPoint" drops; the premium on knowing what a slide should communicate rises.
I m the creator of Violit, a new Python framework I ve been building to solve a personal frustration: Why is it so hard to move from a great Python script to a "real" web app?
I used to live in spreadsheets, forecasts, budgets, and boardroom logic.
Then I started building Brzzy. Not because the world needed another weather app. Because I couldn t stop thinking: why does something we check every single day feel so lifeless?
We are building NeoSmith and we are looking for 3 teams to work with right now at no cost.
Here is the deal in one line: point your LLM to ours and we automatically create a dedicated Small Language Model for your exact workflow. Nothing from your end. No dataset, no labeling, no fine-tuning work, nothing. You just keep running your agents the way you already do.
What actually happens is this. NeoSmith reads your production traces, figures out what your workflow is doing, and builds a purpose-built model trained specifically on your task. Not a general small model. A model that has only ever seen your workflow, your inputs, your expected outputs.
