input
Beyond Market Intelligence keeps input in one place: 3 stories so far. The section currently leads with “Teaching AI to Learn From Screen Video and Improve Over Time”, “Simplify Conditional Formatting Across Sheets with Smarter Logic”, and “From Demos to Production: Building AI That Handles the Unexpected”. You've built the control loop, programmatic inputs, screen capture as visual feedback. Conditional formatting often feels like it should be simpler than it is, especially when you're bridging two sheets with an INDEX-MATCH lookup. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every input story on Beyond Market Intelligence, newest first.
Teaching AI to Learn From Screen Video and Improve Over Time
You've built the control loop, programmatic inputs, screen capture as visual feedback. The missing piece is an AI that actually *watches* the screen before deciding what to do next. Frustratingly, most models treat visual data as optional. What you need is a system with persistent memory that learns from every interaction, not one that forgets what it saw moments ago. For a deeper look at managing memory efficiently, our piece on adaptive hierarchical routing explores how structured recall can preserve context without drowning in data.
Simplify Conditional Formatting Across Sheets with Smarter Logic
Conditional formatting often feels like it should be simpler than it is, especially when you're bridging two sheets with an INDEX-MATCH lookup. KingScuba's setup is clever, using Sheet 1's input to trigger highlights across Sheet 2, but the friction comes from translating that logic into a custom formula that works across ranges. The good news? You don't need to split sheets; a single, well-crafted formula can handle it.
From Demos to Production: Building AI That Handles the Unexpected
A team wraps a few LangChain calls in a loop, adds tools, and calls it an agent. The demo impresses. Then production hits an unexpected input, and the workflow breaks. That is not agency; that is automation wearing a costume. The real difference is adaptability, and confusing the two costs you in downtime. For a deeper look at how agents truly learn, check out our piece on editing context instead of weights.