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THE DAILY INDEX

Technology, AI, software, security, crypto and business

DEEP DIVES & ANALYSIS

TLDR AI

BUILDING CONTEXT GRAPHS FOR GTM — AND WHY SALESFORCE CAN'T DO IT

GTM is hard because context is fragmented across people and systems. Salesforce may be a system of record, but it is not a source of truth with comprehensive context and decision traces. One of the next trillion-dollar opportunities in AI will come from systems that capture decision traces, not just data. These context graphs will capture how things happened - what decisions were made, what changed, and why an account moved the way it did.

DATABASE DEVELOPMENT WITH AI IN 2026

In 2026, AI will significantly impact database development by assisting with routine reporting queries and schema generation for new applications. Stable SQL language aids AI in this. However, poorly documented existing databases and the need for precision in critical tasks present challenges. AI adoption will flourish in new projects, but legacy systems will still demand human involvement due to complexities and inadequate tooling.

AI NEEDS GAME DESIGNERS

Game designers have spent decades figuring out how to let humans direct complex, multi-agent systems in real-time, surface information at the right moment, and make something intricate feel intuitive. The command interfaces in RTS games are the result of decades of iteration on parallel attention management. Someone needs to build an interface for AI agents that allows users to spin up workers, assign them to control groups, see their status on a dashboard, get alerts when they need attention, and coordinate their work. The people most suited to build this are game designers.

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