I got tired of re-explaining my workload to AI every morning, so I built somethi
A developer, frustrated by the daily ritual of re-contextualising their workload for an AI assistant every single morning, decided to stop complaining and start building. The post appeared on Dev.to on March 22nd, describing a personal tool — the kind of side project born not from ambition but from exhaustion. The core problem is a real one: AI assistants have no persistent memory of who you are, what you're juggling, or where you left off yesterday. Every session starts cold. So this developer built something to warm it up — a system, presumably some form of structured context injection or automated briefing, that feeds the AI a current-state summary before work begins. The details in the post are light, which is partly why confidence is so low. But the itch being scratched is one that thousands of people feel every day and mostly just live with.
If confirmed as a genuinely working, reproducible approach, this points toward something the major AI labs have been slow to solve elegantly: persistent, personalised working memory. Whoever figures out the right pattern here — whether it's a developer tool, a plugin, or a workflow convention — stands to change the daily rhythm of every knowledge worker using AI. The second-order effect is subtle but significant: if AI stops feeling like a stranger you have to introduce yourself to every morning, adoption deepens and dependency grows. That's commercially interesting for platforms, and practically liberating for users. The person who publishes the cleanest solution to this problem first will attract a disproportionate amount of attention.
Watch for whether other developers reproduce or build on this approach, and whether any of the major AI assistant platforms quietly ship a native version of exactly this feature in the next few months.
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