Build an AI secretary around persistent context, not another chat box
At a glance
An Indie Hackers post breaks down the architecture for an AI secretary that actually keeps context: session vs short-term task vs long-term preference layers so birthday/contact and calendar commitments survive across chats. This workflow is listed under Architecture, Personal-Agent, Memory, Life-Admin, Indie-Hackers.
A Tesla driver built Drivr—a single-purpose Grok Bot that listens while they think out loud on the road and files the rant into a lasting memory doc instead of a general chat.
A Reddit write-up: student feeds bill screenshots to OpenClaw agent Barry, which parses amount/due date, pays via encrypted AgentPay virtual card through Playwright portals, and texts a receipt—zero late fees in two weeks.
From agentusecases.ai: Agent mode added groceries to a local supermarket cart while the user worked, ready for pickup the next morning—works best with meal-specific instructions.
Product Hunt’s Cronloop lets you describe a recurring job in Markdown, pick Codex or Claude Code, connect tools, and run agents on a loop with durable memory that can self-improve each run.