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Agents/Case StudyExperimental/ 2026

Nimbus Productivity

Personal AI operating layer.

ProductivityAgentsApps
/nimbus-productivity
nimbus productivity / onlineProductivity · Agents · Apps

Problem and solution

01/Problem

Personal AI tools tend to be either shallow chat windows or heavyweight agents that demand too much. I wanted something between a calendar and a colleague.

02/Solution

Nimbus watches the things you already use (inbox, calendar, notes), keeps a small persistent model of what's important, and surfaces a brief each morning. It acts when asked and shuts up otherwise.

03/How it works

The system, end to end.

  1. 01next →

    Watch

    Inbox + calendar + notes via OAuth.

  2. 02next →

    Model

    Small persistent state of priorities.

  3. 03next →

    Brief

    Morning summary, ranked by you.

  4. 04next →

    Act

    Drafts replies, schedules focus blocks.

  5. 05loop

    Reflect

    End-of-day log + weekly review.

04/Architecture

Components and data flow.

How the moving parts fit together. Solid arrows are synchronous calls; dashed arrows are queued or batched.

  1. 01

    Watchers (email / calendar / notes)

  2. 02

    State store

  3. 03

    Brief generator

  4. 04

    Action executor

  5. 05

    Reflection loop

  6. 06

    Local LLM fallback

↓ flow continues

05/Technology

The stack.

AI / ML
Hosted LLMLocal GGUF fallbackEmbeddings for ranking
Frontend
Next.jsTailwind
Backend
TypeScripttRPC
Database
PostgresSQLite
Infrastructure
VercelCron jobs
APIs
GmailGoogle CalendarNotion

06/Engineering decisions

What we picked, and why.

  1. 01

    Quiet by default

    Choice

    Only surface what's worth surfacing

    Alternatives

    • Always-on notifications

    Why

    Notification fatigue kills personal tools. Nimbus only speaks when there's something worth saying.

07/Evaluation

What we measured.

  • 01

    92%

    Daily active

  • 02

    4.6/5

    Brief usefulness

  • 03

    47%

    Drafts accepted

08/Challenges

What almost broke us.

  • 01

    Privacy boundary

    What happened

    Cloud LLM saw personal context.

    What we did

    Added a local-only mode for sensitive accounts.

09/Results

Personal tool; used every day. Calendar density dropped 18% without missed commitments.

10/Future improvements

  • ›Voice briefs
  • ›Cross-account state

Have an interesting AI problem?

Let's build something.

If you're working on something that needs real AI engineering — not just a demo — let's talk.

© 2026
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