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Engaze

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What shipped, week by week.

A dated log of what left the building. If a week is missing, it was spent on a client system that cannot be shown.

Updated

18 entries

October 2026

10 entries

  1. Client work

    Factory ERP: UI consistency release

    Menus, field heights, dark-mode inks, a paper-style log-sheet page and one keypad across the export manufacturer's ERP. Live on the floor.

  2. Our products

    Dispatch runs on our own products

    Support tickets from the factory ERP and CampusOS now flow through an agent on our machine; a person approves every fix.

    dispatch.engaze.in (opens in a new tab)
  3. Our products

    Annotly, Screenroll and MacSweep

    Draw-over-screen app public as an alpha; Screenroll 0.1.3; MacSweep built and in testing.

  4. Our platform

    One analytics backend for every product

    Views, real downloads and in-app feedback for every product site, cookieless, on our own server.

  5. Our products

    Pastebook and Screenroll, built overnight

    A clipboard manager and a screenshot tool for the Mac, built by agent workflows and released the same morning.

September 2026

3 entries

  1. Our platform

    Lookout: monitoring for our own servers

    A live monitor and control panel for the Mac minis our production systems run on. Built in an evening.

August 2026

2 entries

  1. Our platform

    Production moved onto our own Mac minis

    The portfolio backend and then every product moved off rented cloud servers onto machines we own, behind a tunnel, with hourly backups.

  2. Client work

    Four months of Tally work orders read into the ERP

    April to August 2026, so the factory ERP started with history instead of an empty screen.

July 2026

1 entry

  1. Client work

    A consultancy's platform rebuilt and switched over in a day

    Years of live records migrated; the firm has run on it since.

April 2026

1 entry

  1. Training

    Claude Community Mentor

    Mentoring builders at Anthropic's Build with Opus 4.7 hackathon.

2026

1 entry

  1. Training

    A full day of agentic AI for a 25-engineer team

    On their own codebase. Every engineer shipped a working change before leaving.

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