EISORYN · Custom AI agent development

AI agents built around your real workflow.

EISORYN designs custom AI agents that understand the context around the work, not only the task in front of them. UI Board is our first product: a working visual-control and evidence layer for coding agents.

Grounded intelligence. Verifiable outcomes.

Your workflow becomes the architecture.

A custom agent is not a chatbot with your logo on it. It is a system assembled around the way your work already runs: module by module, under your direction.

MODULE 01

Workflow

The real sequence of work, mapped from how your team actually operates.

MODULE 02

Decisions

The judgment calls the agent will touch, named and bounded up front.

MODULE 03

Data

The records and context the agent reads: no more than it needs.

MODULE 04

Tools

The systems it acts through: the ones your work already runs on.

MODULE 05

Boundaries

What the agent must never do: enforced, not assumed.

MODULE 06 · HUMAN

Human review

A person approves what matters before it counts.

MODULE 07

Outcome evidence

Every run leaves something you can inspect and compare.

A generic chatbot answers prompts. It connects to nothing and answers for nothing.

A custom agent runs your workflow: connected to your context, under your control.

UI BOARD · PRODUCT 01

Watch one real change become evidence.

Coding agents can edit source, but the human's visual intent and the proof of the rebuilt result stay disconnected. UI Board closes that loop.

Concept film · a fictional workspace showing where UI Board is headed · capabilities marked PLANNED are not built · not current product footage
  1. 01 · YOU

    Select + attach intent

    You select the exact element in the running app and write what should change. The intent stays pinned to that exact object and state.

  2. 02 · YOUR AGENT

    Your agent rebuilds

    Element, screen, state and intent hand off to your coding agent as one package. It edits the real source; the same screen is rebuilt from it.

  3. 03 · YOU

    Evidence returns to you

    Matched before/after captures come back with the changed region highlighted. You accept or reject, with evidence in hand.

REAL PRODUCT CAPTURE · ELEMENT SELECTED

Real UI Board capture: a QR code element selected in a running museum-ticket demo app, selection handles visible

REAL PRODUCT CAPTURE · INTENT ATTACHED

Real UI Board capture: a Start route button selected with the written intent attached to that exact element

REAL PRODUCT CAPTURE · REBUILT + VERIFIED

Real UI Board capture: the same museum-ticket screen rebuilt from source with the QR code back inside the ticket card
Real product captures · working evidence from purpose-built UI Board sessions, not customer traction · product pixels untouched
Native interface captureBuilt
Exact element + written intentBuilt
Coding-agent handoffBuilt
Matched before/after evidenceBuilt
Changed-region highlightingBuilt
Human accept / reject reviewBuilt

UI Board is working product capability. External pilots are the next validation step.

Six stations. Four gates. One accountable loop.

The same discipline runs through every engagement: context before action, explicit human intent, human control, and evidence after execution.

  1. Discover

    Sit inside the actual work: order, actors, break points.

  2. Map

    Decisions, data and system boundaries, named up front.

  3. Build

    The agent takes shape around the real operating context.

  4. Integrate

    Connected to the tools the workflow already runs on.

  5. Verify

    Real cases, reviewed by a person before they count.

  6. Improve

    Refined from observed use, not demo behavior.

  • CONTEXT GATE

    No action before the operating context is complete.

  • INTENT GATE

    Explicit human intent attaches to every change.

  • CONTROL GATE

    A person approves what matters.

  • EVIDENCE GATE

    Every outcome leaves reviewable proof.

Bring the workflow. We bring the agent.

EISORYN is a founder-led IT and AI product company from Hong Kong. It began with a repeated, concrete problem across real founder-built iOS products: coding agents could edit the source, but the visual intent and the proof of the rebuilt result stayed disconnected. UI Board turned that missing loop into a product, and the same conviction drives every custom agent we design.

  • BUILTUI Board · visual context and evidence for coding agents
  • OFFEREDCustom AI agent design and development
  • NEXTExternal pilots · repeat use and willingness to pay
  • VISIONAccountable agentic software, wherever agents act

“Next” and “Vision” are forward-looking direction: not current capability or commercial traction.