KTYAPTECH AI Control Center

KTYAPTECH AI Control Center is an AI project-management platform built to bring project tasks, work packages, run states, output reports, and preview workflows together in one operations space.

AI · Developer Tools · Workflow Automation · Project Operations

Explore the control system Talk about a similar platform

The AI is working — and the team can clearly see what's happening.

In AI-assisted development work, sending a single instruction isn't enough. Which task is running, which package is done, where a failure happened, which checks passed, and whether the resulting app actually works all need to stay visible.

The interface is built to make dense technical information understandable, surface critical states quickly, and present long-running work in a way that builds confidence. Errors and blockers are never hidden — the user always keeps a sense of control.

Desktop manages information density; mobile keeps the priority controls within reach, with accessible status colours and keyboard support throughout.

The problem it addresses

01Tracking multiple projects and tasks at the same time
02No visibility into progress during long development runs
03The gap between a package marked "done" and a feature that actually works
04Runtime, database, preview, and build issues scattered across tools
05Outputs, logs, and verification results living in separate places
06Tracking usage limits and run durations
07Unclear points where human approval is required

The central operating model

Core capabilities

Project and repository selection
Task/package-based work management
Active run-state monitoring
Completion percentage or package progress
Run duration and usage-limit visibility
Log and error display
Starting a preview
Frontend, backend, and service status checks
Test/build result display
Final report and commit information
Surfacing situations that need user intervention
Managing multiple runs or sessions

Product experience

Active-project view
Package/task progress system
States separated by colour and icon
Successful, running, pending, blocked, and failed states
Live log/event stream
Preview links
Retry and rollback behaviour after a failure
Usage-limit indicators
Fast access to critical states on mobile
A clear waiting experience for long-running tasks

The interface visuals below are representative compositions based on the product's verified features — not literal screenshots.

Technical approach (conceptual)

Control Center interface
Task and run management
Project/repository connection
Runtime and service controls
Test/build verification layer
Preview management
Log and reporting system
Checkpoints requiring user approval

Design principles

Making dense technical information understandable
Surfacing critical states quickly
Presenting long-running work in a way that builds confidence
Never hiding errors or blockers
Giving the user a sense of control
Managing information density on desktop
Keeping priority controls in reach on mobile
Accessible status colours and keyboard support

Outcome & value

Visibility into AI-driven work
Tracking project and task status from one place
Catching errors and blockers earlier
Evaluating work that looks "done" alongside its actual verification results
Bringing preview, testing, and reporting into one flow
Making the points that need human judgement explicit

Product roadmap

Available now

Task/package-based work management
Status and progress tracking
Log and error visibility
Starting a preview

Active development

Expanding the test/build verification flow
Richer reporting detail

Research / future direction

Advanced scenarios for a multi-project operations view

Next project

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