shellX
A desktop workspace for AI agents—chat, build, browse, and create with Grok, Claude Code, and Codex.
We design AI systems that connect tools, understand data, and move everyday work forward—with measurable outcomes and clear control.
Our public work ranges from agent software and open-data tools to practical consumer experiences. Each project is live, testable, and designed around a clear job.
A desktop workspace for AI agents—chat, build, browse, and create with Grok, Claude Code, and Codex.
A video editor where you and your AI agent share one timeline, with local editing and a reviewable change history.
An agent-driven engine for motion graphics and video, with local rendering, controlled permissions, and receipts you can verify.
A cloud drive on your own server, with file sharing, revision history, backups, WebDAV, and desktop sync.
Explore Latvian public finance through source-backed datasets, filters, visual trends, and detailed drill-downs.
Build, preview, save, and export a clean professional CV directly in the browser.
Discover energy-efficient twin homes in Lielvārde, with full finishes and a clear, focused property presentation.
An AI-assisted Latvian fantasy symphonic metal project that brings music, artwork, and storytelling together.
We start where time is being lost, connect the right systems, and add AI only where it improves the result.
Remove repetitive handoffs across documents, inboxes, spreadsheets, and internal tools with reliable, auditable flows.
Build assistants for support, internal knowledge, classification, and guided work—connected to the context they actually need.
Turn operational data into clear dashboards, recurring reports, and decision-ready signals with transparent logic.
Connect AI to CRM, ERP, e-commerce, and custom software through controlled APIs, webhooks, and integration layers.
A small, measurable first step keeps risk low and makes the value visible before the system grows.
We identify the repeated steps, decisions, data sources, and boundaries around one valuable workflow.
We connect the tools, implement the automation, and keep important actions visible and reviewable.
We test the real workflow, measure the outcome, and expand only when the evidence supports it.
Most projects begin with one concrete process and grow only after the first version proves useful.
It works best on repetitive workflows such as reporting, request routing, classification, and data updates across business systems. We start with the process, not with a model.
Yes. We build website and support assistants that answer common questions, collect useful context, and route requests to the right team or workflow.
In most cases, yes. We use APIs, webhooks, and controlled integration layers so data and actions move without unnecessary manual copying.
We choose one measurable workflow, map its data and decisions, build a focused first version, and validate the result before expanding it.
Tell us where work slows down. We will suggest a practical first step with a clear boundary and measurable result.
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