XPER DocEngine
Document platform for accessible customer communications: PDF/UA post-composition for existing PDFs and a high-performance composition engine for accessible PDF and HTML output.
Hi, I'm Tomas Hajek.
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CCM architecture, document systems, AI tools, and pragmatic engineering from Norway.
Co-founder, managing consultant, and lead architect at Xper Consulting AS.
Projects
UA1.dev
PDF/UA-1 validation for humans, CI pipelines, and AI agents. A small public tool with a drag-and-drop UI, deterministic API, compact automation mode, and a published ClawHub agent skill.
Featured
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The token tax of Norwegian Bokmål in LLMs
Published:• 2 min readA small experiment comparing English and Norwegian Bokmål token counts for the same official government text.
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AI agents are starting to clean the attic
Published:• 2 min readSome of the best agent work may be the boring cleanup: stale bugs, duplicate issues, old PRs, and half-finished ideas.
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Fixing OpenClaw with OpenClaw
Published:• 2 min readA small bug fix felt like an early glimpse of software that can help correct itself, with a human still in the loop.
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What years of work with Gjensidige taught me about customer communication
Published:• 5 min readA personal reflection on long-term CCM work with Gjensidige, and why customer communication systems matter more than they look from the outside.
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DocEngine now validates PDF/UA with veraPDF
Published:• 4 min readDocEngine can now validate processed PDFs against PDF/UA-1 using veraPDF, giving teams a clear standards-based result directly inside the accessibility workflow.
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AI-assisted 3D printing: from idea to object with my son
Published:• 3 min readA small weekend maker project with my son: using an AI agent, parametric CAD, and a 3D printer to turn a hanging solar bulb into a desk light stand.
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Taking ownership of your AI coding history
Published:• 3 min readAI coding assistant history is becoming valuable development memory. Developers should be able to export it, inspect it, archive it, and reuse it responsibly.
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Warp as an ACP Client
Published:• 3 min readAn experimental prototype of Warp running as an Agent Client Protocol client, separating the terminal UX from the user-owned agent runtime.
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The next AI interface may not be a chatbot
Published:• 2 min readChat is useful, but the next layer of AI interfaces may be dynamic workspaces that adapt to the task.
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The one-shot app fantasy
Published:• 2 min readAI can multiply a capable builder, but serious products still need judgment, architecture, QA, customer feedback, and maintenance.
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AI agents need workspaces, not just chat windows
Published:• 2 min readChat is a useful command layer for AI agents, but it is probably not the final interface. Real work needs state, structure, and rollback.
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From AI assistants to agentic delivery workflows
Published:• 2 min readThe next practical gain in AI-assisted development is moving from one AI helper per developer to shared, issue-driven delivery workflows.
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AI-assisted migrations need control, not magic
Published:• 2 min readAI can help with classification, mapping, and exception handling in migrations, but code and process must keep control over safety and quality.
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AI makes demos cheap, not products easy
Published:• 2 min readAgentic development makes impressive demos cheap, but real products still need architecture, ownership, tests, review, and operational discipline.