The Agents Were Never the Bottleneck Tony Malott · Source dated 2026-07-20 https://shareplane.malott.ai/artifacts/the-agents-were-never-the-bottleneck/ One artifact · Three reading lenses The Agents Were Never the Bottleneck By Tony Malott Three materially different teaching systems. One locked 1,103-word article. Choose architecture, diagnosis, or lived transition without changing the argument. 01 Architectural The Workbench An exploded operating substrate assembles around capable agent execution. Read this lens → 02 Diagnostic Fault Isolation A failure-attribution system separates model problems from operating-system failures. Read this lens → 03 Experiential Regaining Control A before, transition, and after narrative shows control moving from touch to governance. Read this lens → One work, several ways in Each lens contains the complete canonical article, evidence, sources, relationships, and public package. The presentation changes; the artifact identity and argument do not. Use the standard reading One canonical public record · Semantic Candidate v03 Download artifact package Read plain-text context Inspect package manifest About the author Tony Malott AI architect, systems engineer, and author publishing serious work on agentic systems, architecture, governance, automation, and the operating models around them. About Tony Résumé Email Tony SOURCE REFERENCES SharePlane Platform Issue #44 https://github.com/pinklon/shareplane-platform/issues/44 SharePlane Platform Issue #18 https://github.com/pinklon/shareplane-platform/issues/18 About pull requests https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/about-pull-requests About status checks https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/collaborating-on-repositories-with-code-quality-features/about-status-checks Writing effective tools for agents — with agents https://www.anthropic.com/engineering/writing-tools-for-agents Demystifying evals for AI agents https://www.anthropic.com/engineering/demystifying-evals-for-ai-agents ChatGPT Workspace Agents for Enterprise and Business https://help.openai.com/en/articles/20001143