All Articles — Page 2

Learn how to design quality gates that balance strictness and flexibility using 3-level analysis and a two-stage fail/warn system.

What does it mean to automatically retrieve earnings data every morning at 5am? Using medallion as a case, this article examines labor cost comparisons, data quality, investment rationale, and paths to financial analysis for executives.

Fix false positives in quality gates using stripCodeContexts and proximity analysis to resolve self-contradictions.

A deep dive into medallion's design for automated earnings collection. Covers XBRL/PDF reconciliation and YAML-driven pipelines.

From AI usage to AI delegation: a three-axis executive framework on judgment separation, responsibility, and workflow redesign.

What does it mean to build an organization where AI agents share responsibility? Drawing on Yakumo's Synapse operations, this article maps three phases from passive AI adoption to full business redesign, along with the executive decision criteria at each stage.

Building 6 products without engineers: skill delegation, CLAUDE.md design, and staged authority handoff for executives and PMs.

Principles for designing a harness that safely delegates work to AI agents. Covers director agents, skill delegation, fallback phases, and deterministic skills in Claude Code.

How to build a cross-functional agent organization on Claude Code. Full disclosure of the {domain}-director pattern, skill delegation, and .claude/agents/ structure. For senior engineers implementing AI agent harnesses.

Management decision-making for promoting a contract-built codebase to a proprietary product. Using bateson Booking Engine as a case, this article covers Phase A→D staged investment, sales funnel design, and the mid-term strategy of running contract work alongside product development.

We published 48 articles in 5 days, then pulled them all. 11 failures, HUMAN_INPUT markers exposed, 76 internal links dead. Here is the complete record—from detecting the problem before Google indexed us, to rebuilding the pipeline.

In the AI-scale era, owned media differentiation comes from engine investment decisions. Using mcluhan as a case, this article organizes mechanical detection investment allocation, E-E-A-T strategy through transparency disclosure, and retro-accumulated organizational learning for marketing executives and business owners.

Full disclosure of the 4 abstraction rules that promote a contract-built codebase to a commercial license. Phase A→D stage design, adapter pattern, and tenantId allow SaaS prep to advance without breaking changes, while dogfooding continues.

Full disclosure of mcluhan's design: a 4-state machine, 10-item pre-publish Gate, and SSOT-backed rules that mechanically stop AI content quality failures before human review. Built from the wreckage of 11 failures in Phase 0.