Archos LabsThe Translation Layer
Where AI programs break.
The Translation Layer is the only AI newsletter written by someone who has broken these programs from the inside and is building the replacements.
Data as a Decision Infrastructure
Single Source of Truth Without Religion
Golden sources ossify. Teams route around them. Here's how to build data truth that actually serves decisions — without turning governance into dogma.
4 min read · Published
Human-Centered Transformation
AI Governance Decision Rights and Who Owns What
AI governance breaks down when no one owns the decisions encoded in prompts and agents. Here's how to map authority before liability finds you.
4 min read · Published
AI as Strategy
Agent Roadmap 2026 Starts With Guardrails
Deploying agents without sequencing, metrics, and guardrails creates production chaos. Here's how to build a 2026 agent roadmap that treats agents as…
4 min read · Published
The Execution Layer
Observability Engineering Prevents Burnout
Losing visibility kills teams before it kills systems. Observability engineering closes the gap between what your metrics show and what's actually happening in…
4 min read · Published
Data as a Decision Infrastructure
Dimensional Modeling for Agents
Agents execute blindly — they can't compensate for semantic ambiguity the way analysts do. Sloppy dimensional models don't just confuse AI agents; they mislead…
4 min read · Published
Human-Centered Transformation
Psychological Safety in Automation Starts Before Rollout
Automation resistance isn't about tools — it's about relevance. Build psychological safety before rollout or watch adoption stall, shadow processes multiply…
4 min read · Published
AI as Strategy
Build vs Buy Decision Framework for Systems Architecture
Most companies don't make a build vs buy decision — they slide into one. Here's how to evaluate control, exit cost, and lifecycle debt before the vendor's…
3 min read · Published
The Execution Layer
Applied AI Engineering Failure Modes and How to Prevent Them
AI projects don't fail because the model was wrong — they fail because the wiring around it was lazy. Here's what robust applied AI engineering actually…
4 min read · Published
Data as a Decision Infrastructure
Data Contract Discipline Starts with Inputs, Outputs, and SLAs
Bad data you can't trace is worse than no data at all. Real data contracts define inputs, output shape, and enforceable SLAs — or they're just wiki pages…
4 min read · Published
Human-Centered Transformation
Copilot Enablement That Works
Generic Copilot rollouts fail because awareness doesn't change behavior. Role-based playbooks with before/after proof do — they give Copilot a job and make…
4 min read · Published
