Archive

Smaller Jobs, Better Agents

Why AI fails in production, and the four-line test that catches it before launch.

Josh Miramant

Platform Decisions That Will Matter in 2026, Why Pipelines Are Being Built for Machines, and the State of LLMs

Jan 14, 2026

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7 min read

Platform Decisions That Will Matter in 2026, Why Pipelines Are Being Built for Machines, and the State of LLMs

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

Integration Code Is A Dangerous Place to Let AI Run Free, Durable Systems That Actually Scale, and How Smart Teams Pick GenAI Use Cases

Dec 17, 2025

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8 min read

Integration Code Is A Dangerous Place to Let AI Run Free, Durable Systems That Actually Scale, and How Smart Teams Pick GenAI Use Cases

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

Agents Replace Dashboards, the New Data Leadership Reality, and What Data Leaders Need to Know for 2026

Dec 3, 2025

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9 min read

Agents Replace Dashboards, the New Data Leadership Reality, and What Data Leaders Need to Know for 2026

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

Databricks Doubles Down on Product Analytics, Repos Are Breaking Themselves, and the New Velocity-First Mindset in AI Engineering

Nov 19, 2025

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8 min read

Databricks Doubles Down on Product Analytics, Repos Are Breaking Themselves, and the New Velocity-First Mindset in AI Engineering

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

The New Rules of Model Efficiency, Data Engineering’s Reinvention, and the Rise of AI Orchestrators

Nov 5, 2025

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9 min read

The New Rules of Model Efficiency, Data Engineering’s Reinvention, and the Rise of AI Orchestrators

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

The Coming AI Infrastructure Shift, The Hidden Poison in Model Data, and Why Analysts Still Get the Last Word

Oct 22, 2025

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8 min read

The Coming AI Infrastructure Shift, The Hidden Poison in Model Data, and Why Analysts Still Get the Last Word

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

Smarter Scaling Laws, The Risks of AI-Generated Code, and Data Engineering’s 2025 Reality Check

Oct 8, 2025

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8 min read

Smarter Scaling Laws, The Risks of AI-Generated Code, and Data Engineering’s 2025 Reality Check

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

Why Models Still Hallucinate, How Tech Leaders Measure Success, and Turning Reliability Into a Discipline

Sep 24, 2025

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7 min read

Why Models Still Hallucinate, How Tech Leaders Measure Success, and Turning Reliability Into a Discipline

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

AI Agents Are Growing Up, Your BI Stack Is Getting Smarter, and Delivery Still Depends on People

Sep 10, 2025

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8 min read

AI Agents Are Growing Up, Your BI Stack Is Getting Smarter, and Delivery Still Depends on People

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

AI Isn’t Waiting for Your Org to Catch Up, Spark’s Going Real-Time, and Why LLMs Aren’t Actually the Product

Aug 27, 2025

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8 min read

AI Isn’t Waiting for Your Org to Catch Up, Spark’s Going Real-Time, and Why LLMs Aren’t Actually the Product

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

Your ML Models Are Tuning You Out, Context Is the New Code, and Agents Are Redefining APIs

Aug 13, 2025

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8 min read

Your ML Models Are Tuning You Out, Context Is the New Code, and Agents Are Redefining APIs

Biweekly Data & Analytics Digest: Cliffside Chronicle

Josh Miramant

Smaller Jobs, Better Agents

Platform Decisions That Will Matter in 2026, Why Pipelines Are Being Built for Machines, and the State of LLMs

Integration Code Is A Dangerous Place to Let AI Run Free, Durable Systems That Actually Scale, and How Smart Teams Pick GenAI Use Cases

Agents Replace Dashboards, the New Data Leadership Reality, and What Data Leaders Need to Know for 2026

Databricks Doubles Down on Product Analytics, Repos Are Breaking Themselves, and the New Velocity-First Mindset in AI Engineering

The New Rules of Model Efficiency, Data Engineering’s Reinvention, and the Rise of AI Orchestrators

The Coming AI Infrastructure Shift, The Hidden Poison in Model Data, and Why Analysts Still Get the Last Word

Smarter Scaling Laws, The Risks of AI-Generated Code, and Data Engineering’s 2025 Reality Check

Why Models Still Hallucinate, How Tech Leaders Measure Success, and Turning Reliability Into a Discipline

AI Agents Are Growing Up, Your BI Stack Is Getting Smarter, and Delivery Still Depends on People

AI Isn’t Waiting for Your Org to Catch Up, Spark’s Going Real-Time, and Why LLMs Aren’t Actually the Product

Your ML Models Are Tuning You Out, Context Is the New Code, and Agents Are Redefining APIs

Past the Pilot

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