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What we learn shipping AI, architecture and technology leadership for real teams. Costs, teardowns and decisions, written by the people doing the work.

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2,240 posts
GUIDEUsing Opus 4.8 for Data Cleaning Pipelines: Patterns and Pitfalls22 Jun 2026
GUIDEUsing Opus 4.8 for Loan Origination: Patterns and Pitfalls22 Jun 2026
GUIDEUsing Opus 4.8 for Sentiment Analysis: Patterns and Pitfalls22 Jun 2026
GUIDEUsing Sonnet 4.6 for HR Onboarding Automation: Patterns and Pitfalls22 Jun 2026
GUIDEUsing Sonnet 4.6 for Meeting Note Summarisation: Patterns and Pitfalls22 Jun 2026
GUIDEUsing Sonnet 4.6 for PDF Document Pipelines: Patterns and Pitfalls22 Jun 2026
GUIDEUsing Sonnet 4.6 for Voice-of-Customer Analysis: Patterns and Pitfalls22 Jun 2026
GUIDEApache Superset Custom Visualizations: Patterns from Real Deployments21 Jun 2026
GUIDEApache Superset for Executive Reporting in Insurance21 Jun 2026
GUIDEApache Superset for Financial Services: A 2026 Adoption Guide21 Jun 2026
GUIDEApache Superset for Operational Dashboards in Healthcare21 Jun 2026
GUIDEApache Superset + Snowflake: Security Model21 Jun 2026
GUIDEApache Superset vs Domo: 2026 Decision Framework21 Jun 2026
GUIDEApache Superset vs Hex: 2026 Decision Framework21 Jun 2026
GUIDEClaude Tiered Inference: The 2026 Cost Lever You Are Underusing21 Jun 2026
GUIDEHaiku 4.5 in SaaS: A 2026 Adoption Playbook21 Jun 2026
GUIDEMigrating from Looker to Apache Superset: The D23.io Playbook21 Jun 2026
GUIDEMigrating from Looker to Superset for Australian Government Organisations21 Jun 2026

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