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Notes on verified analytics.
Engineering, research and perspective from the team building aidnn.
Cockpits, not Dashboards
Neutron Apps are built for active work: observe, investigate and act in one pane, with a record of how you got there.
Quick Reflexes with Jev
Reflex agents turn learned behavior into fast, real-time analytics, while planners keep the hard reasoning.
Trust, but verify
Agentic analysis moves number-checking into queries, joins and code. A $3,813.58 disagreement shows why inspection has to be easy.
What makes a good document parser great?
Finance agents revisit the same contract as questions change: renewal risk, payment terms, liability, missing notice dates.
Everyone's selling the same model, but are they?
One open-weights model, five vendors, different results.
Are the Chinese models good now?
Open models match on easy and medium tasks, trail slightly on the hardest, and win on cost and speed.
Introducing NeoCortex: The Self-Learning Model Behind Verified Analytics
Four authority tiers, Dreamtime consolidation and a review workflow that turns answers into lasting intelligence.
The Future of APIs: Forward Deployed Agents and Agent Cards
How agent cards and agent programming interfaces may reshape enterprise integrations.
How AI Analytics Reduces Data Analyst Costs and Reporting Bottlenecks
Less manual SQL reporting, better data quality, decisions that scale.
Snowflake + Isotopes AI: aidnn for Faster, Trusted NRR Analytics
Automating net revenue retention analytics on Snowflake.
What Snowflake NRR Reveals About the Future of AI Analytics
What Snowflake's NRR model implies for trusted BI.
Why Verified Analytics? Trust = Transparency + Repeatability + Verification
Verified analytics as transparent, repeatable proof for high-stakes decisions.
Your Data Isn't Dirty. It's Structurally Fragmented. And It's Getting Worse.
Messy enterprise data is structural, and "clean it first" is a trap.
From Messy Data to Verified Analytics: Why Most AI Analytics Tools Fail Before They Start
Why AI analytics tools stall on messy data, and what cross-system verification changes.
Next step
See aidnn on your messiest data.
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