Audit-Ready LLM Document Review Means Provable Coverage
Audit-ready LLM document review, decoded from AWS's Amazon Quick lease sweep: the Adjudicated Query pattern for provable coverage of every document.
Category
Use Cases
Real-world examples of AI in action across industries and workflows, focused on what teams actually built and the results they got.
17 posts
OpenAI Proaction Case Study Decoded, Claim by Claim
The OpenAI Proaction case study decoded claim by claim, from the 60% sales lift to the 75+ hours saved and what each measures before you copy the stack.
Is a Consumer AI Agent Worth It? $550 Saved, $64 Wasted
Wired's consumer AI agent trial audited. $550 saved, $64 wasted, with per-task economics, failure modes, security risks, and the adopt-versus-build call.
Devin GPT-6 Astra Self-Testing Moves Review to Evidence
Devin GPT-6 Astra self-testing shifts code review from reading diffs to auditing evidence. Here is the pattern, its failure modes, and audit criteria.
Netflix MAPS Teardown and What Actually Transfers
Netflix MAPS teardown: how multimodal asset personalization ranks artwork and previews per member, what results it drives, and which patterns transfer.
Meta's AI Second Brain Runs on a Knowledge Supply Chain
Meta's AI second brain shows why agents live or die on the knowledge supply chain, not the retrieval stack, and what small teams can copy first.
AI Agent Memory Lessons From LinkedIn's Hiring Assistant
AI agent memory lessons from LinkedIn's hiring assistant. This four-layer teardown covers token payback math, decay rules, and privacy classes to copy.
How WhatsApp Scam Alert Detects Scams It Cannot Read
WhatsApp Scam Alert flags scams without Meta reading your messages. See how on-device AI works under end-to-end encryption and how to copy the pattern.
AI-Assisted Product Launch Teardown of Stampli's 68% Claim
A builder's teardown of Stampli's 68% launch hour cut with Codex and ChatGPT, and the AI-assisted product launch workflow your team can copy.
Stacked Pull Requests Relocate AI Mega-PR Review Cost
Stacked pull requests relocate AI mega-PR cost into rebase cascades and multiplied CI runs. They win above a measurable threshold and lose below it.
LLM-Native Recommendation Architecture After Netflix GenRec
Netflix's GenRec replaces thousands of hand-crafted ML features with an LLM-native recommendation architecture. Explore the engineering trade-offs for builders.
How MCP Servers for AI Agents Bridge Fragmented Data
MCP servers for AI agents dissolve fragmented operational data silos, shifting the bottleneck from integration to query planning and context engineering.