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Filter by use case, model, framework, cost basis, and how recent the writeup is. Cost is only filled in when the source states it — otherwise it's “Not stated.” Separately, a dashed “Est.” tag is a WhatWeRun estimate from public list prices, with its assumptions shown on the stack page. Writeups older than about six months are marked as an older setup, not hidden.
Cost per outputSome teams report what one finished piece of work costs (a code change, a request, an investigation) instead of token prices. We tag that only when the writeup states it, and label benchmark or eval figures. Show those stacks.
12 stacks matching
aws.amazon.comNatera SWARM lab-operations agent
Diagnosing lab instrument support tickets for Natera's cfDNA testing labs: a structured diagnostic report on every Jira ticket before an engineer opens it, plus interactive troubleshooting
Pinterest's Analytics Agent and its tuning loop
An internal Analytics Agent that searches Pinterest's data ecosystem (tables, dashboards, metrics) to answer questions, plus an automated 'loop engineering' process that improves how reliably it follows required steps
aboutamazon.comThe agent teams that build AWS Emulator
Autonomous agents that write, test, and fix every line of AWS Emulator, a downloadable local emulator of AWS services, with no human-written or human-reviewed code
langchain.comLangChain's GTM Agent sales artifacts
LangChain's internal GTM Agent building sales artifacts (account plans, proof-of-value docs, proposal decks, onboarding plans) from deal context, and suggesting the right one before customer calls
langchain.comWorkday's internal Agent Platform
An internal developer platform for building, deploying, and running AI agents for HR, finance, and IT on Workday's infrastructure, with auth, security, compliance, and audit built in
Dropbox's file-acting agent
An agent inside Dropbox that answers questions about a user's files and carries out tasks such as organizing folders, renaming files, and preparing materials to share
lovable.devLovable's app-building agent
Chat-driven creation, hosting, and iteration of web apps for people who can't code; users have created more than 70 million projects
Datadog's Insights agent, tuned by its own traces
The agent behind Datadog Agent Observability Insights, which analyzes agent traces to find cost and reliability problems; Datadog uses Insights on that agent's own traces to cut tokens and fix failing tool calls
Netflix Pensive AI failure diagnosis
AI error extraction and on-demand root-cause debugging for failed data and ML workloads on Netflix's data platform (Maestro, Spark, Trino, Druid, Titus), where roughly 100,000 workloads fail on peak days
shopify.engineeringShopify River on Remote Dev (mobile)
Shopify's Slack agent River building, testing, and proving mobile (iOS and Android) changes on remote Macs, from bug fixes and PR feedback to overnight automated fixes
Stripe Radar's Agentic MLE
AI agents that run ML experiments on Shield, Radar's transaction-fraud model: investigating missed fraud, implementing candidate features, training and evaluating models against a baseline
An anonymous startup's production AI infrastructure (HN)
Production AI infrastructure at a relatively small startup with a few thousand monthly active users, covering chat, transcription, image generation, embeddings, RAG, and user-facing tool integrations