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#case-study

Lessons from letting two coding agents (Claude Code + Codex) live inside an MMO for a week: give them sight, not a shell

Reddit r/AI_Agents ↗ · 6d ago

A one-week case study embeds Claude Code and Codex CLI as party members on an offline WoW 3.3.5a server, yielding design lessons like 'sight without authority', typed action vocabularies, explicit refusal signals, and schema design that follows natural speech.

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#case-study

@LangChain: “Typically the manual mechanism takes about 20 days. Just with the first pass, we are able to drive it down to 10.” @sk…

X AI KOLs Timeline ↗ · 2026-10-29 Cached

SkyWorks 使用 LangGraph 和 LangSmith 部署智能体并统一运行评估,将根因分析时间从约20天缩短至10天。这是 LangChain 分享的客户案例。

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#case-study

We tried to make our engineering team 3× more productive with an AI harness. We didn’t - but here’s what changed.

Reddit r/AI_Agents ↗ · 2026-10-28

An engineering team shares results from rolling out an AI harness, reporting a 43% increase in story points completed, 16% faster turnaround, and 50% less hands-on time per task, though they fell short of their 3× productivity goal.

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#case-study

Anima helps clinics cut call waits by 75% with GPT-6 and GPT-Live

OpenAI Blog ↗ · 2026-10-23 Cached

OpenAI 客户案例:英国医疗平台 Anima 使用 GPT-6 处理临床文档、GPT-Live 驱动 AI 接线员 Andi,帮助诊所将电话等待时间从 40-50 分钟降至 10 分钟(减少 75%),文档处理效率提升 2-4 倍,目前已覆盖超 1400 万患者。

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#case-study

@LangChain: Nu by @getnuman is an AI health coach in regulated healthcare, built on LangGraph + LangSmith. Here's how their team sh…

X AI KOLs Timeline ↗ · 2026-10-19 Cached

LangChain shares a case study on how Numan built Nu, an eval-first AI health coach on LangGraph and LangSmith, navigating medical device regulation by moving beyond static single-turn and scripted multi-turn evals to conversation-aware evaluation frameworks.

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#case-study

Everyone on our team was already using Claude. That was the problem.

Reddit r/AI_Agents ↗ · 2026-10-16

BotsCrew shares how it standardized Claude adoption across sales, finance, people ops, marketing, and engineering using three components—instructions, context connectors, and playbooks—yielding major time savings in proposals, reporting, hiring, and case study production.

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#case-study

How Grupo Boticário uses AI to strengthen human connections

OpenAI Blog ↗ · 2026-10-16 Cached

OpenAI case study on how Brazilian beauty giant Grupo Boticário uses a proprietary AI agent orchestration platform built with OpenAI models, running hundreds of agents across its reseller and franchisee ecosystem to personalize service and optimize its supply chain.

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#case-study

@anyscalecompute: @ChefRobotics trains the Vision-Language-Action models behind its food assembly robots 10x faster on Anyscale, with 92%…

X AI KOLs Timeline ↗ · 2026-10-15 Cached

Chef Robotics 训练其食品组装机器人背后的 Vision-Language-Action 模型速度提升 10 倍,在 16 块 A100 上实现 92% 的多 GPU 扩展效率,依托 Anyscale 与 Ray 平台加速分布式训练。

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#case-study

How I automated my mom's wedding venue business

Reddit r/AI_Agents ↗ · 2026-10-14

开发者分享如何为其母亲的意大利婚礼场地业务构建开源 AI 智能体,实现从询价到报价的端到端自动化,并内置细粒度权限系统与自改进机制,每月节省 120+ 小时。

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#case-study

We built a WhatsApp bot for an EA Sports FC campaign that could only say one thing. 15K conversations, +23% sales.

Reddit r/AI_Agents ↗ · 2026-10-14

BotsCrew 分享了为 EA SPORTS FC 26 制作的极简 WhatsApp 机器人营销案例:仅用一条托尼·克罗斯的真实语音留言和一个 CTA,在 4 天内实现 1.5 万次对话、约 40% 转化率和 23% 销售提升。文章重点讲述了负载测试、WhatsApp 封号风险应对、流量突发扩容与多渠道追踪等工程挑战。

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#case-study

@LangChain: How @OrangeBusiness evaluate agents in their enterprise AI platform: RAG quality: golden datasets, retrieval recall, an…

X AI KOLs Timeline ↗ · 2026-10-14 Cached

Orange Business 分享其企业 AI 平台 Live Intelligence 如何基于 LangChain 与 LangSmith 构建,涵盖 RAG 质量评估、Agent 行为测试与生产环境可观测性。该平台已在 12 万员工中部署并服务 150+ 客户,选择 LangChain 主要出于模型中立性与欧洲数据主权考虑。

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#case-study

David Rudnick on "borderline impossible" process of designing Arsenal typeface

Hacker News Top ↗ · 2026-10-12 Cached

It's Nice That 走访设计师 David Rudnick 与阿森纳创意总监 Johnnie Campbell,揭秘为阿森纳耗时四年打造的定制黑体字体家族 Rocastle 的设计过程。

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#case-study

@mylifcc: OpenAI just disclosed a pretty outrageous engineering case study. With just 2 engineers + Codex + GPT-5.5, they complet…

X AI KOLs Timeline ↗ · 2026-10-11 Cached

OpenAI 用 2 名工程师配合 Codex 和 GPT-5.5 将核心存储服务 Habitat 从 Python 重写为 Rust,CPU 效率提升 6 倍、内存效率提升 15 倍,并承担 95% 的生产请求,展示了 AI 编程对大型系统重构成本结构的潜在改变。

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#case-study

@LangChain: 60k queries handled 500+ customer accounts 85%+ of sessions resolved without a support ticket 250+ cases auto-detected …

X AI KOLs Following ↗ · 2026-10-09 Cached

LangChain 分享 Snyk 如何将内部支持助手 Snyk Assist 打造为客户产品功能:基于 LangChain + LangGraph 构建,LangSmith 负责可观测性与评估,已处理 6 万次查询、85% 会话无需人工工单解决。

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#case-study

Large Language Model-Assisted Preparation of Transportation Management Plans: A Case Study with WisDOT WisTMP System

arXiv cs.CL ↗ · 2026-10-09 Cached

本文提出一个基于大语言模型的框架,利用微调的开源 LLM 自动化生成交通管理计划(TMP),并在威斯康星州交通部的 WisTMP 系统中进行案例研究,发现微调显著提升性能,但模型仍难以生成项目特定理由和准确的成本估算。

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#case-study

@yibie: https://x.com/yibie/status/2108395080319128051

X AI KOLs Timeline ↗ · 2026-10-09 Cached

AI content company Every publicly reviews its half-year journey building enterprise agents, shifting from "one agent per person" to company-wide shared, managed agents, and distills four key design decisions and five costly lessons learned.

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#case-study

How Oracle turns days of work into minutes with ChatGPT and Codex

OpenAI Blog ↗ · 2026-10-08 Cached

Oracle case study shows over 100,000 employees using ChatGPT Work and Codex to compress days of specialist work into minutes across recruiting, business analytics, and site reliability engineering.

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#case-study

@FanShifu: Can you believe it? A Turkish developer built a Tai Chi wellness website. In the past 30 days, it’s generated about $2.…

X AI KOLs Timeline ↗ · 2026-10-06 Cached

A Turkish developer's Tai Chi wellness site, Taichi Coach, reportedly earns ~$2.7K/month on $20 costs by ranking highly in Google's YMYL health niche through a sophisticated E-E-A-T strategy: transparent legal entity disclosure, an internal structured research library, and conservative, evidence-hedged copywriting with prominent safety disclosures.

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#case-study

From $5.86 to $1.21 a day: what actually cut our AI agent bill (6 agents, real numbers)

Reddit r/AI_Agents ↗ · 2026-10-06

A publishing company details how it cut daily AI agent API costs from $5.86 to $1.21 (a 79% reduction) by reducing agent wake-ups and switching from timer-based heartbeats to on-demand execution, while sharing lessons on caching, cost-per-result measurement, and moving agents off a laptop onto a server.

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#case-study

Our agent had a hard rule: never rewrite anything in the ERP. The reason had nothing to do with AI.

Reddit r/AI_Agents ↗ · 2026-10-06

BotsCrew shares a case study of a procurement agent whose strictest guardrail—never re-writing ERP acknowledgments—came not from hallucination concerns but from the ERP wiping line notes on re-acknowledgment. An ERP update preserving notes unlocked a needed workflow, illustrating that an agent's ceiling is often the system of record, not the model.

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