Stealth Browser MCP features 97 tools to bypass Cloudflare and other antibot systems.

https://github.com/vibheksoni/stealth-browser-mcp https://x.com/tom_doerr/status/2071309381455519803/photo/1

Karpathy's Agentic Engineering finally has proper tooling!

(built by Google)

Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight.

The problem has been that practicing this still requires a different tool for every phase:

- editor for code
- a terminal for scaffolding
- a browser for testing
- a cloud console for deployment
- and a separate framework for evals.

Every transition is a context switch.

The solution to production-grade Agentic Engineering is now actually implemented in Google’s Agents CLI.

It covers the entire workflow in one place for scaffolding, evaluating, and deploying ADK agents.

One setup command injects 7 ADK-specific skills into a coding agent's context, which lets it handle scaffolding, evals, deployment, and enterprise registration through natural language.

I tested this end-to-end by building a RAG agent from scratch using Claude Code.

It scaffolded the full project from the ADK agentic_rag template, generated 20 eval scenarios with LLM-as-judge scoring, and returned a quantitative scorecard.

Finally, it also deployed everything to Agent Runtime and registered the agent to Gemini Enterprise, so the entire org can discover and use it.

The video below shows this in action, and I worked with the Google Cloud team to put this together.

Agents CLI GitHub repo → https://github.com/google/agents-cli?utm_source=fnf&utm_medium=x&utm_campaign=google-cloud-june&utm_term=akshay-pachaar&utm_content=agents-cli-github

(don't forget to star it ⭐ )

I wrote up the full build covering all six steps from install to enterprise registration.

It includes the eval scorecard, the instruction loophole the eval caught before deployment, and what the deployment process actually looks like end-to-end.

Read it below.

Una joven de 23 años factura $4,700 al mes sin empleados, sin oficina y sin saber diseño.

Mientras sus amigos mandan CVs, ella vende paquetes de marketing completos a marcas de ecommerce.

El secreto es una combinación que casi nadie está usando todavía.
Claude + eComrads.

Así funciona de forma silenciosa:

Paso 1. Abre Claude y conecta eComrads vía MCP. En minutos enlazas el conector y tienes dentro a los agentes de producción creativa, sin dashboards externos ni mil pestañas.

Paso 2. Le das el nombre y el nicho de una marca. Los agentes de eComrads generan solos el paquete completo de campaña.

Carruseles listos para publicar. Guiones de vídeo con ganchos probados. Testimonios redactados. Textos para anuncios de pago.

Todo en menos de 12 minutos.

Paso 3. Empaquetas eso y lo vendes por $1,000 a una tienda online.
Cinco clientes al mes. $4,700 netos después de gastos.

Sin empleados. Sin Adobe. Sin título en marketing.

Las agencias tradicionales cobran lo mismo y tardan dos semanas. Ella tarda una tarde y usa una herramienta que la mayoría todavía ignora.

Eso es una ventaja de primer movimiento.

En seis meses esto estará saturado. Ahora mismo no lo está.

Guarda este post antes de que tu competencia lo vea primero.

第二次GEO公开课直播的资料如下：

1、《GEO内容工程操作手册与评估标准》https://t.co/P4Hx2BbsAN
2、《GEO内容工程系统研究报告》https://doc.laoyao.cn/t754wa
3、《GEO 内容工程方法体系与单篇内容实操教程》https://doc.laoyao.cn/54yx5b
3、《系统之美》《人人都该懂的工程学》
4、《GEO: Generative Engine Optimization》https://doc.laoyao.cn/0elhy1
5、《Generative Engine Optimization in digital repositories: optimizing visibility for generative AI》https://doc.laoyao.cn/fnf30e
6、《A Measurement Framework for Generative Engine Optimization Across AI Search Platforms》https://doc.laoyao.cn/ykiktr

相关资源：

1、GEO改写提示词：https://ai.laoyao.cn/ylOfC
2、GEO改写Skill：https://ai.laoyao.cn/cqWRs
3、GEO单篇内容GEO特征标注演示：https://doc.laoyao.cn/00j3ps

GEO系统与skill：

1、GEO Skills：https://github.com/yaojingang/yao-geo-skills
2、GEOFlow：https://github.com/yaojingang/GEOFlow
3、Meta skill：https://github.com/yaojingang/yao-meta-skill

课程PPT：
https://ppt.qiaomu.ai/decks/geo-open-class-2-handout