AI Playbooks
How Agents Can Use Filesystems for Context Engineering Source: Original LangChain Blog --- Introduction: Filesystems as a Key Tool for Deep Agents Deep Agents have a core capability: using filesystem tools to read, write, edit, list directories, and search files within their own environment. Why is this important? To answer
AI Playbooks
# **Complete Developer Tutorial for Nano Banana Pro**  Discover how this **next-generation AI model** — with **reasoning capability**, **real-time search grounding**, and **stunning 4K output** — can help you build **complex and highly creative applications**. If the Flash model (**Nano Banana*
AI Playbooks
Introduction: AI Is No Longer Just an Autocompletion Tool AI models are advancing at astonishing speed, expanding their capacity to handle complex, multi-step tasks. Today’s leading systems can sustain continuous reasoning for hours. METR (Aug 2025) data shows state‑of‑the‑art models can reason for 2 hours and
AI Playbooks
The Core Competitive Edge of AI Agents: Turning Vague User Needs into Executable Steps This practical guide breaks down the underlying logic behind how an AI Agent correctly decomposes tasks — from core prerequisites and scientific methods to real-time safeguards and case studies. It covers key aspects like multi-channel information collection,
AI Playbooks
# Automating the Company’s Daily Report ## A Detailed Breakdown of My Process, Challenges & Solutions Previously, we discussed applying **automation thinking** to repetitive tasks. I used the example of **automating our company's daily report**. Today, I’ll walk you through: - **Exactly how I implemented it** - **The
AI Playbooks
In a time where AI can generate code, design ideas, and occasionally plausible answers on demand, the need for human critical thinking is greater than ever. Even the smartest automation can’t replace the ability to ask the right questions, challenge assumptions, and think independently at this time. This essay
AI Playbooks
Today, we’re sharing new ways Vertex AI Studio – Google’s developer console for production-ready AI – will help teams turn ideas into scalable, production gen AI apps. We've introduced powerful new tools that directly address developer needs for efficiency and team-based work. Now, you can: - Use agents
AI Playbooks
Nowadays, computers can comprehend and produce human-like language thanks to Natural Language Processing. And this opens up numerous opportunities for you as a developer. This guide will teach you how to create NLP projects from scratch. It includes details on how to organize your workflow, utilize the appropriate tools, and
AI Playbooks
Nano Banana Pro: A Massive Upgrade for Image Creation Built on Gemini 3, Nano Banana Pro is our most advanced image model to date — designed to bridge the gap between imagination and professional-grade execution. Now available in the Gemini app and rolling out in AI Studio, Vertex, and more platforms,
AI Playbooks
Announcing Nano Banana Pro (Gemini 3 Pro Image) We’re excited to unveil Nano Banana Pro, a high-fidelity image generation model built on top of Gemini 3 Pro. This release gives developers studio-grade image generation capabilities and follows our earlier launch of Nano Banana (Gemini 2.5 Flash Image). Since
AI Playbooks
Large Model Intelligence — Discussion This article offers a casual exploration of thoughts on large language model (LLM) reinforcement learning (RL). Inspiration comes from countless exchanges with my good friend @真中合欢 during RL training discussions — he often warns me not to casually add “technique stuffing”. He convinced me, and now I’
AI Playbooks
19 November 2025 — Newsletter Workflow & Automation This morning I sent out my weekly-ish Substack newsletter and recorded a YouTube video walking through my workflow. It’s a chain of interconnected tools — Django + Heroku + PostgreSQL → GitHub Actions → SQLite + Datasette + Fly.io → JavaScript + Observable → Substack — held together with a substantial amount