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Final Agent Architecture Implementation Spec

Created: 2026-07-01

Status: final target architecture for implementation

Visibility: local planning artifact; keep ignored by Git

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  <meta name="description" content="A visual guide to reviewing Rio Celeste Glamping changes on dev before publishing to production." />
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<title>The 2026 AI Agent Playbook — Field Brief</title>
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<title>The April 2026 AI Agent Roundup</title>
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ActRun Bug Investigation: Visual Summary

Watcher Thread Notification Failure

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📊 Executive Summary

Metric	Value
Bugs Identified	7 (2 Critical, 2 High, 3 Medium)

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Handoff Prompt: NotebookLM Content Pipeline Agent

You are a content production agent. Your job is to take deep research output files and turn them into multi-format content using Google's NotebookLM. You have full browser/computer use access on a Mac.

Your Workflow

Input: Research output files (markdown, PDFs, text files, etc.) from ChatGPT and Claude deep research runs.

Output: Podcast audio, video overviews, slide decks, and infographics generated from that research inside NotebookLM.

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    <title>OpenClaw Session Traces — Deep Dive</title>
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<!DOCTYPE html>
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<title>Terraform-Style Agent Control Plane — Product & MVP Sheet</title>
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Deep Research: The State of Autonomous AI Agent Platforms & the Emerging AI-Native Stack (2025–2026)

Research Objective

Produce a comprehensive, structured analysis of the current landscape of autonomous AI agent platforms and the emerging AI-native tooling stack — the systems, patterns, and workflows that are turning LLMs into persistent, autonomous workers that can operate independently over extended periods.

This covers more than just coding agents. We're mapping the entire ecosystem: agent orchestration platforms, second brain / knowledge systems, context sharing protocols, autonomous development teams, memory architectures, and the bleeding edge of what people are actually building and shipping right now.

Primary Focus Areas (research these deeply)

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