Use Cases

Propolis is an autonomous QA platform that deploys swarms of browser agents to simulate user behavior, identify bugs, and generate e2e tests for web applications. The agents collaboratively explore websites, flag friction points, and propose tests that integrate into CI/CD pipelines. Available at $1000/month with flexible pricing options, it addresses the gap between deterministic testing and real-world usage coverage by treating agents as a canary group for quality assurance.

Mosaic is an agentic video editing platform that uses multimodal AI and a node-based canvas interface to automate video editing workflows. Built by former Tesla engineers, it addresses frustrations with traditional editors by enabling users to create reusable editing agents that can analyze video content and apply intelligent edits through natural language prompts. The platform combines visual intelligence (saliency analysis, object detection, emotion recognition) with a timeline editor and supports export to DaVinci Resolve, Premiere Pro, and Final Cut Pro.

AILA is a local-first autonomous agent platform built by Marco, a Berlin paramedic, that runs 100% on user hardware with zero remote override capability. The system uses a "Sovereignty Key" (physical hardware anchor) to ensure true ownership and prevent external control, even by the creator. Unlike cloud-based AI that users merely rent access to, AILA enables users to modify their agent's reasoning in plain language while maintaining complete autonomy and privacy.

This guide demonstrates how to build Claude Managed Agents with persistent memory capabilities that learn and retain user preferences across multiple sessions. Users create a memory store, configure a shopping agent with file access tools, and show how the agent automatically reads and updates customer preferences on repeat visits. The memory system uses a simple file-based approach mounted at /mnt/memory/ that both the agent and application can access via API.

This cookbook demonstrates building a Slack data analyst bot using Claude Managed Agents and Bolt for Python. Users mention the bot with a CSV file to receive narrative analysis reports in-thread, with support for multi-turn follow-ups within the same session. The implementation handles file uploads, streams agent progress updates, and manages session persistence across Slack threads.

The Claude Agent SDK provides built-in session management functions to build conversation history sidebars without writing custom parsers. This cookbook demonstrates how to list, read, rename, tag, and fork sessions stored as JSONL transcripts on disk. By leveraging SDK primitives like list_sessions(), get_session_messages(), and rename_session(), developers can implement session browsers for desktop apps, IDE extensions, and chatbots without managing file I/O directly.

This cookbook demonstrates building a Claude-powered threat intelligence enrichment agent that autonomously investigates Indicators of Compromise (IOCs) by querying multiple threat intel sources, correlating findings, mapping to MITRE ATT&CK, and generating structured reports for SIEM/SOAR integration. The agent uses Claude's tool-use capabilities to decide which intelligence sources to query, chain tool calls based on discoveries, and convert free-text analysis into analyst-ready JSON reports. The architecture uses simulated threat intel backends that can be swapped with real APIs (VirusTotal, AbuseIPDB, Shodan, etc.) without changing orchestration logic.