# Claude Managed Agents Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/claude-managed-agents
> Markdown URL: https://aitinkerers.org/technologies/claude-managed-agents.md
> Technology record last updated: 2026-07-14T10:25:15Z
> Generated: 2026-09-20T17:50:46Z

Claude Managed Agents is a suite of composable APIs that handles the entire infrastructure layer (from secure sandboxing to tool execution) so you can build and deploy autonomous AI agents at scale.

Anthropic takes the operational headache out of agentic workflows by running Claude on its own secure, managed infrastructure instead of yours. Through four core primitives (agents, environments, sessions, and events), this service manages persistent containers, executes tools via native Model Context Protocol (MCP) integrations, and handles long-running asynchronous tasks. You define the skills, tools, and success criteria: Anthropic handles the sandboxing and state management for a flat rate of $0.08 per session hour plus standard token costs.

- Official technology site: https://platform.claude.com/docs/en/managed-agents/overview
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Your BD Pipeline Is A Good First Autonomous Agent](https://boston.aitinkerers.org/talks/rsvp_Vjy6qYY7UX0)

An end-to-end BD pipeline that runs itself on a weekly cron: it sources leads, researches them, drafts the outreach, and emails me the two or three things to do this week. Sourcing → research → draft → nudge, with a lightweight CRM to run it from. One rule holds everywhere: the system researches and drafts; a human always sends. Why this is worth five minutes of a GTM room’s time: almost every agent demo shows one primitive at a time — here’s tool use, here’s a cron, here’s memory. That leaves you knowing the parts and not the shape. BD is a workflow everyone in this room already has opinions about, which makes it a good place to see the whole surface area doing real work at once. The demo is a guided tour of that: I trace one target end to end, and name the primitive earning its keep at each step. The tour, following one company through the system: It gets found. The Opportunity Radar treats my ICP as a graph rather than a list. It starts from private-equity sponsors active in my space and walks outward — a locked sub-agent maps each fund’s portfolio in parallel threads, and qualified portfolio companies auto-feed the pipeline. The frontier of unvisited sponsors lives in a memory store, so the walk resumes each Monday instead of cold-starting. Ownership structure is what makes a buyer resemble my last buyer, so the graph edge qualifies better than a keyword match. It gets carded. The Radar pushes the target into my CRM over MCP — the CRM is itself an MCP server, so the agents and I drive the same pipeline through the same tools. It gets researched. A graded session produces a seven-section pre-call brief off the live web. The run ships with a rubric; the platform scores the deliverable and sends the agent back to revise before I see it. The verdict lands on the card. It gets formatted. Skills load the output contract on demand — including a bundled validate_blocks.py the agent runs against its own draft so the CRM can parse the people and portfolio blocks. It gets drafted. A nightly cron drafts outreach from a compiled brand pack. Secrets come from a vault injected at egress — the agents never see a key. It stops. The draft sits at the gate. Nothing sends. Pipeline status is never machine-written. What I’ll show live: the Monday-morning board with fit scores and grader verdicts that arrived without me; one target’s drawer opened — why-now, signals, key people, dossier, draft; the sweep receipt showing what the Radar covered and where it stopped; a rubric and the revision it forced; and the eval scorecard where a prompt change shows up as a delta against a pinned baseline.

- Event context: Back from Summer: AI GTM Builders — 2026-09-03 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_Vjy6qYY7UX0

### [Building Agentic OS for Marketing](https://denver-boulder.aitinkerers.org/talks/rsvp_BZZDcloDPXM)

I have been solo for 3 years after selling my Denver marketing agency. I was doing everything low code until early March when I discovered Claude Code and working at the terminal. I know have moved my system to a full dev stack using Neon, Claude Managed Agents, 5 repos (website, clients, agent os, reporting admin app) to run my entire AI native consultancy with 12+ clients.

- Event context: AI Tinkerers Denver - June Meetup — 2026-06-30 — Denver
- Public talk page: https://denver-boulder.aitinkerers.org/talks/rsvp_BZZDcloDPXM

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