When OpenAI launched Presence last week, most coverage focused on the enterprise features: voice agents, chat workflows, built‑in guardrails. But look past the product sheet and you’ll see something bigger — a company pivoting from providing AI models to providing AI agents. That pivot changes the calculus for every developer building on this stack.
The “battle‑tested product” line is the whole story
OpenAI describes Presence as “a battle‑tested product that helps enterprises deploy trusted AI agents.” The keyword there is product, not API. This isn’t ChatGPT Enterprise with extra seats; it’s a fully managed agent service where OpenAI handles deployment, monitoring, updates, and — crucially — responsibility.
For enterprises, that’s a trade‑off: you give up control over the agent architecture, but you gain a vendor who’ll handle SOC 2 compliance, 24/7 support, and the liability when an agent makes a wrong call. It’s the cloud‑hosted version of the “buy vs. build” question, now applied to AI agents.
Why this matters for developers building with Claude and MCP
If you’re building agentic systems today, you’re probably using Claude Opus via API, orchestrating tools with MCP servers, and running custom business logic in Python. Presence represents a different path — one where the orchestration layer moves from your codebase to OpenAI’s platform.
Three immediate implications:
- The “full‑stack agent” vendor lock‑in risk. Once an enterprise builds workflows on Presence’s voice/chat agents, those workflows are tied to OpenAI’s platform. Migrating to Claude or another provider means rewriting the orchestration logic, not just swapping an API endpoint.
- Pressure on Anthropic’s enterprise strategy. Claude Opus 5 is a better coding model, but Anthropic doesn’t yet offer a comparable managed‑agent product. If enterprises start choosing Presence for its end‑to‑end solution, Anthropic may need to accelerate its own platform play.
- MCP’s role as the neutral protocol becomes more critical. An open, stateless protocol like MCP gives enterprises an escape hatch. If they build tool integrations as MCP servers, those tools can work with any agent platform — Presence, Claude, or whatever comes next.
The two‑tier future of AI agents
Presence points toward a future where AI agents split into two tiers:
- Tier 1: Managed platforms like Presence — turnkey, expensive, locked‑in, but with full vendor support and compliance coverage. These will dominate enterprise customer‑service and internal‑workflow use cases.
- Tier 2: Open‑ecosystem toolkits like Claude + MCP — flexible, composable, developer‑friendly, but requiring in‑house engineering and assuming your own liability. These will dominate coding, data analysis, and custom automation work.
The line between them isn’t just technical; it’s economic and legal. Presence isn’t selling tokens — it’s selling risk transfer.
What to do if you're building agents today
If you're developing with Claude and MCP right now, the emergence of platforms like Presence validates your work but also sharpens the strategic choices:
- Double down on MCP server quality. Good MCP servers are portable across platforms. A well‑built GitHub MCP server works with Claude today, could work with Presence tomorrow, and will work with whatever comes after. That portability is insurance.
- Document your orchestration patterns. The value in open‑ecosystem agents isn’t just the tools — it’s the patterns for chaining them together. Document those patterns as reusable recipes, not just one‑off scripts.
- Watch for the “MCP‑compatible” label. If platforms start advertising MCP compatibility as a feature, that’s your signal the open ecosystem is winning. If they don’t, that’s your signal to build escape‑hatch tooling for clients.
The bottom line for builders
OpenAI Presence isn’t a threat to developers building with Claude and MCP — it’s proof that the agent market is maturing. Enterprises now have a clear “buy” option, which means developers need a clear “build” story.
That story is: open protocols beat closed platforms in the long run. MCP’s stateless spec (released this week) makes tool integration portable. Claude’s focus on coding and security makes it the better engine for custom automation. Your job is to connect those pieces into solutions that are better than a platform — more flexible, more integrated, more tailored to the specific problem.
The agent space just got a tier‑1 enterprise product. That raises the bar for everyone else. Time to build.
Everything the lab builds in public stays in public. The source is on GitHub, and the current build is a live AI quoting engine for home service contractors.