Why locking into one AI provider is the wrong bet, and what a multi-provider workflow actually looks like

I want to make a case for something I've been thinking about a lot: the days of picking one AI provider and going all-in are over.

Here's what I mean. Right now, in mid-2026:

• Gemini is great at broad exploration and web-grounded tasks
• Claude is phenomenal at complex reasoning and long context
• GPT-4o is fast and versatile for quick iterations
• Kimi K2 offers 256K context at a fraction of the price of Claude
• GLM-4.7 Flash from Z.AI is literally free and handles basic coding tasks fine
• Copilot has tight VS Code integration that nothing else matches

No single provider is best at everything. And model quality shifts every few months. The smart move is being provider-agnostic.

That's why I built Ptah.

It's a VS Code extension and standalone desktop app that connects to all of the above from one interface. The technical architecture is designed around this principle -- a provider registry where adding support for a new Anthropic-compatible API is adding one object to an array.

But here's the part that gets interesting from an AI research perspective: cross-provider delegation.

From inside Ptah, your primary agent can spawn agents from other providers as background workers. This isn't theoretical -- it uses 6 MCP lifecycle tools:

• ptah_agent_spawn -- kick off a background agent (Gemini CLI, Codex SDK, Copilot SDK)
• ptah_agent_status -- check if it's done
• ptah_agent_read -- get the output
• ptah_agent_steer -- send follow-up instructions
• ptah_agent_stop -- kill it if it's going off track
• ptah_agent_list -- see all running agents

So you can have Claude orchestrating while Gemini reviews and Codex generates tests. Each agent plays to its strengths. The user sees results from all of them in one interface.

The meta-point: the future of AI coding isn't "which provider wins." It's how you compose them. Different models for different tasks. Parallel execution. Shared workspace context.

The code is open source: https://github.com/Hive-Academy/ptah-extension Docs: https://ptah.live/docs Free community plan, Pro at $5/month: https://ptah.live/pricing

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