Managing OAuth, writing boilerplate, and wrestling with API quirks can turn a simple email agent into a days‑long project. With Invoke, you’re just a few lines of JSON and code away from a fully authenticated Gmail integration, no hidden hacks required. Watch the full demo: YouTube Demo Why
At Invoke Labs, we believe the future of AI lies in agents that can not only act autonomously but also recognize when they’re out of their depth. In complex, real-world settings—even minor mistakes can cascade into serious failures. That’s why uncertainty quantification (UQ) is essential: it lets
LLMs aren’t just answering questions anymore — they’re acting. But to act intelligently, they need tools. Our latest article on Towards Data Science explores the future of agent-tool interaction, and the two leading approaches shaping it: * MCP (Model Context Protocol): a structured protocol for agent-to-agent calls * Invoke: an open,
Why Runtime Discovery Is the Future of the Agentic Web Invoke Labs | June 2025 Abstract As the agentic web emerges, one thing becomes clear: the interface between models and the world must be dynamic, lightweight, and open. While current approaches like MCP (Anthropic, 2023) attempt to standardize tool use through
Invoke Labs | June 2025 Turn your LLM into an agent that can take action — not just talk. Modern language models like GPT-4.1 are brilliant at reasoning, writing, and planning. But if they can’t take action — if they’re stuck inside a sandbox — they’re just glorified typewriters. Invoke