Production AI Agent Execution Layer as Teams Hit the Zapier/Make/n8n Ceiling
Teams prototyping AI agents in Zapier and Make are hitting a hard ceiling when moving to production: per-user OAuth is unsupported, retry storms cause duplicate payments, debugging requires manually stitching logs across systems, and task-based pricing spirals when agents make 50+ tool calls per operation. Developers need purpose-built execution infrastructure for non-deterministic AI workflows, not patched-together automation platforms.
Don't build another visual automation builder with an 'AI' label. The real gap is the unglamorous infrastructure: per-user OAuth token management, idempotent action execution, dead letter queues for failed tool calls, and end-to-end tracing from prompt to API response. Teams will pay for boring reliability, not another canvas UI.
landscape (4 existing solutions)
Composio is the closest to solving this but it's developer-first and early-stage. The gap is a managed execution layer that gives AI agent builders Temporal-grade reliability with Zapier-grade setup simplicity, plus AI-specific features like prompt-to-action tracing and LLM-aware retry semantics.