Jaikey

Jaikey takes a broken n8n, Make, Zapier or LangGraph workflow, diagnoses hidden failures and returns a repaired version with a plain-language change log. Every fix needs user approval before it touches live systems.

Jaikey is a workflow repair tool aimed at people who build automations rather than write software for a living. Instead of generating new workflows from a prompt, it takes one that already exists and is misbehaving, inspects it, and returns a corrected version. It accepts exports from n8n, Make, Zapier and LangGraph, and the homepage also lists CrewAI flows and custom pipelines as supported sources. The process follows a repair-shop metaphor in four stages. A user pastes a workflow export, such as n8n JSON or a Make blueprint. Jaikey then performs an evidence-based inspection of the execution path rather than a blind rewrite, applies fixes, and finishes with a short change log that explains what was wrong and what changed. The homepage example shows an n8n inbound-lead automation moving from a health score of 41 to 96, growing from five nodes to eleven as validation, retries, branching, error paths and idempotent contact creation are added. That example is illustrative, not a promise of results on any given workflow. Trust is handled through approval. Diagnosis comes first, nothing is applied automatically to live systems, and the user pastes the repaired workflow back in after reviewing it. The site is explicit that Jaikey is a second opinion and not a replacement for testing, so validation before shipping is still expected. Among alternatives, most AI automation products focus on creating flows from natural language. Jaikey occupies the narrower niche of debugging and hardening existing ones across several platforms at once, which suits freelancers, operations staff and small teams who inherit fragile automations. The free tier covers one repair, and a paid Pro plan allows five repairs per month, so it fits occasional troubleshooting better than continuous monitoring of a large automation estate. The founder describes a non-engineering background, and the product copy reflects that by favoring plain-language reports over technical jargon.