Research

Making agentic AI reliable enough to deploy without watching over it.

This isn't academic research from a lab — it's the applied engineering behind Gydmation AI and our automation services, written up honestly. We're a small team; what follows is what we've actually built and learned, not a literature review.

Featured

01 · Reliability

Grounding Generation Against Real Schemas

Why AI-generated workflows need a real node schema catalog, not a model's memory of what a node looks like.

02 · Reliability

Why We Validate Before We Trust an AI Wrote

Deterministic, rule-based checks catch more reliably than asking a second AI call to check the first one.

03 · Agentic AI

Self-Healing Workflows: Run It, Diagnose It, Fix It

How Gydmation AI runs a real execution, reads back what happened, and applies a targeted fix.

04 · Agentic AI

The Regression Problem in AI Repair

Why an AI's second fix attempt can be worse than its first, and the safeguard that catches it.

05 · Architecture

Borrowing the User's Own Model Instead of Hosting One

How our MCP server uses sampling to run generation on the model the user already has.

All publications

Every write-up, in one list.

DateCategoryTitle

Sep 19, 2026IndustryWhy Small Businesses Are Adopting AI Faster Than the Tools Built for Them Sep 18, 2026Applied AIWhat Happens When a Request Is Ambiguous Sep 11, 2026SafetyWhy Agentic AI Needs a Human Checkpoint, Not Just a Better Model Sep 5, 2026Applied AIGrounding Guidance in Real Documentation, Not Model Memory Aug 27, 2026IndustryThe Shift From Point Automations to Agentic Workflows Aug 22, 2026ReliabilitySimulating a Workflow Before It Ever Touches Production Aug 8, 2026SecurityEncrypting Stored Automation Credentials by Default Jul 30, 2026Societal ImpactWhat Automation Actually Displaces, and What It Doesn't Jul 28, 2026Agentic AISelf-Healing Workflows: Run It, Diagnose It, Fix It Jul 14, 2026EvaluationBenchmarking Template-Retrieval Accuracy in the Workflow Knowledge Base Jul 3, 2026EconomicsThe Real Economics of Workflow Automation Jun 30, 2026Agentic AIThe Regression Problem in AI Repair Jun 12, 2026ReliabilityWhy We Validate Before We Trust What an AI Wrote May 26, 2026ReliabilityGrounding Generation Against Real Schemas May 9, 2026ArchitectureBorrowing the User's Own Model Instead of Hosting One Feb 24, 2026Applied AIWhat a Year of Real User Prompts Taught Us About Ambiguity Nov 18, 2025Reliabilityn8n's Node Ecosystem Is Bigger Than Any Model's Training Data Aug 22, 2025IndustryOne Year In: What We Learned Pivoting From Four Verticals to One May 20, 2025SafetyThe Trust Problem With AI-Generated Automations Feb 11, 2025Applied AIWhy Natural-Language Workflow Generation Needs More Than a Good Prompt Nov 14, 2024ArchitectureWhy We Chose n8n as Our Automation Foundation Aug 19, 2024IndustryThe Gap Between No-Code Tools and What Small Businesses Actually Need

This page describes engineering choices already shipped in Gydmation AI, not speculative future work. We'll add to it as we build more.

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