What is QueryData and how does it work?

QueryData is a tool for AI agents to generate near-100% accurate SQL from natural language, using schema ontology, query blueprints, and value searches to encode business logic.

Why do agentic workflows fail without near-100% accuracy?

Errors compound exponentially—90% accuracy drops to 59% over five steps, catastrophic for business apps needing trust, compliance, and revenue.

Is comprehensive context engineering the future of AI agents?

Absolutely—it's the architectural fix turning unreliable chains into production reality, much like preprocessors fixed early compilers.

🤖 AI Dev Tools

90% Accurate AI Drops to 59% in 5 Steps [Agent Fix]

A single 90% accurate AI step sounds solid. Chain five together in an agentic workflow, and you're down to 59% success—catastrophic for business. QueryData's fix? Radical context engineering.

Dev Digest Apr 14, 2026 3 min read

Graph showing AI accuracy decay from 90% to 59% over 5 agent steps

⚡ Key Takeaways

90% AI accuracy plummets to 59% in 5-step agent workflows due to compounding errors. 𝕏
QueryData achieves near-100% via schema ontology, query blueprints, and value searches. 𝕏
This mirrors 1950s compiler evolution: context over raw power for reliable execution. 𝕏
Essential for customer-facing agents in real estate, finance—explainability included. 𝕏