SignalPilot is #1 on both public data-agent benchmarksSee the results →
SIGNALPILOT

Field Notes

Engineering the production-ready agent.

Deep-dives, benchmark breakdowns, and notes from the team maintaining SignalPilot’s data-agent building blocks.

Plausibly Wrong Is Worse Than No Agent at All
·8 min readTrending

Plausibly Wrong Is Worse Than No Agent at All

In production, an AI data agent that's plausibly wrong is worse than no agent at all: inflated revenue, dropped customers, double-counted metrics that pass review and surface in a board deck weeks later. SignalPilot produces data that's correct, not just plausible, and stays safe on a real warehouse because AutoFyn, the security agent behind disclosed Next.js and MetaMask bugs, audits it without stopping. The benchmarks (#1 on Spider 2.0-DBT, 96.9% on ADE-Bench) just prove it.

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SignalPilot ADE-Bench Report: 96.9%, Highest Score Ever
·8 min readTrending

SignalPilot ADE-Bench Report: 96.9%, Highest Score Ever

SignalPilot resolves 62 of 64 ADE-Bench tasks, the highest score on dbt Labs' analytics engineering benchmark. Three skills and one sentence took us from 71% to 96.9%.

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How We Beat JetBrains to #1 on the World's Hardest Data Benchmark
·5 min readTrending

How We Beat JetBrains to #1 on the World's Hardest Data Benchmark

Today, we're thrilled to announce that SignalPilot has claimed the #1 spot on the Spider 2.0-DBT leaderboard — beating JetBrains' Databao by over 7 points. By solving dbt, the hardest problem in the transformation layer, we proved AI agents can be trusted with enterprise data pipelines when they have the right guardrails.

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How Claude Code + SignalPilot Builds Production-Grade dbt Models
·7 min read

How Claude Code + SignalPilot Builds Production-Grade dbt Models

From empty directory to 16 models, 25 passing tests, and full documentation — in a single conversation. A step-by-step trace of how Claude Code and SignalPilot MCP built a complete dbt project.

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Benefits of Using SignalPilot Governed MCP to Build dbt Models
·5 min read

Benefits of Using SignalPilot Governed MCP to Build dbt Models

Why governed database access through MCP changes the AI-assisted analytics engineering workflow — from AST-level query parsing to automatic LIMIT injection and full audit trails.

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