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Work / AI Experiments · Research

Gryps Research Engine

A weekly AI-driven research pipeline. Publishes to blog.gryps.finance.

Cadence
Weekly · published Mondays
Surface
blog.gryps.finance
Stack
Cowork · Sanity · Next.js
Pipeline
Intel → draft → fact-check → CMS
Coverage
Perp DEX · institutional flow · market structure
Cross-listed
AI Experiments · Research

Summary

The Gryps Research Engine is the weekly research and publication pipeline behind blog.gryps.finance. It pulls institutional perp DEX market intelligence. Volume, execution quality, institutional movement, SEI ecosystem developments, the research landscape. Then drafts long-form analytical pieces, three-pass fact-checks every substantive claim, and stages the result in Sanity for editorial review.

The pipeline runs four orchestrated skills: an Intelligence Engine that runs Monday and gathers the week's structured intel; a Content Pipeline that takes a thesis or intel file and produces a full article through brief, draft, self-edit, and fact-check; a three-pass Fact-Checker that scores every claim and auto-stages to CMS when accuracy clears 85%; a Sanity Push that converts markdown to Portable Text and creates the unpublished draft. A weekly Distributor handles the social calendar on top.

Why it matters

Institutional perp DEX market structure is undercovered relative to its strategic importance, and the venues that do cover it (a16z research, Epsilon Theory, Kaiko Research) operate on monthly or quarterly cadences. The Engine's bet is that a weekly cadence. Analytical depth held constant, fact-check rigor held constant, AI involvement named. Can build the institutional research surface that competes with retainer-grade research firms. The proof is the publication record.

What was noteworthy

The architecture is the noteworthy part. Most "AI content engines" are a single skill that drafts a blog post. The Gryps Engine is a four-skill orchestration where each skill has a job that respects the editorial register: the Intelligence Engine doesn't draft; the Content Pipeline doesn't fact-check; the Fact-Checker doesn't publish; the Sanity Push doesn't auto-publish. The handoffs preserve the discipline the institutional audience expects.

Honestly, the most surprising lesson is that the rate-limiting step isn't AI quality. It's editorial taste. The Engine is functionally ready to publish more than it does; the constraint is whether each piece earns its place in the institutional research register. That constraint is on me, not the agents.

Outlinks

Cross-listed in AI Experiments and Research