Research Library

White Papers

Research-backed insights on AI-moderated interviewing, autonomous enterprise architecture, and the future of product development methodology. All free to download.

3 papers · Peer-reviewed foundations · Free downloads

Autonomous Enterprise April 2026

Steering the Autonomous Enterprise

The Role of Agent-First Research

How agent-first research solves the critical requirement-discovery gap in autonomous AI organisations. Surveys the converging literature on multi-agent science, the $7T economic landscape, and Deutero's execution-MCP architecture across OMC, OrgAgent, and Qualixar OS.

$7T GDP projection analysis (Goldman Sachs)
The External Oracle Problem & the Weak Link Paradox
8 MCP tools & full integration pathways
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Research Science April 2026

AI-Moderated Interviewing

The State of the Science

A synthesis of 40 peer-reviewed papers spanning 2019–2026. AI interviewers now match human quality on the metrics that matter — at 10× lower cost and population-scale throughput. The complete evidence base for the qualitative research paradigm shift.

82% positive experience · 53% prefer AI over human
142% more words vs. open text fields
Information-theoretic case for adaptive probing
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Product Development May 2026

From Lean Startup to Agent-First Research

The Next Paradigm Shift · NYU Doctoral Research

AI broke the build bottleneck. User research is still stuck in 2011. Based on five years of doctoral fieldwork at NYU Steinhardt, this paper traces product development methodology from Taylorism through Lean Startup to the fourth paradigm: agent-first qualitative research.

The broken Build-Measure-Learn loop
< 1 day to ship MVP · 2–4 weeks to run interviews
Epistemological roots of Silicon Valley product culture
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Why Deutero Publishes Research

The autonomous enterprise era is too important to address with hype alone. Every claim in our white papers is grounded in peer-reviewed research and primary-source institutional forecasts.

We publish this research because we believe the teams building the future deserve the intellectual foundations, not just the tools. Understanding why agent-first research matters is as important as knowing how to deploy it.

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40+

Peer-reviewed papers synthesised

3

Independent research programmes reviewed

5 yrs

Doctoral fieldwork basis (NYU Steinhardt)

Free

All papers available at no cost

Topics Covered Across the Series

Autonomous enterprise architecture
MCP-native research workflows
AI-moderated qualitative interviewing
Adaptive probing & information theory
Participant experience & AI rapport
Lean Startup methodology & history
Product management epistemology
The Build-Measure-Learn loop in the AI era
Macroeconomic projections for agentic AI

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