PAPER-TO-PROTOTYPE EXPERIMENTS

Research Notes & Analysis

Critical technical analyses of foundational AI research papers (from MIT, Stanford, NBER, and Google Research), evaluating their practical implications and conceptual applications.

RESEARCH_CONSTELLATION // PAPER_MAPINTERACTIVE PAPER-TO-PROTOTYPE INDEX

INSTITUTION:

TOPIC:

Google Research // 2025Technical Note

Towards a Science of Scaling Agent Systems

Multi-agent performance depends on task parallelism, sequential dependencies, tool density, and coordination topology rather than simple scale.

TOPIC: AgentsRead Study Note →

MIT // 2025Conceptual Application

Authenticated Delegation and Authorized AI Agents

Establishes frameworks for authenticated, authorized, and auditable delegation through scoped credentials, OAuth 2.0, and OpenID Connect.

TOPIC: SafetyRead Study Note →

NBER / Stanford // 2023Paper Review

Generative AI at Work

NBER Working Paper 31161 field study showing generative AI tools provide the highest relative productivity boost to novice and mid-tier workers by codifying tacit knowledge.

TOPIC: AutomationRead Study Note →

Stanford // 2025Technical Note

The Oversight Game: Learning to Cooperatively Balance an AI Agent’s Safety and Autonomy

Stanford GSB Working Paper 4309 (arXiv:2510.26752) models the play/ask/trust/oversee framework to balance agent autonomy against human oversight risks.

TOPIC: SafetyRead Study Note →

Detailed Experiment Memos

Google Research // 2025Technical Note

Towards a Science of Scaling Agent Systems

Multi-agent performance depends on task parallelism, sequential dependencies, tool density, and coordination topology rather than simple scale.

MY INTERPRETATION: I analyze how decomposing complex workflows into role-constrained specialist agents coordinated by a supervisor state-machine can improve task execution when coordination overhead is properly managed.

MY IMPLEMENTATION / CONCEPTUAL APP: Conceptual application: I designed a multi-agent supervisor topology in LangGraph to separate intent classification from downstream CRM payload construction.

Official Paper Source Read Experiment Note

MIT // 2025Conceptual Application

Authenticated Delegation and Authorized AI Agents

Establishes frameworks for authenticated, authorized, and auditable delegation through scoped credentials, OAuth 2.0, and OpenID Connect.

MY INTERPRETATION: I evaluate how cryptographic token scoping and explicit authorization boundaries can prevent unauthorized tool calls during autonomous agent execution.

MY IMPLEMENTATION / CONCEPTUAL APP: Conceptual application: I specified token proxy middleware that intercepts tool dispatches and enforces explicit permission checks before executing sensitive side-effects.

Official Paper Source Read Experiment Note

NBER / Stanford // 2023Paper Review

Generative AI at Work

NBER Working Paper 31161 field study showing generative AI tools provide the highest relative productivity boost to novice and mid-tier workers by codifying tacit knowledge.

MY INTERPRETATION: In my view, effective AI workflows act as operational force-multipliers rather than total human replacements when paired with human escalation controls.

MY IMPLEMENTATION / CONCEPTUAL APP: Conceptual application: I structured intent classification handlers in customer messaging workflows to route low-confidence edge cases to human supervisors.

Official Paper Source Read Experiment Note

Stanford // 2025Technical Note

The Oversight Game: Learning to Cooperatively Balance an AI Agent’s Safety and Autonomy

Stanford GSB Working Paper 4309 (arXiv:2510.26752) models the play/ask/trust/oversee framework to balance agent autonomy against human oversight risks.

MY INTERPRETATION: I study how active human verification prompts must be structured to prevent oversight fatigue and rubber-stamping in automated operations.

MY IMPLEMENTATION / CONCEPTUAL APP: Conceptual application: I designed confidence-threshold verification queues that trigger active human review only when model uncertainty rises.

Official Paper Source Read Experiment Note