Field notes

2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.

Notes on enterprise

10 notes

  1. From Benchmarks to Production: A Text-to-SQL System for Complex Financial Data

    Source note · Oct 2, 2026 · agents, applications, enterprise

    The preprint describes Financial LINking Text-to-SQL (FLINT), a domain-specialized system for financial databases whose concepts are stored as opaque integer keys. It combines a lookup agent for question-specific…

  2. Screen Before You Serve: Simulation for Production Customer Experience AI Agents at 140M Scale

    Source note · Sep 24, 2026 · evaluation, agents, enterprise

    The paper presents a hypothesis-driven simulation workflow for screening customer-experience agents before deployment. Synthetic customers and simulated tool outputs exercise multi-step workflows without invoking…

  3. How Do Agent Harnesses Create Value? Planning Information and Release Control in Stateful LLM Agents

    Source note · Sep 17, 2026 · agents, planning, verification

    Across 265 matched cells in Retail experiments and an Airline pilot in τ²-bench, the paper compares task-specific plans with shuffled text, and evaluates a read-only terminal verifier. It reports a 7.17-point…

  4. RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents

    Source note · Sep 17, 2026 · agents, enterprise, rag

    RAFT models each closed support case as a directed chain of timeline entries and retrieves at the entry level, returning the parent-case trajectory anchored at a matching state. It evaluates against a synthetic…

  5. PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?

    Source note · Sep 16, 2026 · evaluation, safety, enterprise

    PACT is a benchmark for rule-following under pressure across twelve regulated enterprise domains and 48 multi-turn scenarios. The authors report six compliance metrics and evaluation across 22 models; the abstract says…

  6. How to connect AI usage to business value

    Source note · Sep 16, 2026 · agents, enterprise, measurement

    OpenAI describes ChatGPT Work and Codex analytics that combine usage, spend, task insights, and outcome metrics. The post describes task classification, model/reasoning/speed breakdowns, plugin and skills views, Codex…

  7. How workers are unlocking new ways of working

    Source note · Sep 16, 2026 · enterprise

    OpenAI reports an analysis of more than 1.5 million work-related ChatGPT messages from April through July 2026. In a sample of roughly 6,200 workers observed consistently, the share of occupation-specific AI activity…

  8. VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use Policies

    Source note · Aug 12, 2026 · ai, benchmark, reasoning

    The researchers introduce VAKRA, a benchmark for evaluating the ability of agents to reason across structured APIs and document collections in enterprise settings. The benchmark includes over 8,000 executable APIs…

  9. Building an Open Ecosystem for AI Governance with Unity AI Gateway

    Source note · Jun 17, 2026 · industry, governance, marketing

    Databricks introduced Unity AI Gateway, a governance infrastructure layer for AI deployment designed to support responsible AI deployment across organizations. It is framed as an "open ecosystem" for AI governance.

  10. Introducing Genie One, Genie Agents, and Genie Ontology

    Source note · Jun 16, 2026 · agents, industry, marketing

    Databricks announced Genie One (enterprise-context-aware AI assistant), Genie Agents (agentic extensions), and Genie Ontology, framing the system as a "data-intelligent colleague" for enterprise data workflows.

An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.