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    3. Greg Reindel

    Greg Reindel

    Liquid Intent turns AI from a concept into concrete systems by building reliable, type-safe infrastructure and applications.

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    At a Glance

    1Tool Listed
    2Products
    5Capabilities
    Discussions
    Dallas-Fort Worth, TexasHeadquarters
    2024Est.
    1Employee
    Focus Areas
    AI Development Libraries
    Agent Frameworks
    LLM Orchestration
    Connect
    Latest News
    How We Built an AI Agent Team to Maintain Our Open Source TypeScript LibraryJan 1, 2026
    Release v2.3.5: Support for latest xAI Grok and DeepSeek modelsMar 1, 2026
    Markets
    • Software Developers
    • AI Startups
    • Enterprise Engineering Teams

    AI Tools by Greg Reindel

    (1)
    View llm-exe
    llm-exe tool icon

    llm-exe

    TypeScript SDK for LLM Agents

    AI Dev LibrariesAgent FrameworksLLM Orchestration

    Discussions

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    Be the first to start a discussion about Greg Reindel

    Latest News

    01/01/2026

    How We Built an AI Agent Team to Maintain Our Open Source TypeScript Library

    levelup.gitconnected.com
    03/01/2026

    Release v2.3.5: Support for latest xAI Grok and DeepSeek models

    github.com
    03/01/2026

    Building Composable AI: Why the Executor Pattern Beats Vibe Coding

    llm-exe.com

    Products & Services

    2
    llm-exe
    April 2025

    A lightweight, provider-agnostic TypeScript toolkit for building composable, type-safe LLM functions and agents.

    Applied AI Consulting

    Custom AI system design, strategy, and engineering services provided through Liquid Intent LLC.

    Market Position

    Positions as a lightweight, type-safe alternative to heavier LLM frameworks like LangChain, focusing on the 'Executor Pattern' for reliability.

    Leadership

    Founders

    GR

    Greg Reindel

    Senior Software Engineer and AI systems architect with over 20 years of combined technical experience. Founder of Liquid Intent, an AI consulting firm based in Dallas, TX. Previously held senior engineering roles in various software organizations.

    Executive Team

    GR

    Greg Reindel

    Founder & Principal

    Experienced software engineer focused on applied AI infrastructure and developer tools.

    Founding Story

    LLM-EXE was created by Greg Reindel to address the fragility of early LLM integration patterns (vibe coding). The goal was to build a modular, type-safe toolkit that allows developers to treat LLMs as reliable, composable functions rather than unpredictable black boxes.

    Business Model

    Revenue Model

    A combination of professional services (consulting, custom AI system development) via Liquid Intent and open-source software (llm-exe) used as developer infrastructure and community engagement.

    Pricing Tiers

    llm-exe (Core Library)
    Free

    Open-source library available via NPM and GitHub under the MIT License.

    Consulting Services
    Custom

    Engagement-based pricing for AI strategy, architecture, and custom development.

    Private

    Target Markets

    Industries & Segments
    • Software Developers
    • AI Startups
    • Enterprise Engineering Teams
    Use Cases
    • Production AI Agents
    • Type-safe LLM functions
    • Enterprise process automation
    • Developer infrastructure for AI-native apps
    Notable Customers
    • ~10,000 consumers served via internal AI-native products

    Quick Facts

    Headquarters
    Dallas-Fort Worth, Texas, USA
    Founded
    2024
    Entity Type
    LLC
    Employees
    1
    Total Funding
    None reported (Bootstrapped/Services-funded)
    Office Locations
    Dallas

    History & Milestones

    January 2026

    Published research/article on using autonomous AI agent teams to maintain and test the llm-exe library.

    March 2026

    Released llm-exe version 2.3.5, reaching a stable and highly modular state for production use.

    April 2025

    Initial support commit and early public release of the llm-exe TypeScript library.

    August 2024

    Initial repository setup and license for the llm-exe project.

    Key Capabilities

    5
    Type-safe LLM calls and schema validation
    Provider-agnostic support (OpenAI, Anthropic, Google, xAI, etc.)
    Composable executor pattern for complex workflows
    Built-in production utilities: retries, timeouts, and hooks
    Modular parsers for JSON, lists, and markdown

    Integrations & Partnerships

    Platform Integrations

    • NPM
    • TypeScript/JavaScript environments
    • AWS Bedrock
    • Ollama

    Key Partnerships

    Provider integrations with OpenAI, Anthropic, Google, and xAI

    Connect

    Website
    llm-exe.com
    GitHub
    gregreindel

    AI Topics

    3

    Greg Reindel focuses on these topics:

    AI Development Libraries(1)
    Agent Frameworks(1)
    LLM Orchestration(1)
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