Distributed Thinking Systems

Distributed Thinking Systems

Local AI for Private, Sensitive Work

Run AI and automation locally without leaking secrets into files, logs, or cloud services.

Distributed Thinking Systems helps professionals and small teams build secure, local-first workflows for sensitive data, AI, automation, and developer tooling.

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Services and Capabilities

Best suited for legal and counseling professionals, developers running local AI, and teams handling sensitive or regulated data.

  • Local AI setup: private model runtimes, local-first agents, and machine-specific integration.

  • Secrets management: safer handling for .env files, shell history, command arguments, logs, and startup configuration.

  • Unix/macOS/Linux systems engineering: shell tooling, launch agents, automation, diagnostics, and reliable local infrastructure.

  • Sensitive workflow automation: legal, counseling, document review, communication analysis, and case organization.

  • Developer tooling: CLI tools, project scaffolding, local-first infrastructure, and practical automation.

Secrets Kit: Local Secrets Without .env Files

Secrets Kit helps keep API keys, passwords, and tokens out of .env files, shell history, argv, and launchd plists by using local secure storage and exec-time injection.

It is the secure runtime and secrets layer for local AI workflows, developer tools, scripts, web UIs, and agent runtimes that still need environment variables.

Overview

At Distributed Thinking Systems, we build practical AI, automation, and systems tooling for work where privacy and local control matter.

One major application area is legal, counseling, and family-law analysis involving sensitive communications and documents. Within that vertical, parental alienation case analysis is a specialized focus.

Parental alienation can fracture families and cause long-term psychological and emotional damage. It is often difficult to identify in family-court materials because the patterns are subtle and spread across messages, documents, and testimony.

Using AI and data analytics, we aim to identify early signs of alienation through patterns in communication and family dynamics. These tools offer new insights into custody decisions, ensuring they are made in the child’s best interest.

That work remains important, and it fits the broader mission: local, privacy-focused tools for sensitive workflows.

What We Do

We specialize in:

  • Artificial Intelligence and Machine Learning: Local model workflows, document analysis, communication review, and pattern detection.
  • Data Analytics: Tools for legal documents, professional records, communications, logs, and other sensitive datasets.
  • Secure Automation: Agent and script workflows that are designed around secrets hygiene and local data control.
  • Distributed Computing Systems: Unix, Linux, and macOS systems work for AI, automation, and developer infrastructure.
  • Digital Forensics and Data Recovery: Recovery and analysis support, particularly where legal, family, or professional records are involved.

Current Projects

The projects fit together as a local-first stack: Secrets Kit handles runtime secrets, LLM Ops Kit supports orchestration and operations, and Case Analytics applies AI to sensitive legal and family-law analysis.

Case Analytics image

Case Analytics

AI-powered analysis tool for legal case documents, focusing on parental alienation detection and pattern recognition in high-conflict divorce cases.

Project Blog
Parental Alienation Awareness image

Parental Alienation Awareness

Parental Alienation Awareness: A data-driven look at the scope, impact, and damage to children, families, and society.

Project Blog

About Us

We focus on local-first AI, secure automation, developer infrastructure, and Unix/macOS/Linux systems engineering for sensitive work.

If you are interested in contributing data from past cases, partnering in research, or supporting us in any capacity, please collaborate with us.

At the intersection of AI and family law, we are committed to protecting parents and children from the long-lasting damage caused by alienation. Across the rest of the work, the same rule applies: handle sensitive data deliberately, locally when possible, and with fewer places for secrets to leak.

Latest Updates

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Join Our Mission

Join Distributed Thinking Systems in local-first AI, secure automation, sensitive workflow analysis, and developer tooling work.

  • Community Collaboration: Contribute data, provide expertise, test tools, or participate in applied AI and open-source projects.
  • Professional Services: Get help with local AI setup, secure automation, developer infrastructure, or Unix/Linux/macOS systems engineering.

Supporting the work helps keep practical tools, research, and resources available to people handling sensitive data and difficult workflows.

Get In Touch

If you want to talk privately about local AI, secure automation, sensitive workflow analysis, systems engineering, collaboration, or a specific problem, use the contact page.

If you would rather keep it public, join the wider conversation on GitHub Discussions.

The site is small by design, so the shortest path is usually best: private inquiries through the form, public discussion through GitHub.