Offline ethical intelligence

Three minds reason. You decide.

A private, local AI council to help you examine evidence, understand human consequences and decide for yourself. Three perspectives. Your judgment.

Release status: Windows desktop: internal testing · Updated Release page: Windows desktop v0.0.0 · installer and checksum Convene the council
No investors · No ads Built by a Marine Corps veteran In development since January 2024 Hardware-aware design, built toward broader access Private local edition Local model inference 3 reasoning cores Tools in one workspace

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Three voices, in turn.

Scroll to convene
I.
Analyst
Measures

Counts what can be counted, and weighs what holds. The Analyst pins claims to evidence and refuses to round up.

It asks What does the data actually say, and how confident can we honestly be?

Role-specific model choices · Model Setup
II.
Humanist
Witnesses

Reads what is felt and what matters. The Humanist keeps the human stakes in frame when the numbers try to flatten them.

It asks Who is affected, and what does this mean for the people living it?

Role-specific model choices · Model Setup
III.
Skeptic
Doubts

Hunts what is silenced and what hides. The Skeptic argues against the strongest emerging consensus, not against you, so easy agreement gets tested.

It asks Where are the other two quietly agreeing without checking each other?

Role-specific model choices · Model Setup

How one answer is forged.

One question, three perspectives, a decision that stays yours. In the standard full council, each mind builds on the drafts before it. Synthesis brings their reasoning together without making agreement a guarantee of truth.

Fusion architecture

A council, not a vote. Follow how a question becomes a draft, where challenge enters, and where human judgment begins.

Standard full council · sequential deliberation

Start here Your question + supporting sources

Sources enter when supplied or retrieved. The kind of question guides the emphasis.

  1. 01 · Examine

    Analyst

    Builds the first draft from the question, reasoning and available evidence.

    Reads the question and context
  2. 02 · Consider

    Humanist

    Adds the human perspective: who is affected, what matters, and what the first draft overlooks.

    Also reads the Analyst's draft
  3. 03 · Challenge

    Skeptic

    Questions assumptions and the strongest agreement between the earlier perspectives.

    Also reads both earlier drafts
Optional extra cross-critique. When enabled, the minds critique each other's drafts before synthesis. This extra round is off by default.
04 · Bring together

One synthesized draft

Combines the perspectives, with emphasis guided by the question. Agreement and confidence signals are aids to inspection, not proof.

05 · Decide

You

Inspect the sources, disagreements and limits. Accept, question or reject the draft. The decision stays with you.

Illustration of the standard full council route, not a live run. Modes, settings and model availability can change the stages.
Method, research and limits

What the route means. Later minds receive earlier drafts as context; that context can be shortened. Synthesis normally reuses the Analyst's model with a synthesis prompt, rather than adding an independent fourth judge. Question-based emphasis is prompt guidance, not a measured competence score. A separate debate mode can use additional rounds.

Research context. Du et al., Improving Factuality and Reasoning in Language Models through Multiagent Debate studies models exchanging and revising answers on selected tasks. It motivates testing deliberation; it does not establish ZOTHEOS's accuracy.

Why confidence needs care. Kadavath et al., Language Models (Mostly) Know What They Know studies model self-evaluation and its limits. ZOTHEOS also uses heuristic quality signals. A stated confidence level is not automatically a calibrated probability. Models can share mistakes, and additional discussion cannot guarantee a correct answer.

Local-first

Inference runs on your hardware through llama.cpp, and conversations, vault and memory are stored on the device running the local edition.

Connection needed for model downloads and optional tools

Evidence vault

Your sources become a local knowledge base, and answers cite them as [Vault:Source], checked in strict mode.

Tiered sourcing · cross-encoder reranking

Anti-consensus Skeptic

The Skeptic argues against the strongest agreement between the other two minds, not against you.

Aimed at consensus, by design

Confidence made visible

Evidence-derived, model-stated and blended signals appear when available. They help you inspect an answer; they are not proof that it is correct.

Specimen, not a live score

Built to be checked.

ZOTHEOS includes signed result receipts, local forecast records, evidence-linked corrections and backend network checks. They make the work inspectable, and their desktop integration is part of the current validation.

01

Signed receipts

Verify result-receipt signatures offline. A signature check establishes whether the receipt matches its signing key; it does not prove the answer is correct.

02

Prediction ledger

Forecasts the system logged, scored against what actually happened. A local track record with a reliability diagram.

03

Belief drift

When the council changes its mind, the full chain stays: v1 to v2 to v3, with the evidence that moved it. No memory-holing.

04

Corrections in the open

Every flagged correction is kept with provenance in an immutable log, and approved or rejected where you can see it.

05

Backend network checks

A backend network ledger and canary check make backend controls inspectable. They do not establish that every desktop-shell or WebView2 connection is blocked.

Specimens, not live data

Trust needs evidence.
ZOTHEOS would rather show you the ledger.

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Specimen

ZOTHEOS also measures its own catch rate. The method is published; the numbers print when they are ready, not before.

One workspace, many tools.

Everything lives in one overlay: a fuzzy command palette, keyboard driven, arranged in three zones. A search that matches nothing offers to run itself as a fact-check, a memory search, or an investigation. No dead ends.

Work create and transform
Smart Board Planner Ideas
Trust verify and measure
Trust Center Sovereignty Prediction Ledger Belief Drift Corrections Review Accountability Cockpit Fact Check What ZOTHEOS Remembers
Library & settings look back and configure
Timeline Search Memory Dashboard Knowledge Map Theme Studio Model Setup Device Health

A selection of the workspace tools.

The Ethics Sentinel is designed to refuse help building systems of control while allowing fact-seeking accountability questions.

Guardrails remain inspectable and subject to testing.

Start with a question that matters.

Open an example prompt. These illustrate what to ask, not recorded answers or measured results.

Think through a decision
Example prompt
I am deciding whether to repair or replace my old computer. Help me compare the costs, the useful life and the environmental tradeoffs. What assumptions should I check before deciding?
Question a document
Example prompt
Help me examine this document's main claim. Which statements have supporting evidence, which are assumptions, and what would change the conclusion?
Learn a difficult concept
Example prompt
Explain how an AI model can sound confident and still be wrong. Start with an everyday analogy, show where the analogy breaks down, and help me check my understanding.

Your hardware. Your intelligence.

The direction is broad access: use the computing power already around us, from workstations and everyday computers to older PCs and kiosks. Fit the model to the machine and the task. Current desktop release testing focuses on Windows x64.

MAX
High-capacity computersWorkstations desktops larger laptops
Larger compatible modelsRoom to explore
FIT
Everyday computersLaptops desktops mini PCs
Balanced model choicesFit the task
CPU
Older hardwareOlder PCs refurbished machines kiosks
CPU-first developmentReuse what exists
MIN
Compact systemsSmall PCs compact and embedded hardware
Small-model directionSmall footprint

These are hardware families we aim to serve, not a verified compatibility list. A supported operating system and processor, enough memory and storage, and a compatible model still matter. Compact-system startup and other platforms remain in development.

Your council.
Your choice of models.

Explore an expanding ecosystem of compatible local models. Browse Hugging Face or import GGUF files you already have. Starter packs are a beginning, not a fixed catalog.

Choose the models behind Analyst, Humanist and Skeptic while keeping the same local workspace. Each model retains its own license.

What can I bring?

Compatible chat models in GGUF format. GGUF is the model-file format used by the local engine. Supported model architecture, available memory and the model's license determine what can run.

Hugging Face, GitHub or elsewhere?

Model Setup searches Hugging Face. A compatible file obtained from GitHub or another legitimate source can be imported locally. The built-in browser is not a general GitHub downloader.

How does local setup work?
  1. Install the app.The Windows package follows release validation.The Windows installer and its checksum are on the release page.
  2. Choose compatible models.Download or import files that fit your machine and their licenses.
  3. Work locally.Inference runs on your device after setup. Optional network tools remain separate choices.
Read the current release status →

Help people remember better, not remember for them.

Project memory awareness keeps the facets you choose in view and offers techniques for organizing what you learn. Project guidance is distinct from conversation history and the local memory controls.

Memory awareness · Investing Illustrative project · chosen facets
Facets
compounding taxes market history
Recap prompt

What keeps recurring across compounding, taxes and market history, and what remains open?

Technique
Feynman Explain it back as if to a 12‑year‑old. Gaps in your explanation are gaps in your understanding.
What ZOTHEOS Remembers
Prefers plain-language explanations
Facets at project creation Name the 3 to 5 angles you're exploring. ZOTHEOS keeps them in mind every time you ask a question inside the project.
Periodic recap Build a recap prompt from recent conversations in this project. Review it, then send it to explore recurring themes and what remains open.
Memory techniques Five built-in techniques: Feynman, spaced repetition, chunking, dual coding, method of loci. Suggested when the content type warrants it.
Project awareness stays scoped Project facets apply inside the project. Conversation history and local memory have separate controls; leaving a project does not erase them.
What ZOTHEOS Remembers Every durable fact it has learned about you, on one screen: visible, searchable, and deletable.

See it think.

An illustration of the council flow: separate roles, then a synthesized answer. This animation is not a live query, performance measurement or signed result.

ZOTHEOSConsole FUSION
Roles: Analyst, Humanist, Skeptic Evidence: illustrated Inference: local design AEGIS: guardrail design Workspace: tools
›How can AI systems be designed to promote universal peace while protecting individual rights?
Analyst: 3 sources, 1 conflicting
Humanist: The cost falls on the people being watched
Skeptic: A peace system can become a control system
Fused answer ILLUSTRATION

Analyst · measures
Humanist · witnesses
Skeptic · doubts
Agreement: inspect, do not assume
Evidence: inspect the sources
Confidence: when available
Receipts: verified separately
Timing: illustrative animation
Explore local setup →

Your own workspace. Your chosen models. The Windows desktop is in release validation.The Windows desktop is available to download.

The internet became a casino.
This is the library.

ZOTHEOS is built to strengthen human judgment, to guide rather than govern. The Analyst examines evidence, the Humanist keeps human consequences in view, and the Skeptic checks assumptions. You remain free to question the answer, disagree and decide.

Keep knowledge accessible. Keep privacy intact. Keep human agency at the center.

Universal peace is a moral horizon: knowledge, empathy and cultural memory in service of human dignity. It is not a promise that software can impose peace or make people obey.

Evolved Intelligence is a research direction toward accountable learning, useful self-correction and understanding. It is not a claim of consciousness, infallibility or absolute truth.

Responsible computation means making useful use of existing models and hardware, choosing appropriate workloads and measuring resource costs. Local AI still has an energy and hardware footprint; environmental benefit must be measured, not assumed.

Private by defaultNo accounts required. No data harvested as the price of help.
Built for real decisionsLearning, planning, and problem-solving without noise or manipulation.
Independent by designNo VC funding, no corporate agenda. Built by one veteran with a mission.
Ethical guardrailsGuardrails, evidence and provenance make conduct inspectable. They remain subject to testing and correction.

A different posture entirely.

ZOTHEOS is built around local control and inspectable evidence. Hosted services differ in their policies and capabilities; compare the specific service you use.

 
ZOTHEOS
Cloud services vary
Inference location
On your hardware
Remote host hardware
Account required
No
Check access requirements
Data used for training
Local edition stores data locally
Check the provider policy
Reasoning method
Three independent cores, synthesized
Provider-specific architecture
Citations
Strict-mode grounding checks
Check citation behavior
Confidence disclosed
Signals when available
Check available signals
Works offline
Local inference after setup
Remote features need network
Funding model
Independent, no investors
Provider-specific funding
Proof of offline
Backend ledger and canary
Check network controls
Track record
Local forecast records
Check provider records
When it changes its mind
Logged, with the evidence
Check change records
When it is wrong
Corrections with provenance
Check correction process
Receipts
Signed, offline-verifiable
Check provider records

Questions worth asking.

Does ZOTHEOS actually work offline?
Local inference runs via llama.cpp once the required models are available. Model downloads and optional network features need a connection. The local edition stores conversations and vault files on your device.
Why three models instead of one larger one?
Analyst, Humanist, and Skeptic examine questions from different angles, then synthesize an answer that can expose evidence and disagreement. Multiple models can share the same error, so agreement is not proof.
What hardware do I need?
ZOTHEOS is being developed for broad hardware access, including desktops, laptops, mini PCs, older computers and kiosks. Current desktop release testing focuses on Windows x64. Processor support, memory, storage and model compatibility still matter; compact-system startup and other platforms remain in development.
Is any of my data collected?
The local edition stores conversations, vault and memory on the device running it. This website sends waitlist emails to Formspree for milestone updates, and loads hosted fonts and media. Local inference and website processing are separate.
How is ZOTHEOS funded?
Development is independent and self-funded, with optional support. The local edition is free for individual use. Support does not unlock features, access, priority or influence. Institutional deployment and support may be paid; they are not required for individual local use.
What is the “evidence vault”?
A local, tiered knowledge base the council can cite. Retrieval can rerank sources, and strict mode checks grounding and citation tags. A citation still needs to be inspected against its source.
How do I know it is really offline?
The backend includes a network ledger and a canary check for its network controls. Those checks cover backend activity, not every shell or WebView2 connection. Receipt signatures can be checked offline, separately from network behavior.
What happens when ZOTHEOS is wrong?
Flagged corrections are recorded with provenance for review. Belief-drift records retain evidence linked to a change. These records make changes inspectable; they do not prove that an answer is correct.
Can kids use ZOTHEOS?
Kids Mode is not enabled in the current product. Age-band support remains planned.
What is the Smart Board?
An AI whiteboard with council prompts, document tools, charts, voice and conversation saving. Available functions depend on the configured models and tools.
Can I choose my own models?
Yes. Model Setup browses Hugging Face and imports local GGUF files, so starter packs are a beginning rather than a fixed catalog. Compatible chat models can be assigned to the council roles. Each model retains its own license, and runtime support plus available memory determine what can run. GitHub files can be imported locally when compatible; an integrated GitHub downloader is not established.

I built ZOTHEOS because I was tired of tools that treat attention as the product and truth as optional. The internet learned to keep us scrolling; I wanted something that helps people think instead.

So I gave it three minds that disagree on purpose, a memory that teaches rather than hoards, and a hard rule: it runs on your machine, and your data stays there. No investors to please, no ad model to feed. Just the work, done right.

David Garcia Founder · USMC Veteran · ZOTHEOS LLC

The local Windows download follows setup, installation and clean-machine validation.

The Windows download is on the release page. Join the list for release updates.

Join for ZOTHEOS development and release updates. This form sends your email to Formspree, our form processor. Early access is not a promise of an immediate invitation or a finished download.

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