Question 1

What is the LLM Council?

Accepted Answer

The LLM Council is Heavy3's multi-agent AI architecture built on three pillars: (1) different SOTA models with unique training and biases, (2) different adversarial roles that attack problems from different angles, and (3) different sources of truth—GPT searches Bing, Gemini searches Google, Grok searches X. True verification requires diversity at every layer.

Question 2

How can Heavy3 help me verify my decisions?

Accepted Answer

Heavy3's LLM Council reviews your critical decisions like a board of expert advisors. Upload your strategy document, contract, or code and get feedback on blind spots, weak arguments, and risks—before you commit. Built by a scientist who needed accuracy for high-stakes decisions.

Question 3

Why use multiple AI models instead of just ChatGPT?

Accepted Answer

Research shows multi-model ensembles beat single models by 13.2% on benchmarks. Each AI has different training and blind spots. When GPT-5, Gemini 3.1, and Grok 4 all agree your argument is weak—fix it. When they disagree, you see the risk before you commit.

Question 4

Who built Heavy3?

Accepted Answer

Heavy3 was built by a scientist and engineer who regularly makes high-stakes decisions requiring depth and accuracy. After years of manually cross-checking AI responses before committing to important decisions, he built Heavy3 to automate the workflow.

Question 5

What can Heavy3 verify?

Accepted Answer

Heavy3 verifies: business strategy and roadmaps, contracts and legal documents, pitch decks and investor materials, code architecture decisions, OKRs and planning documents—any high-stakes decision where accuracy matters and blind spots are costly.

Question 6

What is Deep Audit?

Accepted Answer

Deep Audit is Heavy3's adversarial agentic research engine—the only one that makes AI agents actively argue with each other. Each agent gets a cognitive role: the Analyst digs deep, the Skeptic challenges assumptions, and the Lateral Thinker explores angles you didn't consider. They run 6 chained rounds of web research with parallel tool use, then a Synthesizer cross-examines all findings and delivers a verdict with academic citations. It catches what a single AI would confidently get wrong.

Question 7

Is my data secure and private?

Accepted Answer

Yes—your data is encrypted, isolated, and never used for AI training. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). We access AI models through OpenRouter with all privacy protections enabled: training disabled, prompt logging disabled. We never sell your data or use it for advertising. Staff access is limited to debugging and support only. SOC 2 compliant infrastructure with no tracking cookies. Built by a scientist who understands you're sharing sensitive information.