Five architectural pillars turn black-box AI into Glass Box AI you can audit and trust. Every answer is transparent. Every calculation is verified. Every conversation is losslessly archived. This is not a workflow builder — it is a Cognitive Refinery.
Go beyond ordinary AI chat. Talk directly to any model on the platform — from OpenAI, Anthropic, Google, and xAI — in a persistent, exportable conversation. Every chat session includes live internet search, giving the agent real-time web access to verify facts and find current information. Enable Logic Trace and the agent operates under the Zero-Delta Standard, the same epistemological framework that governs every task force agent. Your input is treated as a claim to be verified, not an axiom to be accepted. Every response includes a mandatory structured Analytical Breakdown anchored to objective reality, not social consensus or unverified assumptions.
Powered by the Zero-Delta Standard
Deploy smaller, faster AI models for rapid analysis and quick reports. Strike Task Forces are optimized for speed, delivering multi-round debates in minutes. Usage is metered: 1 Unit = 1,000 tokens, billed by actual consumption. Run in Adversarial mode for rigorous stress-testing or Symposium mode for cooperative execution. Ideal for brainstorming, quick research queries, and iterative problem exploration.
Quick reconnaissance
1 Unit = 1,000 tokens
Deep audit & cooperative execution
1 Unit = 1,000 tokens
Unleash the most powerful AI models available for deep, multi-round analysis. Titan Task Forces conduct exhaustive sessions with the largest LLMs from OpenAI, Anthropic, Google, and xAI. Use Adversarial mode for rigorous red-team audits, or switch to Symposium mode for cooperative, synergistic execution — producing comprehensive analysis suitable for critical decisions in science, business strategy, marketing, and more.
Not every problem needs a fight. Symposium Mode transforms any Strike or Titan Task Force into a cooperative architecture where AI agents work synergistically instead of adversarially. Use it after a Pivot to execute on a refined direction, or launch it directly when you need collaborative synthesis rather than stress-testing.
Three specialized AI agents assist you before, during, and after every task force run — turning raw ideas into polished briefs, interrogating finished reports, and pivoting your strategy from adversarial red-teaming into cooperative execution.
Use Chat with Logic Trace to prepare your mission brief through transparent, auditable conversation — the same Glass Box AI engine that powers every response on the platform. It helps you articulate the problem, set constraints, and define what success looks like before your task force deploys. Far superior to a dedicated lightweight agent.
The Examination Agent. After a task force completes its run, open the Report Examiner to ask follow-up questions about the debate, drill into specific arguments, and understand nuances that the summary might not cover. It has full context of every round and every agent's output.
The Strategic Pivot. When an adversarial report reveals a conditional go or a new direction, use the Pivot Agent to write a Pivot Statement. It packages the original Mission Brief and the completed report into a new run — ready for you to switch into Symposium mode and have the task force cooperatively execute your refined vision.
Adversarial Run (expose flaws) → Report Examiner (interrogate results) → Pivot Agent (choose a new direction) → Symposium Run (cooperatively execute the solution)
Integrate adversarial AI task forces directly into your applications, workflows, and pipelines. Our REST API lets you programmatically trigger Strike or Titan task force sessions and retrieve full debate reports with a simple API key.
View API Documentationarrow_forwardSee AI models argue, challenge, and refine their positions in real time. The Arena gives you full visibility into every round of the adversarial debate, so you understand exactly how your task force reached its consensus.
Watch each agent's arguments appear as they are generated.
Track how positions evolve across multiple debate rounds.
See OpenAI, Anthropic, Google, and xAI models side by side.
Every task force session produces a downloadable PDF containing the final consensus verdict, executive summary, and the complete debate history from every round. Full transparency into how your AI task force reached its conclusions.
Every agent output, every round, every citation — in one PDF.
Stop trusting black-box AI that guesses math and forgets what you said. Free units let you prove the Glass Box architecture yourself.