The fundamental challenge of today's AI systems isn't a lack of intelligence, but a lack of reliability. While modern models excel at writing essays, solving problems, and holding fluent conversations, they falter when decisions actually matter. Use cases such as approving a loan, screening a candidate, or authorizing a payment become especially vulnerable under probabilistic interpretations.
An AI's outcome can unpredictably shift the moment inputs change, instructions grow ambiguous, or an adversary attempts to manipulate the result.
Rather than hoping a probabilistic model will "do the right thing," TCP/AP enforces deterministic requirements, verifying that LLM decisions are strictly admissible before any action occurs. The result is a new category of AI architecture, one built to behave like predictable, reproducible software despite its probabilistic core.
The ultimate test of an external reasoning layer isn't a conversational vibe check; it's an adversarial gauntlet. We invite you to try and break our agents: embed hidden prompt injections, feed them conflicting instructions, or swap the underlying models entirely. The protocol isolates adversarial payloads from execution logic, rejects the manipulation, and delivers a stable, reproducible decision. Choose a demo below, craft your best exploit, and see if the logic holds the line.
Screen candidates against hiring requirements. Upload qualified, unqualified and poisoned CV's and see how Socrates rejects manipulation in real time.
Stress test Socrates →Request a travel itinerary and see how the agent satisfies every constraint and refuses or escalates rather than guess. Hand it deliberately ambiguous preferences and conflicting plans and see how the system cannot suggest out-of-policy bookings.
Coming soon →Approve invoices against declared payment requirements. Submit clean bills, duplicates, missing fields, or mismatched amounts and see how the agent refuses anything outside policy instead of letting money move on guesswork.
Coming soon →Evaluate loan applications against fixed lending criteria. Change income, doctor documents, or introduce conflicting claims and see how the decision stays stable instead of drifting with the story.
Coming soon →The Bottom Line: Four different domains, four distinct decisions, governed by the exact same protocol. TCP/AP exists to preserve absolute coherence when reproducibility and auditability matter most.