TaxEase
Explore a guided U.S. federal tax preparation interface in a separate app.
Sign-in required. Use test data for review. This prototype is not a validated tax advice or filing service.
Open TaxEase (opens in a new tab)iKhan Gold — First Explainer
An introduction to the iKhan Gold vision.
Exploring consent, accountability, and transparent system design—with human judgment retained for consequential decisions.
Choose a tool for learning, retail operations, or exploring a tax workflow. Each app opens in its own workspace, where you can sign in and try the features available today.
Explore a guided U.S. federal tax preparation interface in a separate app.
Sign-in required. Use test data for review. This prototype is not a validated tax advice or filing service.
Open TaxEase (opens in a new tab)Explore 12 Grade 7 pre-algebra patterns through guided AI conversations, reflection, a personal journal, and a reference library.
Six-week pilot. Automatic mastery assessment and unlocking are still in development.
Open Pattern Pilot (opens sign-in in a new tab)A convenience-store workspace for POS CSV uploads, daily sales summaries, refunds, and optional fuel reconciliation. Review a report and share its summary manually on WhatsApp.
Sign-in required. Pilot for testing; financial estimates and automated findings remain under review.
Open AI Profit Guardian (opens in a new tab)Design records should be attributable, reviewable, and protected against silent alteration. Implementations must demonstrate these controls before making assurance claims.
Decisions, consent events, and material system changes should be understandable and reviewable by the people they affect.
Trust is earned through consistent behavior, documented controls, human oversight, and evidence that can be independently reviewed.
Abstract primitives that govern all downstream systems. These are not products—they are architectural models that inform downstream system design.
DCG
Foundational consent and responsibility model. It defines how implementations should record explicit consent before consequential system interactions.
This is not an end-user product or a certification. DCG is a governing model that downstream implementations must translate into testable controls.
BTC
Conceptual behavioral-trust model for examining how documented actions may influence access and confidence over time.
Not a product or automated authority. Any implementation affecting access or privilege requires transparent rules, appeal paths, and human oversight.
Downstream implementations built on Core Protocol primitives. Each system is designed to align with its governing specification.
Downstream domain testbeds evaluating how iKG governing primitives perform under real-world regulatory and operational conditions.
An educational tax-concept prototype. Interactive calculations, return preparation, filing workflows, and sensitive taxpayer-data collection are disabled pending independent compliance and security review.
A domain test examining how documented input states and consent records could support approval-intensive processes. Star Approval remains an exploratory design and does not independently validate inputs or make authoritative decisions.
A proposed domain test for consent, provenance records, and human review in pharmaceutical data and supply-chain contexts. No pharmaceutical, regulatory, or assurance functionality is currently offered.
These trajectories do not define ecosystem authority. They serve as real-world test domains to evaluate the soundness and limits of iKG governing primitives under practical conditions.
We believe better technology can strengthen—not replace—responsible institutions and human judgment. Our mission is to develop trust-first systems where consent is explicit, decisions are reviewable, and important outcomes remain subject to accountable human governance.