Systems-first applied AI
MyKanik is an intelligence platform created by Brenden Portolese.
While the initial application focuses on automotive repair, MyKanik is fundamentally a procedural knowledge platform — designed to retrieve, canonicalize, and present complex, multi-step instructions from multiple sources in a way that is structured, explainable, and trustworthy. (Patent Pending)
This is not a generic AI chatbot. It is an intentionally designed system built to address known failure modes in large language models when applied to step-based, safety-sensitive domains.
Most AI assistants struggle with procedural tasks:
MyKanik was built to solve those problems directly.
The system assembles responses from authoritative manuals, structured data sources, and community knowledge, determines procedural equivalence across sources, and produces a canonical, structured answer that can be safely referenced and refined through follow-up interaction.
MyKanik constructs a structured Answer Plan for each procedure, rather than generating ad-hoc text. This plan persists across the session and anchors all follow-up questions.
OEM documentation, professional guides, and community insights are preserved with explicit provenance. Conflicts are surfaced, not hidden.
When a user asks a follow-up question ("What about step 2?"), the system resolves it against the existing procedure instead of re-querying the entire knowledge base.
Safety warnings, constraints, and risk-sensitive steps are treated as first-class system components, not optional annotations.
MyKanik is intentionally built as an intelligence platform featuring automotive repair:
MyKanik was designed and built by Brenden Portolese, a product leader and systems architect with over 15 years of experience building and modernizing large-scale platforms across fintech, data, and infrastructure-heavy domains.
This Product reflects a personal belief that successful AI products require intentional system design, clear constraints, and respect for the underlying problem domain — especially when real-world outcomes matter.
MyKanik is both a working product and a living portfolio of how to design AI systems that go beyond prompt engineering.
The same architecture applies to other domains such as:
The core problem — turning fragmented procedural knowledge into something reliable and interactive — is universal.