MiRuntime documents the architectures, controls, and evidence systems required to turn probabilistic models into dependable software behavior. It treats Machine Intelligence Runtime as an emerging execution layer and editorial framework—not as a settled standard or an implied product.
Publication commitments
- Separate model inference from governed execution.
- Distinguish production practice, vendor implementation, research, editorial synthesis, and forecast.
- Prefer reviewable system behavior over promotional claims.
- Make source status, review dates, uncertainty, and correction paths visible.
Research on execution-time control and established risk-management guidance inform the publication’s scope without establishing MIR as an industry standard. Source: Runtime research Source: NIST AI RMF
Maintainer and editorial responsibility
MiRuntime is independently maintained by Michael Kappel. The profile below connects the publication to a named editor, public contact channels, and reviewable professional sources rather than an invented team biography. Source: Public portfolio Source: GitHub profile
Editor and technical maintainer
Michael Kappel
Senior Software Engineer / Software Architect
Enterprise modernization, runtime governance, and reviewable AI-assisted engineering.
Michael Kappel maintains MiRuntime as an independent technical publication. His work centers on enterprise architecture, .NET and SQL Server modernization, TypeScript and Angular delivery, AI-assisted engineering, runtime governance, memory handoff, and reviewable evidence systems.
- Experience
- 20+ years enterprise delivery
- Primary stack
- AI-assisted engineering · .NET / C# · SQL Server · TypeScript / Angular
- Location
- Cicero, IL
- Publication role
- Editor and technical maintainer of MiRuntime.com
Public proof path
Review experience without relying on an unsourced biography.
These external records provide the résumé, role history, project evidence, and public code profile behind the concise MiRuntime operator summary.
Role history, responsibilities, technologies, and delivery context.
Open source (opens in a new tab) Résumé Public résuméConcise public résumé and recruiter-oriented evidence path.
Open source (opens in a new tab) Project evidence Selected projectsPublic project and capability evidence with explicit claim boundaries.
Open source (opens in a new tab) Code profile GitHub repositoriesPublic repositories and open-source code.
Open source (opens in a new tab)Experience behind the editorial lens
The site approaches AI runtimes as a software-systems problem: preserve behavior, make authority explicit, design for failure and recovery, and produce evidence that can survive review. The experience summary is intentionally concise; the linked public records remain the source of detail.
Enterprise software delivery spanning architecture, legacy modernization, data-intensive systems, typed web applications, technical leadership, and human-reviewed AI-assisted engineering.
20+ yearsEnterprise architecture and modernization
Business-critical .NET and SQL Server systems, service boundaries, legacy migration, behavioral parity, and maintainable data workflows.
AI-assisted and runtime-oriented engineering
Prompt contracts, semantic search, local model workflows, MCP, memory handoff, source review, and explicit human approval boundaries.
Typed front-end delivery
TypeScript, Angular, RxJS, responsive interfaces, API contracts, and accessibility-aware implementation for long-lived applications.
Technical leadership
Architecture review, mentoring, unit and integration testing, CI/CD, code review, and practical modernization planning.
Editorial method
Define the claim
Identify whether a statement is a definition, implementation detail, production pattern, research result, editorial synthesis, or forecast.
Prefer primary evidence
Use specifications, official documentation, government guidance, original papers, public code, and named professional sources before secondary summaries.
Bound the language
Remove unsupported metrics, future feature claims, customer implications, and consensus language that the evidence cannot support.
Record review state
Attach a stable source ID, publication status, last-reviewed date, and complete reference record to time-sensitive content.
Design for correction
Provide a direct route from each reference section to a correction message with the page context already attached.
Preserve the boundary
Keep conceptual contracts, editorial models, prototypes, and production implementations visibly distinct.
Stable MiRuntime terminology used consistently across the reference.
An established systems practice that can be implemented with existing technology.
A sourced capability from a named provider, reviewed against official documentation.
A paper, prototype, or proposed method that has not been promoted to production fact.
Original synthesis and architectural judgment attributable to this publication.
A scenario with assumptions and uncertainty, not a guaranteed roadmap.
Corrections and source review
Correction path
Attach the page, describe the issue, and provide the stronger source.
Reference sections now include a “Suggest a correction” action that preselects the research-correction topic and carries the current page URL into the contact form. Submissions are emailed directly to Michael Kappel; the theme does not create a public account or store a contact-entry database.
- IdentifyName the page, source ID, or claim.
- ExplainState what is inaccurate, stale, ambiguous, or unsupported.
- SupportProvide a primary source or reproducible evidence when available.
- ReviewThe publication either corrects, clarifies, defers, or documents why the claim remains.
Independence and publication boundaries
No invented organization
MiRuntime does not imply a staff, customers, investors, partners, endorsements, certifications, or adoption metrics that do not exist.
No hidden product claim
The site is a technical publication and reference architecture. Conceptual schemas and demos are not presented as a shipped SDK or managed service.
No automatic authority
External profiles and public project records support the editor biography; they do not convert personal opinion into an industry standard.
No certainty laundering
Research inputs, forecasts, and supplied reports remain labeled and are not promoted into fact merely because they are technically plausible.
Source record
References
Michael Kappel. MikeKappel.com. Published Current public portfolio; last reviewed 2026-06-20 UTC. Public professional portfolio.
- MichaelKappel GitHub profile Primary source
Michael Kappel. GitHub. Published Current public profile; last reviewed 2026-06-20 UTC. Public code profile.
- AI Runtime Infrastructure Primary source
Christopher Cruz. arXiv. Published 2026-03; last reviewed 2026-06-20 UTC. Research paper.
National Institute of Standards and Technology. NIST. Published 2023-01-26; last reviewed 2026-06-20 UTC. Government framework.