Resume

Executive summary

Technology executive with a demonstrated track record of shipping and operating governed, production AI product delivery -- not slideware. As Founder & Chief AI Officer at Just In Time AI, has proven ability to build and ship AI-driven product, platform, and security capability at scale by massively leveraging multi-agent AI delivery, evidenced by a hard governance layer (evidence classes, approval gates, claim ceilings, trust boundaries) in front of every public or customer-facing result [C-01][C-02][C-13]. Prior technical authority spans more than a decade of public enterprise-technology publishing and community engagement under the ITProGuru brand, including a documented professional background as a Microsoft Chief Technology Strategist and co-author of two Microsoft Press technical books [C-14][C-15][C-63]. Targeting senior/executive technology leadership roles (CTO, Chief AI Officer, VP Engineering, or board technology advisor) where the mandate is building durable AI-enabled systems, not just piloting them.

Core competencies

• AI product and platform architecture -- staged, inspectable AI workflows; modular analysis engines; cross-product shared-service contracts [C-03][C-04][C-07].
• Multi-agent AI delivery operations -- demonstrated success shipping governed, multi-agent discovery and content pipelines with deterministic-first design, reproducible evidence artifacts, and documented model-tier routing (which model/task shapes pass vs. fail) [C-02][C-20].
• Reliability and test-driven delivery -- proven ability to ship regression-protected streaming and configuration-migration code paths; defect-and-correction discipline recorded as evidence, not asserted [C-06][C-10][C-02].
• Security-aware operations -- tested diagnostic-output redaction using fabricated-sentinel verification so secret-handling claims are provable without exposing real secrets [C-08].
• Technical content and AI-discoverability (AEO) systems -- delivered interfaces and structured-content patterns built for both human and AI-assisted discovery [C-11].
• Governance-by-design for AI-generated work -- proven ability to author and operate an eight-part technology-proof spine and evidence- classification model that keeps every public claim bounded to what is independently verifiable [C-13][C-18].
• Hands-on production AI systems -- track record of shipping named production-AI mechanisms: multi-vendor AI resilience with circuit breakers, anti-hallucination confidence gating, and cost-disciplined model-tier governance [C-36][C-40].
• Enterprise technology leadership heritage -- 17+ years of public technical authorship and community education spanning Windows Server, Hyper-V, virtualization, Azure, cloud migration, PowerShell/DevOps, and a 2025 pivot into applied AI [C-15].

Professional experience

Just In Time AI -- Founder & Chief AI Officer

*Tenure/dates: evidence-pending -- see claims-ledger C-19*

Leads AI-enabled product, platform, and delivery work across multiple concurrent product lines by heavily leveraging AI-assisted engineering, governed by an explicit evidence and approval framework rather than informal trust.

• Designed and operates a governed, multi-agent AI discovery and content-production pipeline: deterministic mechanical scanning first, model calls bounded and schema-constrained second, every run logged with its reproducibility class, defects found, and the exact correction applied [C-02][C-20].
• Architected a staged website-analysis orchestration layer that turns a previously ad hoc, inconsistent review process into a repeatable, inspectable multi-step workflow [C-03].
• Delivered a modular AI-assisted site-analysis engine and a structured HTML report-generation layer that converts raw analysis output into a reviewable, actionable deliverable [C-04][C-05].
• Implemented and regression-tested resilient handling for streamed AI responses at difficult network-chunk boundaries, treating the failure mode as a reliability case proven by tests rather than an assumption [C-06].
• Authored a shared package of provider, tenant, entitlement, onboarding, and adapter contracts so multiple products stop re-implementing the same platform-integration surface [C-07].
• Implemented and regression-tested a diagnostic-output redaction boundary using fabricated sentinel values, proving sensitive launch arguments are stripped while operational diagnostics remain useful [C-08].
• Built versioned, repeat-safe client-settings migration logic with a defined fallback for unavailable browser storage, protecting user configuration as application schemas evolve [C-10].
• Delivered an AI-oriented content-discoverability (AEO) resource experience in React/TypeScript, organizing practical guidance around explicit discovery questions rather than unstructured pages [C-11].
• Led a rapid website rebuild that preserved a structured legacy-media inventory and improved reusable image metadata during a compressed modernization window [C-12].
• Authored the eight-part technology-proof spine and evidence-classification model (buyer problem, stakes, outcome-level approach, principles, delivered result, evidence class, feedback path, restrained CTA) now used to gate every public technology claim this program produces [C-13].
• Operating scope extends across AI-enabled field-support tooling, a marine-service AI product line, a security/MSSP delivery capability, and a shared platform/orchestration layer; customer-specific and commercial detail on those lines is intentionally withheld from this public document [C-16][C-17].
• Proven track record of building and operating a two-repository, multi-tenant, voice-first AI field-repair platform (4,228 combined commits since 2025-08-11) with a CI-enforced real-analysis promotion gate blocking unverified merges to `uat`/`main` [C-23].
• Proven track record of shipping a new product vertical in weeks, not months or years -- a ~13-week span from first commit to live paid checkout, independently corroborated against commit history [C-42].
• Proven track record of shipping a single scan orchestrator (149-217 checks, mapped to CIS v8/NIST CSF/CMMC) deployed live on Azure Container Apps and powering two separate products plus a file-based CLI mode from the same check library [C-26][C-60].
• Demonstrated success shipping named production-AI mechanisms: multi-vendor AI resilience with circuit breakers, and an anti-hallucination confidence gate that withholds a diagnosis below an 85% confidence threshold in favor of a clarifying question [C-36][C-40].
• Proven ability to operate a governance framework for AI-assisted collateral: a per-claim substantiation gate marking every marketing number verified, worked-math, industry-stat-with-citation, owner-attested, or UNSUBSTANTIATED-do-not-air before reuse [C-46].
• Operates a charter-governed AI-agent delivery organization spanning 12 parallel work lanes with role-based accountability, cadence, and a documented quality gate that has already caught and blocked a defect before it could propagate -- the operating discipline of managing multiple engineering teams, applied to an agent workforce. Prior Microsoft-era experience (14 years, Chief Technology Strategist) included cross-organization technical leadership at enterprise scale [C-14][C-18].

ITProGuru -- Founder / Principal Technical Author

*Public technical publishing since at least 2008; founding date and formal tenure: evidence-pending -- see claims-ledger C-19*

• Built and maintained a long-running technical-education publishing practice: approximately 750-800 posts spanning 17+ years, covering Windows Server, Hyper-V and virtualization, Azure and cloud migration, PowerShell/DevOps and source control, and a 2025 pivot into applied AI topics [C-15].
• Professional background includes service as a Microsoft Chief Technology Strategist, with an author-stated 30+ years of enterprise technology experience [C-14].
• Proven track record of authoring published technical books: co-author of two Microsoft Press "Exam Ref" titles on architecting Microsoft Azure solutions (2015 and 2018) [C-63].
• The ITProGuru archive and the Just In Time AI Founder & Chief AI Officer identity are maintained as reciprocal, non-merging authority surfaces: one is the historical technical-education record, the other is the current company and product authority. Neither is represented as having become the other [C-15].

Selected technical delivery evidence

Claims ledger

Every claim above links to a proof record when one has been compiled and published; otherwise it is labeled evidence-pending.

1. Verified C-00 (verified): danstolts.com is the intended canonical personal target for this portfolio; no live page exists yet. evidence-pending
2. Verified C-01 (verified): Dan Stolts holds the title Founder & Chief AI Officer, JIT AI. evidence-pending
3. Verified C-02 (verified): Demonstrated success shipping and operating a governed, multi-agent AI discovery and content-production pipeline in production: deterministic-first scanning, bounded model calls, and per-run reproducibility/defect logging. evidence-pending
4. Verified C-03 (verified): Architected a staged website-analysis orchestration workflow enabling repeatable, inspectable multi-step review. evidence-pending
5. Verified C-04 (verified): Delivered a modular AI-assisted website analysis engine for technical/prioritization workflows. evidence-pending
6. Verified C-05 (verified): Built structured HTML report generation converting analysis findings into a navigable, actionable deliverable. evidence-pending
7. Verified C-06 (verified): Implemented and regression-tested resilient handling of streamed AI responses at difficult network-chunk boundaries. evidence-pending
8. Verified C-07 (verified): Authored shared provider/tenant/entitlement/onboarding/adapter contracts reducing duplicate platform-integration work across products. evidence-pending
9. Verified C-08 (verified): Implemented and regression-tested a diagnostic-output redaction boundary using fabricated-sentinel verification (no real secrets exposed in the test). evidence-pending
10. Verified C-09 (verified): Published an open project-context toolkit for AI-assisted development continuity (Git, Node.js, Markdown, orchestration patterns). evidence-pending
11. Verified C-10 (verified): Built versioned, repeat-safe client-settings migrations with a defined fallback for unavailable browser storage. evidence-pending
12. Verified C-11 (verified): Delivered an AI-oriented content-discoverability (AEO) resource experience in React/TypeScript. evidence-pending
13. Verified -- attested C-12 (verified (owner attestation)): Led a rapid website rebuild that preserved a structured legacy-media inventory and improved reusable image metadata. evidence-pending
14. Verified C-13 (verified): Authored the eight-part technology-proof spine and evidence-classification model governing every public technology claim in this program. evidence-pending
15. Verified -- attested C-14 (verified (third-party-published author bio, not a Microsoft HR record)): Professional background includes service as a Microsoft Chief Technology Strategist, with an author-stated 30+ years of enterprise technology experience. evidence-pending
16. Verified C-15 (verified): Built and maintained a long-running technical-education publishing practice under the ITProGuru brand: ~750-800 posts spanning 17+ years, covering Windows Server, Hyper-V, Azure, PowerShell/DevOps, and a 2025 pivot to AI; ITProGuru and the JIT AI identity are maintained as reciprocal, non-merging authority surfaces. evidence-pending
17. Evidence pending C-16 (evidence-pending): Successful AI/SaaS product delivery exists with real customers and commercial adoption beyond the public evidence sample; no customer identity or commercial figure is disclosed. evidence-pending
18. Verified C-17 (verified): Operating scope spans AI-enabled field-support tooling, a marine-service AI product line, a security/MSSP delivery capability, and a shared platform/orchestration layer. evidence-pending
19. Verified C-18 (verified): Proven ability to design and operate a governance framework for AI agent execution: a codified trust-zone/approval model separating AI agent execution authority from human review, gating what an AI agent may do autonomously versus what requires Owner review. evidence-pending
20. Evidence pending C-19 (evidence-pending): Specific tenure/start dates for the Founder & Chief AI Officer role at Just In Time AI and the founding date of ITProGuru. evidence-pending
21. Verified C-20 (verified): Demonstrated success shipping task-specific AI model routing: deterministic scanning is used first, and model calls are scoped/bounded per task shape, with specific model-tier pass/fail findings recorded per run (e.g., broad prompts against smaller local models failed; small schema-constrained tasks passed). evidence-pending
22. Evidence pending C-21 (not asserted (evidence-pending)): Formal education and certification claims. evidence-pending
23. Verified C-22 (verified): Public contact channel(s) for this document (email, phone, LinkedIn). evidence-pending
24. Verified C-23 (verified): Proven track record of building and operating a two-repository, multi-tenant, voice-first AI field-repair platform (4,228 combined commits since 2025-08-11) with a CI-enforced real-analysis promotion gate blocking unverified merges to `uat`/`main`. evidence-pending
25. Verified C-24 (verified): Designed a two-path settings-change discipline (JSON-blob vs. promoted-column) guaranteeing no silent undefined config drift across a frontend/backend API boundary. evidence-pending
26. Verified C-25 (verified): Built a multi-sector security-scanning platform (jITSecure) with industry-specific risk multipliers for legal, healthcare, financial, and manufacturing sectors, mid-migration via a documented nine-phase parity-before-cutover plan from a Windows-only scanner to a cross-platform .NET binary. evidence-pending
27. Verified C-26 (verified): Proven track record of shipping a single 149-check scan orchestrator, deployed live on Azure Container Apps, powering two separate products (an AEO/SEO product and a security domain-scan product) plus a file-based CLI mode from the same check library. evidence-pending
28. Verified C-27 (verified): Authored a shared provider-services contract (JitPlatform) -- locked SQL schema, versioned provider API, and a working adapter reference implementation -- built to retire duplicate tenant/billing/entitlement code across up to seven named consuming products. evidence-pending
29. Verified C-28 (verified): Extended a general AI field-repair platform into a distinct marine-vertical product (AI Boat Mechanic) as a separately deployed, separately branded frontend consuming the shared backend rather than forking it. evidence-pending
30. Verified -- attested C-29 (verified (owner attestation)): Dan Stolts has ADHD and names it as his biggest superpower; most of what he builds is designed around it. evidence-pending
31. Verified C-30 (verified): Authored a binding, portfolio-wide UX constraint set naming ADHD and dyslexia explicitly as disabilities (not preferences) that every product or internal tool the author uses as an end-user must satisfy, including no-hidden-state, no-flow-breaking-modal, and low-transcription-error rules. evidence-pending
32. Verified C-31 (verified): The ADHD/dyslexia constraint set in C-30 is applied in practice, not only stated: at least three shipped internal design specs check a real feature against the same numbered rules before merge. evidence-pending
33. Verified C-32 (verified): Built and publicly released an open-source project-context/memory toolkit (jitneuro) applying the same "the system remembers so the person doesn't have to" design principle to an AI coding agent's working memory. evidence-pending
34. Verified C-33 (verified): AI Field Support supports voice-first interaction: hands-free dictation (speech-to-text) and spoken diagnostic guidance (text-to-speech), via the browser's native speech APIs. evidence-pending
35. Verified C-34 (verified): AI Field Support supports offline-first access: an installable PWA with a caching service worker, plus a local database and last-write-wins sync engine so offline work survives a reconnect. evidence-pending
36. Verified C-35 (verified): AI Field Support integrates sign-in with multiple major identity systems, including Microsoft 365 / Entra ID SSO (both Entra External ID/CIAM and enterprise Azure AD/Entra work-account SSO), plus Google, Microsoft Personal, and Apple Sign-In. evidence-pending
37. Verified C-36 (verified): Demonstrated success shipping a production AI anti-hallucination measure: diagnoses are withheld below an 85% confidence threshold in favor of a clarifying question, with a streamed per-system confidence ledger showing the reasoning. evidence-pending
38. Evidence pending C-37 (verified (sampled)): AI Field Support scopes every authenticated request to a tenant via a tenant-access guard and consistent `tenant_id` filtering. evidence-pending
39. Verified C-38 (verified): AI Boat Mechanic is a frontend-only consumer of the AI Field Support backend (no server/API/database of its own), inheriting the shared backend's voice, offline, auth, and AI-diagnostic capabilities rather than re-implementing them, and carries real marine-specific onboarding UI for boat owners. evidence-pending
40. Verified -- attested C-39 (owner-attested, evidence-pending): AI Boat Mechanic offers multilingual reach for its marine-vertical audience. evidence-pending
41. Verified -- attested C-40 (owner-attested; per-product verification mixed): Demonstrated success shipping a portfolio-wide AI-resilience design standard: "we have model and company fall backs for everything AI related for our ai products" (Owner, verbatim, 2026-08-24). evidence-pending
42. Verified C-41 (verified): AI Boat Mechanic's frontend is a branding/config layer over the AI Field Support engine, not a second engine: it consumes the shared backend through an environment-variable identity layer and a marine-specific UI layer, with no server, API, or database of its own, proving the platform's extensibility in production rather than as a design promise. evidence-pending
43. Verified C-42 (verified): Proven track record of shipping a new product vertical in weeks, not months or years: vertical-specific AI prompts/domain knowledge plus light API additions layered on top of the frontend skin (C-41), corroborated by a ~13-week span from first commit to live paid checkout. evidence-pending
44. Verified C-43 (verified): AI Boat Mechanic already offers a free monthly tier: a recurring no-cost plan grants one AI diagnostic per month (with a one-time free full-repair unlock for completing a profile and verifying a phone number), wired live into the product's plan-selection and signup routes -- letting a boat owner run a self-diagnosis before deciding whether the problem is DIY or needs a shop, and, if a shop visit is needed, arrive with a cost expectation already formed rather than a blind call. evidence-pending
45. Verified -- attested C-44 (owner-attested, planned (no date)): AI Field Support will offer the same free-tier, self-diagnosis model as AI Boat Mechanic (C-43) -- letting a technician or equipment owner run a diagnosis themselves before deciding DIY vs. calling a shop. evidence-pending

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