Semantic Guardrails for Your AI-Accelerated SDLC
Stop your coding agents from hallucinating your B2B SaaS domain logic and creating shadow schemas. I deliver fixed-scope 2-week sprints to anchor your AI development workflows in a deterministic semantic foundation that eliminates semantic drift and massive PR bottlenecks.
- The Executive Dilemma: Large Language Models excel at generating code quickly, but they operate entirely on statistical probabilities. When unleashed on an enterprise codebase with only natural language requirements, AI agents confidently invent parallel data models. This creates 'shadow schemas' that violate core architectural rules and shift a massive cognitive load onto your senior engineers during code review.
- Why Now: AI-Accelerated Development introduces a powerful workflow to capture developer intent. However, relying purely on natural language leaves your complex platform domains exposed to semantic ambiguity. If product squads scale autonomous coding agents without an immutable, governed, machine-readable boundary, the resulting architectural divergence will rapidly compound technical debt and slow down delivery.
- The Solution: I bridge the gap between probabilistic AI reasoning and deterministic software architecture. By extracting your core domain rules into a machine-readable LinkML ontology and injecting it directly into your AI-accelerated workflows, we establish absolute Domain Ontology Authority.
Designed for AI-accelerated development teams scaling Cursor, Claude Code, or Specification-Driven Development (SDD).
Fixed-Scope Architectural Sprints
No open-ended advisory retainers. Just deterministic semantic guardrails for your AI-accelerated workflows, deployed in strict 2-week sprints.
The Ontology-Grounded SDLC Sprint
Anchor your AI-accelerated workflows in a deterministic semantic foundation to eliminate shadow schemas and massive PR bottlenecks.
Fixed Project Fee (Excl. VAT)
Customized for your AI-accelerated development stack.
- The Local Domain Ontology Baseline
- Targeted Development Workflow Integration
- Executable Semantic Foundation (e.g., OpenAPI/JSON)
- Semantic Validation Hooks
- Agentic Skills for Iterative Ontology Maintenance
Commences upon mutual execution of the targeted Statement of Work (SOW).
Book Your Alignment CallQuestions & Answers
I deliver a single, highly opinionated service for enterprise B2B SaaS platforms ($100M+ ARR): The Ontology-Grounded SDLC Sprint.
Instead of open-ended advisory retainers, I deliver a fixed-scope, 2-week architectural intervention. I establish the deterministic semantic foundation required to safely govern your internal AI coding tools (like Cursor, Claude Code, or SpecKit), eliminating hallucinated "shadow schemas" and massively reducing PR review bottlenecks.
My focus is exclusively on engineering leadership (CTOs & VPs of Engineering) at enterprise B2B SaaS platforms who are scaling AI-accelerated development across their organization.
The core bottleneck: Your disparate product squads are leveraging AI coding agents without centralized semantic guardrails. These agents are confident but statistically probabilistic—they invent parallel business logic and unauthorized data structures, which instantly compounds technical debt and shifts a massive cognitive load onto your senior engineers during code review.
Agencies sell "Labor" (billable hours); I deliver "Systems" (Executable IP).
- ✅ No "Junior" Hand-offs: You work directly with a Ph.D. in Computer Science with 15+ years of experience in enterprise service ecosystem engineering.
- ✅ Architectural Insurance: I don't give you a slide deck of "prompt engineering tips". I provide the deterministic, machine-readable ground truth (LinkML) and the automated execution hooks that physically prevent semantic divergence from fracturing your platform.
To ensure rapid value delivery and bypass bloated consulting overhead, the engagement follows a strict 2-Week Architectural Sprint:
- Targeted Domain Extraction: We isolate a single, high-impact roadmap domain and extract your core operational concepts into a formal LinkML domain ontology.
- Rapid Metamodeling: I configure the standard LinkML ecosystem so your team can automatically generate downstream execution assets (JSON schemas, OpenAPI specs) directly from the ontology without custom tooling.
- Handover & Semantic Execution: I wire semantic linters and pre-execution hooks directly into your development workflow, enforcing ontological compliance before AI agents can generate code.
I deliver Deterministic Validation against Semantic Drift:
- Pre-Execution AI Governance: While LLMs are inherently probabilistic and will inevitably attempt to hallucinate, your pipeline will not. Unauthorized data structures trigger immediate, deterministic semantic linting failures. Your AI agents are mathematically forced to respect your architectural boundaries before any code is committed.
- Automated Maintenance: To prevent the ontology from becoming a manual maintenance burden, I deliver Agentic Skills that automatically identify missing concepts during execution and draft the required ontology changes for human review.
- Velocity & Cost Optimization: Because your AI coding models are constrained by a strict semantic framework, they waste fewer context windows trying to deduce application logic. With a solid semantic foundation, you can safely route complex coding workflows to smaller, faster, and cheaper models without degrading reliability.
The argument is Engineering ROI and Catastrophic Risk Mitigation:
- The PR Bottleneck (ROI): Every hour a senior engineer spends debugging an AI-hallucinated business logic or database schema in a Pull Request is an hour stolen from shipping high-value roadmap features.
- The Runtime Risk (Mitigation): AI-generated code often looks structurally perfect while being semantically wrong. If a subtle, AI-generated business logic error slips past manual review and reaches production, the runtime implications in an enterprise SaaS environment—cross-tenant data leaks, corrupted core logic, or broken compliance—are catastrophic.
You are making a discrete, one-time CapEx investment to remove the PR bottleneck and mathematically prevent unauthorized architectural changes from ever reaching production.
I use a transparent, fixed-fee model to eliminate procurement friction.
- The Ontology-Grounded SDLC Sprint: €19,500 (Excl. VAT).
- Billing Schedule: 100% billed upon mutual execution of the Statement of Work (SOW) to secure your spot on the calendar and initiate the sprint.
There are no hidden overages, mandatory phase-two lock-ins, or ongoing software subscription fees. You retain 100% ownership of the localized IP.