Applied AI
Skill files that accelerate investor-ready AI prototypes
Investor-ready AI prototypes demand more than clever models; they require repeatable, auditable workflows that align with business KPIs and risk controls.
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Technical Advisory & Systems Research
Engineering Perspectives
Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
Applied AI
Skill files that empower AI agents to write tests before refactoring
In production AI systems, refactoring without automated tests is risky. Skill files codify test scaffolds, data contracts, and evaluation logic as reusable assets that AI agents can consume when planning changes.
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Applied AI
Skill files that improve AI agent orchestration in production systems
Skill files and templates are the scalable backbone of production AI. They convert bespoke experiments into repeatable, auditable pipelines.
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Applied AI
Skill files that prevent agents from modifying sensitive files in production AI systems
In production AI systems, safeguarding the integrity of sensitive data and critical files isn’t a nicety—it’s a requirement.
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Applied AI
Skill files that prevent irreversible actions by agents in production AI
In production AI, behavior constraints matter as much as capability. Skill files provide reusable, versioned guardrails that constrain what an agent can do, when to escalate, and how to revert changes.
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Applied AI
Skill files that reduce Stripe webhook mistakes in production
Stripe webhook handling in production is not a one-off code snippet; it is a data pipeline that must survive retries, spikes, and evolving event schemas.
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Applied AI
Skill files that shape reliable AI agent behavior in production
In production AI, skill files are the engine that turns abstract capability into reliable behavior. They codify what an agent can do, how it calls tools, how it remembers context, and how it should react under guardrails.
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AI Governance
Skill files to detect risky refactoring in AI systems
Production AI systems hinge on disciplined change management. Refactoring that isn’t properly guarded can introduce subtle drift, hidden regressions, and governance gaps that impact reliability and business outcomes.
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Applied AI
Skill files to improve webhook implementation quality
In production AI, webhook reliability hinges on repeatable workflows and guardrails. Skill files and CLAUDE.md templates standardize decisions, reduce drift, and accelerate safe deployment.
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