Implementation notes, service pages, and technical references for production AI agent systems, prompt security, retrieval, evaluations, and operator-ready workflows by Stefan Creadore.
Implementation notes, service pages, and technical references for production AI agent systems, prompt security, retrieval, evaluations, and operator-ready workflows by Stefan Creadore.
A practical guide to turning Claude Code sessions into resumable AI agent loops with state files, reviewer gates, proof artifacts, and stop conditions.
A decision page for choosing Codex, Claude Code, Cursor, or AI SDK workflows across implementation, code review, debugging, and full-stack agent development.
A production architecture pattern for OpenAI agent systems with tool boundaries, structured outputs, evaluator gates, memory, and human approval.
A full-stack engineering guide for AI SDK applications using typed tools, streaming UI, structured handoffs, and Next.js route boundaries.
A practical architecture for Model Context Protocol servers that expose typed tools, data sources, and audit-friendly integration boundaries to AI agents.
A decision guide for choosing retrieval, tool calling, MCP servers, or workflow graphs when building agentic applications.
A portfolio-backed explanation of Stefan Creadore's governed AI agent approach: permissions, evidence, approvals, execution receipts, and operator trust.
A launch checklist for evaluating AI agents across task success, retrieval quality, tool safety, human approval, observability, and regression gates.
A local SEO service page for Tampa and Florida teams that need governed AI agents, MCP tool boundaries, RAG systems, AI SDK apps, evals, and production proof.
A Tampa service page for building AI SDK 7 applications with Next.js, streaming UI, typed tools, provider routing, MCP integrations, evals, and production handoffs.
A Tampa service page for designing MCP servers, typed tools, permissions, provenance, caching, freshness, and reusable AI-agent integrations.
A Tampa AI engineering page for Claude Code, Codex, state files, proof gates, reviewer passes, worktrees, and resumable agentic development workflows.
A defensive AI security page for system prompt leakage, prompt injection, redacted prompt analysis, tool boundaries, policy gates, monitoring, and evals.
A defensive analysis page for Claude Fable 5 and GPT-5.6 system prompt leak searches, redacted prompt taxonomy, provenance, and frontier-model security controls.
Each page is built from a reusable data spine and must carry real evidence: Stefan's projects, tutorials, prompt-library entries, research notes, or official product documentation. Weak pages can be held as noindex until they have enough evidence to help a reader.
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