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Tionne Smith

Creative Technologist · Forward Deployed AI Engineer

I research, design, build, test, and ship across applied AI, backend systems, web, digital products, and visual design.

My work spans AI runtimes, memory/context systems, governance and verification, front-end architecture, back-end architecture, digital experiences, brand systems, and print/digital design.

Open source

Microsoft Agent Governance Toolkit

agt verify — runtime evidence validation
Extended verification beyond package/import checks toward evidence-backed runtime posture, including safer evidence parsing, path validation, and file-size protections.
Merged PR #969

Selected work

A context-governance runtime for AI agents that makes memory, policies, evaluations, and execution receipts executable, validated, versioned, and auditable.

Replayable causal audit traces for high-risk financial AI decisions.

Research

I publish and test ideas around stateful AI, persistent identity, context architecture, governance, agent behavior, and human–AI interaction.

Recent work includes graph-structured memory for long-horizon LLM context and experiments around agent behavior under different task and deadline conditions.

AI Mental Health Collective

I collaborate with clinicians on research and public-facing resources exploring AI and mental health through AIMHC.

Creative + technical practice

  • Applied AI and agent runtimes
  • Back-end architecture and API integration
  • Front-end architecture and production web
  • Digital product and UI/UX implementation
  • Brand systems, art direction, and creative direction
  • Print and digital design
  • Runtime verification, evals, and governance
  • Memory and context systems

Links

Personal · Coexi · Design · LinkedIn · ResearchGate · ORCID

Pinned Loading

  1. c-dag c-dag Public

    C-DAG: replayable causal audit traces for high-risk financial AI decisions.

    Python 1

  2. agentmd-runtime agentmd-runtime Public

    AgentMD is a context governance runtime for AI agents. It makes AGENTS.md, skills, memory, policies, evals, and execution receipts executable, validated, versioned, and auditable.

    Python 1