Building AI-operated systems out of Nashville, TN
Day job: engineering + AI at a healthcare company.
After hours: running BMD HODL -- a one-person AI-operated holding company. 12 agents. One human. Compound across decades.
AgentGuard pip install agentguard47
Your agent just burned $200. AgentGuard stopped it at $5.
Runtime cost guardrails for AI agents. Budget caps, loop detection, kill switches. Drop it in front of any LLM call. Zero dependencies. MIT.
from agentguard47 import AgentGuard
guard = AgentGuard(budget=5.00)
with guard:
response = client.chat(...) # enforces budget at runtimeWorks with OpenAI, Anthropic, LangChain, or anything that makes LLM calls.
RTX 3070 + RTX 5070 Ti + RTX 5090
llama.cpp running Llama 3.1 8B
Because sending every token to a cloud API gets expensive fast.
I write about AI agents, local LLMs, and building things solo at bmdpat.com.
- Prompt injection and AI agents: what actually breaks
- Local LLM inference on consumer GPUs in production
- AI agent cost control with AgentGuard