AI Agent Compliance: Guardrails for Enterprise Prompt and Data Safety
How to design secure agent loops that protect user data, prevent prompt injection attacks, and meet enterprise legal requirements.
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Step-by-step systems for agents, retrieval, structured outputs, and production prompts.
7 published guides
Documenting Human Contribution: How Dev Teams Must Log AI-Assisted Code for Patent Filings
A technical compliance guide on logging human-AI collaboration metadata to meet USPTO inventorship standards and secure software patents.
Read guideAutomate Client Invoicing with Google Sheets, Gmail, and Make.com
A step-by-step guide to building a zero-code invoice generation and delivery system that sends automated PDFs via Gmail when a row is added to Google Sheets.
Read guideMulti-Tenant API Cost Allocation: Building an LLM Token Tracker and Billing System
A step-by-step infrastructure guide to building an outbound API proxy middleware and database schema that logs token usage and allocates exact LLM costs per tenant.
Read guideAgentic RAG Orchestration: Multi-Agent Gemini & Antigravity SDK
Design production-grade Retrieval-Augmented Generation (RAG) systems utilizing multi-agent orchestration frameworks and the Gemini API.
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The Best Vector Databases for Gemini API Agentic Loops: 2026 Comparison
Discover the best vector databases to store and query text embeddings generated by the Gemini API, comparing Pinecone, Supabase, and Qdrant.
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Strict Structured JSON Outputs in Gemini: Schema Enforcement using Python
Enforce strict JSON schemas on Gemini API outputs using Pydantic models and Python configurations for reliable, production-ready parsing in agent loops.
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