AI Builder Pro

A concept map + tested neutral adapter for migrating between (or supporting both) the OpenAI and Anthropic APIs: system prompts, required max_tokens, tool calling, stop reasons, streaming.

Layered, tested defenses against prompt injection for LLM apps and agents: input isolation, a heuristic injection detector, an action gate, and 16+ attack tests proving what each layer stops.

A black-box conformance suite for remote MCP (Streamable HTTP) servers: verifies initialize, tools/list schema validity, tools/call contracts, and error handling. CI-ready, self-tested.

Complete retrieval-augmented generation pipeline with document ingestion, chunking strategies, vector store integration, and evaluation.

Prompt template library, chain-of-thought patterns, few-shot examples, prompt versioning system, and A/B testing framework.

Multi-agent orchestration system with tool calling, memory management, planning loops, and human-in-the-loop patterns.

Setup guides for Pinecone, Weaviate, ChromaDB, and pgvector with indexing strategies, hybrid search, and benchmarking scripts.

Automated evaluation harnesses, custom metrics, human feedback collection, regression testing, and quality monitoring dashboards.

LoRA/QLoRA fine-tuning scripts, dataset preparation tools, training monitoring, model merging, and deployment automation.

Input/output filtering, toxicity detection, PII redaction, hallucination detection, and content policy enforcement scripts.

Token usage tracking, model routing for cost/quality tradeoffs, caching strategies, batch processing, and budget alerting.

Chatbot frameworks with context management, multi-turn conversation handling, intent classification, and escalation workflows.

PDF/document parsing pipelines, OCR integration, table extraction, summarization chains, and structured data extraction.

Unified API for multiple LLM providers, rate limiting, fallback routing, response caching, and usage analytics dashboard.

Production-shaped remote MCP server starter — Streamable HTTP on Cloudflare Workers, stateless + stateful patterns, typed tools, discovery, rate limiting, and Vitest tests.

Add safe commerce to an MCP server or agent API: trusted catalogue reads and server-side price resolution with price-tampering and unaudited-product guards. Buyer authorizes payment; no autonomous charging.

Field guide and runnable examples for designing reliable tool/function schemas for LLM agents (MCP, OpenAI, Anthropic): descriptions, constraints, flat inputs, error contracts, annotations, and idempotency.

Audit-ready security checklists and a STRIDE threat model for remote MCP servers and agent-facing APIs: auth, input validation, rate limiting, secrets, payments, and data-exposure controls.

Dependency-light evaluation harness for agent tools and MCP servers: golden cases, matchers, a runner with latency metrics, and console + JSON reporters for CI regression gating.

Generators that make a product or site discoverable to AI agents: llms.txt, .well-known/ai-plugin.json, an MCP-registry server.json, and valid schema.org Product JSON-LD.