Practical AI architecture planning calc

Question

Practical AI architecture planning tools. Estimate cost, capacity, context usage, vector storage, agent workflow complexity, and governance readiness — before writing a single line of code.

Cost & Capacity Calculators

1. Context Window Calculator
2. LLM Inference Cost Calculator
3. RAG Vector DB Cost Calculator
4. Agent Cost Calculator

Architecture Calculators

1. NL-to-SQL Complexity Calculator: Assess complexity and risk of building an NL-to-SQL system over enterprise data.
2. GPU vs API Break-Even Calculator: Compare the real monthly cost of self-hosted GPU inference vs. hosted API tokens. Find the exact break-even volume where self-hosting becomes cheaper.
3. RAG Chunking Calculator: Estimate chunk counts, overlap waste, vector storage size, and embedding cost for your RAG knowledge base. Get recommended chunk size and overlap for your document type and chunking strategy.

Decision Calculator

1. AI Governance Readiness Checker: Assess whether your AI use case has sufficient governance controls for enterprise deployment. Get a readiness score, risk level, and prioritized list of missing controls.
2. AI Architecture Pattern Selector: Answer a few questions about your use case and get a recommended AI architecture pattern — RAG, GraphRAG, NL-to-SQL, Fine-Tuning, Agentic, or Hybrid — with trade-off analysis.
3. LLM Model Selection Calculator: Choose the right class of language model for your workload — focused on architecture, not fragile model rankings that change every week.