Cost control7 min read
Embedding Cost Optimization: Cut Vector Costs Without Cutting Recall
How to cut embedding costs: model choice, dimension reduction, caching, and batching — with real numbers for corpus and query spend.
LayerFlow Blog
AI prompt guides: organization, model comparison, and cost control
Practical, SEO-ready guides on organizing AI prompts, comparing LLMs side by side, routing models for cost and quality, BYOK key management, and building AI workspaces.
AI gateway8 min read
LLM Routing Policies: Directing Every Request to the Right Model
LLM routing policies explained: rule-based, cascade, and classifier routing to balance cost, latency, and quality — plus how to set and monitor thresholds.
Cost control9 min read
The LLM Cost Optimization Playbook for 2026
An LLM cost optimization playbook: caching, routing, batching, compression, token hygiene, and monitoring that cuts API spend by 50-80% without cutting quality.
AI gateway7 min read
LLM Routing in Production: Implementation Guide for Dev Teams
Implement LLM routing in production: classification tiers, decision trees, fallbacks, and the metrics that prove routing is working.
Cost control4 min read
Token Cost Optimization Guide for GPT, Claude, and Gemini
Practical token cost optimization: shorter prompts, cheaper models, caching patterns, and routing strategies that cut LLM spend.
