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Technical insights on LLM routing, AI evaluation, and scaling AI from prototype to production.
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Unified LLM API: Introducing divyam-llm-interop for LLM API Translation
Every LLM provider speaks a slightly different dialect. divyam-llm-interop is our open-source unified LLM API (Apache 2.0): an LLM API translation layer that lets you switch models across providers without rewriting your integration.
EngineeringOpen Source LLMs Just Caught Up: Why Your LLM Router Needs to Switch in a Day
Lindy's founder said inference is now their #1 cost line, more than payroll. Open source LLMs just caught up on capability at 10-17x lower cost. The moat is no longer model choice — it's how fast your LLM router can switch.
StrategyWhat Divyam.AI Compounds for Your Business Over Time
What Divyam.AI compounds for your business over time: the measurable upside on cost and quality, and the strategic advantages of continuously managing your inferencing stack.
StrategySix Yes/No Questions That Reveal Your GenAI Product Maturity
A quick scorecard for engineering and product leaders. Six questions that reveal whether your GenAI product will hold up in production or quietly decay.
StrategyThe Six Capabilities Every Long-Running GenAI Product Needs
Most GenAI projects succeed in the demo and quietly fail in production. Here is the six-step quality flywheel that separates products that compound over time from ones that decay.
EngineeringHow to Reduce LLM Costs: The Hidden Cost of LLMflation and Model Inertia
LLM inference costs are falling 10x per year, but your LLM spend is growing. We modeled three approaches to reducing LLM costs on a $60K/month budget with 5% monthly growth. The gap between manual switching and per-prompt optimization is $333,000 per year.
EngineeringLLM Cost Optimization and AI Model Switching: The Model Inertia Problem
New frontier LLMs arrive every few weeks. Most production systems haven't switched models in months. That gap — Model Inertia — is the biggest blocker to LLM cost optimization, and it's getting expensive.
EngineeringTaking Your LLM Application to Production: What No One Warns You About
Building the first version of an LLM application is deceptively easy. Getting it to production — and keeping it there — is not. This post explores what it really takes.
ResearchLLM Router Comparison: Divyam.AI vs Microsoft Model Router vs NVIDIA LLM Router
An LLM router comparison on MMLU-Pro: for comparable accuracy, Divyam.AI's AI model router achieved nearly 3x greater cost savings than Microsoft Model Router and 18x better accuracy than NVIDIA LLM Router. Here's how.
StrategyAI Strategy Focused on Maximizing Returns on Your GenAI Investments
GenAI adoption is riddled with challenges: vendor lock-in, hallucinations, and spiraling costs. A strategic approach to model selection, evaluation, and routing can maximize your returns.
ResearchLLM Routing in Practice: Surfing the LLM Waves with Intelligent Model Routing
New frontier LLMs arrive constantly. Should you migrate every time? Intelligent LLM routing makes it automatic — Divyam.AI's LLM router slashes a $100 inference bill to $42.40 with no quality loss on 60% of conversations.