Blog
Practical insights on generative AI implementation, RAG architectures, AI agents, and the realities of shipping AI to production.
Most RAG tutorials skip the hard parts: chunking strategy, hybrid search, re-ranking, and handling edge cases. Here’s what we’ve learned from deploying RAG for 10+ enterprise clients.
Everyone’s building AI agents. But most business use cases don’t need autonomous agents — they need reliable automation with good guardrails. When to use agents vs. simple LLM calls.
We break down the actual ticket deflection rates, cost savings, and CSAT impact from five AI support agent deployments across e-commerce, SaaS, and financial services.
Model routing, caching, prompt optimization, and knowing when to use smaller models. Practical techniques we use to keep AI costs sustainable at scale.
A look at how Turkish companies are adopting generative AI — the sectors leading, common blockers, and what separates successful implementations from failed ones.