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AI engineering, in practice
What we learn shipping production AI — written for the people deciding whether and how to build it.
Long-form writing on building AI systems that reach production — what drives cost, when RAG beats fine-tuning, and how to evaluate a voice agent vendor. Written to be useful whether or not you hire us.
- What actually drives AI development cost, with no published price
- RAG versus fine-tuning, and the hybrid most production systems use
- The four numbers to demand from any voice agent vendor
2026-07-05
AI Voice Agents: The Complete Guide for Businesses (2026)
What AI voice agents are, how the STT→LLM→TTS pipeline works, the latency numbers that matter, and how to evaluate a vendor before you buy.
2026-07-05
RAG vs Fine-Tuning: Which Does Your Business Need?
RAG grounds AI answers in your live data; fine-tuning changes model behavior. When each wins, what each costs, and the hybrid most businesses actually need.
2026-07-05
How Much Does AI Development Cost in 2026?
What drives the cost of AI voice agents, RAG chatbots and AI-powered SaaS in 2026 — the four factors and the line items nobody quotes you.
All articles
- AI Voice Agents: The Complete Guide for Businesses (2026)2026-07-05
- RAG vs Fine-Tuning: Which Does Your Business Need?2026-07-05
- How Much Does AI Development Cost in 2026?2026-07-05
Frequently asked questions
How much does AI development cost?
It depends on integration surface, accuracy bar and scale, and anyone quoting before understanding those is guessing at the variable that dominates. We write about the drivers rather than publishing a number that would be wrong for most readers.
Should we use RAG or fine-tuning?
RAG for changing information — products, policies, prices. Fine-tuning for consistent behaviour: tone, output format, routing. Most production systems use both, and reaching for fine-tuning to fix a knowledge problem is the common expensive mistake.
How do we evaluate an AI vendor?
Ask for four numbers on any voice claim: end-to-end latency, concurrent capacity, uptime SLA, and the share of interactions completed without a human. A demo that wows on one call tells you nothing about a Monday morning.