AI
Applied AI, written by a team that ships it in production. We build the hard parts most agencies avoid — custom models, retrieval-augmented generation, agentic systems, and speech/ASR — then wrap a real product around them. These guides cut through the hype: what actually works, what it costs, and how to keep AI features accurate, fast, and cheap once real users depend on them.
9 articles
How Much Does an AI WhatsApp Sales Agent Really Cost?
A cost breakdown for AI WhatsApp sales agents: platform fees, LLM tokens, integration work, and typical MVP-to-production price ranges for founders.
Jul 10, 2026 · 5 min
How Much Does Custom Arabic Speech Recognition Cost?
Generic ASR mishears Gulf Arabic and clinical terms. Here's what a custom speech recognition system actually costs to build, by scope and accuracy target.
Jul 10, 2026 · 5 min
AI agents vs workflows
Autonomous agents are exciting, but deterministic workflows often win. A clear framework for choosing between them for your AI feature.
Jul 8, 2026 · 5 min
Shipping an AI MVP in 30 days
A week-by-week plan to take an AI product idea to a working MVP in a month — scope discipline, the right shortcuts, and what to defer.
Jul 8, 2026 · 5 min
How to build an AI chatbot that's actually useful
Beyond the demo: a build guide for production AI chatbots — grounding, guardrails, context handling, and the evaluation loop that keeps quality high.
Jul 8, 2026 · 9 min
How to integrate AI into your product
A grounded guide to adding real AI value to an existing product — where LLMs help, where they don't, and how to ship features users actually keep.
Jul 8, 2026 · 8 min
LLM cost optimization for real products
Practical tactics to cut LLM API costs — model routing, caching, prompt compression, and batching — without sacrificing the quality users expect.
Jul 8, 2026 · 5 min
RAG explained for founders
Retrieval-augmented generation in plain language — what it is, when it beats fine-tuning, and how to build a RAG feature that stays accurate and cheap.
Jul 8, 2026 · 5 min
Vector databases explained
Embeddings, similarity search, and when you need a dedicated vector database versus pgvector — the foundation of RAG and AI-powered search.
Jul 8, 2026 · 5 min