Frequently asked questions

AI agents, n8n automations, RAG and LLM apps, data pipelines (BigQuery / Airflow), and cloud/MLOps on GCP and Vertex AI. Sweet spot is production-grade systems that need reliability, cost control, and measurable business impact.

Three shapes: Sprint (1–2 weeks focused delivery), Build (4–12 weeks end-to-end), and Retainer (monthly ongoing support). Every engagement starts with a free 30-minute discovery call.

Sprint engagements start around $2k, Builds vary based on scope and are quoted after discovery, and Retainers start at a fixed monthly rate. Pricing is confirmed in writing before any work starts.

For Sprint work, usually within 1–2 weeks. Larger Builds are scheduled 2–4 weeks out depending on capacity.

Yes — most clients are remote (US, EU, GCC). I overlap 4–6 hours daily with EU and US East, and 8+ hours with GCC.

You do. All source, prompts, workflows, and infrastructure-as-code are handed over. I only retain the right to reference the project publicly if you approve a case study.

Yes, happy to sign a mutual NDA before deep discovery. A standard one-page mutual NDA is fine.

Every project ships with tests, monitoring, cost tracking, and documentation. For AI systems, we track eval metrics (latency, accuracy, cost per request) from day one.

Python / TypeScript, n8n, OpenAI / Anthropic / Gemini, LangChain / LlamaIndex, Supabase / Postgres, BigQuery, Google Cloud (Vertex AI, Cloud Run, Cloud Functions), Next.js, and Power BI.

Book a free 30-minute discovery call via the contact page, or send a project brief. I reply within 24 hours (Cairo, GMT+2).