Technology
Engineering decisions illustrated by actual products and projects, rather than a list of fashionable technologies.
Local versus managed-cloud AI
Choose inference and deployment according to the actual system, not a blanket claim that all AI is private or local.
AI extraction versus deterministic checks
Keep interpretation separate from explicit business-rule verdicts.
Agent configuration and asynchronous processing
Structured agent playbooks, background workers and published customer-facing conversations.
Structured data and enterprise integration
Connect natural-language interfaces to inspectable enterprise queries while respecting system-of-record boundaries.
Arabic and English language engineering
Bilingual interfaces and Arabic NLP research require careful attribution and evaluation.
Provenance, review and human approvals
Make generated outputs reviewable and keep explicit approval gates where the workflow requires them.
Talk to us about the problem.
Start with the workflow, your constraints and what a successful implementation should achieve.