Practical thinking on AI assistants, PMS, automation, and operating platforms for growing businesses.
Design omnichannel customer context across Facebook, Zalo, and CRM without incorrect identity merges, data exposure, or forcing customers to repeat themselves.
Separate technical success from business success and design workflows with outcome assertions, reconciliation, audit trails, and recovery.
Design a quotation follow-up process with ownership, SLAs, behavioral signals, and stop conditions so Sales protects opportunities without pressuring customers.
Design an automated process that collects multiple data sources, validates quality, calculates KPIs, produces management reports, and distributes them securely each morning.
Design an automated workflow that captures form leads, assigns sales owners, enforces response SLAs, sends reminders, escalates overdue leads, and prevents duplicates.
A production diagnostic playbook using traces, replay, and one-variable tests to separate model, prompt, data, API, and orchestration failures.
There is no universal optimal tool count for an AI agent. Learn how to control candidate sets, remove overlap, and evaluate selection accuracy before production.
A practical production guardrail framework for autonomous AI agents covering scope, policy, authorization, idempotency, budgets, observability, kill switches, and progressive rollout.
Design a secure pipeline for AI to analyze PDF, Word, and image email attachments without executing malware, obeying prompt injection, or autonomously causing side effects.
