BlogArtificial intelligence
AI agents that actually ship to production
From demo to real channel: architecture, guardrails, and metrics for agents that handle leads without breaking sales flow.
Beyond a pretty prompt
A production agent isn’t a loose chat. It’s a system with business memory, tools (APIs, CRM, calendars), and clear limits on what it can and cannot do.
I combine models like OpenAI, Claude, and Gemini with orchestration (n8n/Make or code) so the agent can:
- qualify leads
- answer FAQs with company context
- create CRM tasks or tickets
- escalate to a human when uncertainty is high
What every delivery protects
- Business brief — goal, tone, languages, hours
- Scoped tools — only the APIs you need
- Observability — logs, sample chats, handoff rate
- Weekly iteration — prompts and flows tuned with real data
If your team burns hours on WhatsApp or inbox triage, a well-integrated agent is often the first measurable win.