AI Workflows & Agents
Agents that research, decide, write, and report — built once, working forever.
Where AI does the actual work, not just the chatting. Lead-qualification agents. Research bots that summarize a 200-page PDF in your voice. Content QA pipelines. Multi-step n8n + Claude orchestrations that feel like having a junior team.
Deliverables.
- Use-case scoping
- Agent architecture
- Prompts + system messages
- Tools + integrations
- Orchestration in n8n / code
- Monitoring + cost tracking
- SOPs for human-in-the-loop
Process.
Scope
Where AI gives 10× leverage vs incremental. We cut the rest.
Prototype
Working prototype in week one. You watch it run.
Productionize
Error handling, cost caps, monitoring, fallbacks.
Hand off
You own the prompts, the flows, the runbooks. I'm available when you need me.
Stack.
FAQ.
How is this different from "ChatGPT"?
Different completely. Agents call tools, hold state, and run unattended on a schedule. ChatGPT is a chat box. These are coworkers.
What do they cost to run?
Most workflows run for $50–$300/mo in API costs. Compared to a junior FTE, that's the math.