// software service
AI Automation Development
For teams adding AI drafting, extraction, routing, chat, or workflow automation to real business software. The goal is to add AI where it reduces manual work while keeping human review, data boundaries, and product reliability intact. The work is practical: product shape, database, auth, payments, mobile, SEO, and deployment all have to fit together.
// what this solves
Built for real product work, not demo software
This site includes AI blog drafting and product work using Vercel AI SDK, Anthropic Claude, and structured workflows. The search intent here is not just hiring a coder. It is finding someone who can connect product, revenue, operations, and engineering decisions.
// common use cases
- ▸AI content drafting
- ▸lead qualification
- ▸document summarization
- ▸support workflow automation
- ▸internal assistant tools
// build process
How the work is scoped
identify the manual workflow first
set clear inputs, outputs, review steps, and failure states
store prompts, metadata, and generated artifacts where useful
measure whether the automation saves time without hurting quality
// stack
Technologies used where they fit
// faq
Questions before starting
+Do you build AI features into existing products?
Yes. AI features should be added where they improve a specific workflow, not as a disconnected chatbot.
+Can generated content require approval?
Yes. Human review, draft states, audit trails, and publishing controls can be built into the workflow.
+Which AI provider do you use?
It depends on the job, but the current stack includes the Vercel AI SDK, Anthropic Claude, and OpenAI-compatible APIs.