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AI agents & automation, wired into your business.

Agents and workflows that do the repetitive work reliably, with logs, guardrails, and a human in the loop where it counts.

IN ONE ANSWER

Dev4ager builds AI agents and workflow automations for lead handling, support triage, document pipelines, and recurring ops, using Claude and OpenAI APIs with n8n orchestration, connected to your existing tools, with production-grade error handling, logging, and approvals.

What we build

The goal isn't "AI for AI's sake": it's hours back. We find the workflows your team repeats daily, automate the mechanical 80%, and route the judgment calls to a human with full context attached.

  • AI agents for lead qualification, support triage, research, and ops tasks
  • n8n and webhook automations across your stack: CRM, email, Slack, Sheets, databases
  • LLM integrations with prompt design, evaluation, and fallback behavior
  • Document pipelines: extraction, summarization, classification, enrichment
  • Guardrails: human approvals, retries, logging, and alerting when things get weird

How we build it

  1. Map. We audit the workflow, measure the hours it eats, and agree on what "done" means.
  2. Design. Steps, tools, and failure behavior on paper first, including where a human approves.
  3. Build + review. Agents and flows built AI-assisted, reviewed by senior engineers, tested on real cases.
  4. Ship + monitor. Deployed with logging and alerts; tuned against live volume.

Stack we reach for

Claude API OpenAI API n8n Node.js Supabase Slack API Webhooks

A great fit if…

  • Your team spends hours daily on copy-paste work between tools.
  • You want an AI feature inside your product but need it dependable, not demo-ware.
  • You run an agency and want to deliver automations to clients under your brand.

AI automation FAQs

What can an AI agent actually do for my business?

Concretely: qualify and route inbound leads, triage support tickets and draft replies, extract data from documents and invoices, keep systems in sync, monitor inboxes, and produce recurring reports. Agents shine where volume is high and judgment is light. Anything heavier gets a human-approval step.

Which AI models and tools do you use?

Claude and OpenAI APIs, chosen per task after quick benchmarking, orchestrated with n8n and custom Node.js where flows get complex. Everything connects to your stack via APIs and webhooks.

Is our company data safe in these automations?

We design for data minimalism: only the fields a step needs are sent to a model, sensitive values can be redacted, and everything runs in your own accounts and API keys. Major providers don't train on API data by default, and we document exactly what flows where.

What happens when an automation breaks?

Every workflow ships with logging, retries, and alerting, so you find out from a Slack ping, not an angry customer. Automations are production software here: versioned, tested, and covered by optional care plans.

Related

API Integrations Internal Tools Supabase Backends Guide: Our AI workflow

Which workflow is eating your week?

Describe it in two sentences. We'll tell you what's automatable, what it costs, and what it saves.

Automate It