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Most businesses don’t need another basic chatbot.
They need a custom AI agent that can actually work inside their business.
A basic chatbot can answer simple questions.
But a custom AI agent can understand your business context, use your documents, connect with your tools, and help complete real workflow tasks.
For example, an AI agent can:
Search your FAQs, docs, or knowledge base
Qualify leads from forms or chat
Summarize customer requests
Draft follow-up emails
Update CRM records
Check calendar availability
Connect with APIs and internal tools
Support your team with repetitive operational work
This is where AI becomes more useful for SaaS teams, service businesses, agencies, and startups.
Not just a chat window.
Not just a prompt.
A real workflow assistant connected to your business systems.
I build custom AI agents for business workflows using AI, APIs, databases, dashboards, and integrations.
Service: Custom AI Agent Development for Business Workflows
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Hot take after talking with @Alli Minetti Labs from Contra Labs:
The future isn’t “AI designers.”
It’s designers with AI‑powered workflows that:
- Speed up the tedious 10px moves
- Keep humans in the driver’s seat
- Turn ideation into a superpower across web, brand, and video
New UnContrad episode with Alli is is now live.
watch here
love this!
It's so great 😍
Think & Act AI Agent Framework — Dual-Stage Reasoning Pipeline
Most AI automations react. This one thinks first, then acts.
Built an n8n workflow using a two-stage AI agent architecture a "Think" agent and an "Act" agent running in sequence, each powered by OpenRouter with structured output parsers enforcing clean JSON at every step. A configuration node sets the full context upfront, the Think agent reasons through the task using memory and tool access, its output gets parsed and passed to the Act agent which executes based on that reasoning, and the final structured result is returned ready for the next step in any connected workflow.
The result is a reusable, modular AI reasoning layer that can be dropped into any automation stack where decisions need to be made intelligently before actions are taken.
Stack: n8n · OpenRouter · AI Agents · Structured Output Parser · JSON Schema · Webhooks
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