Custom AI Agent and Automation Systemvladimir dimitrov
A chatbot replies when you ask it something. An AI agent is different — it receives a goal, breaks it down into steps, uses real tools to complete each step, and delivers a finished result. No babysitting, no copy-pasting outputs, no manual follow-through.
I design and build custom AI agents using OpenAI, n8n, Make, and Bubble — each one built precisely around your workflow. The agent can browse the web, read documents, write content, update databases, send emails, make routing decisions, and deliver polished outputs — all in a single automated run.
Examples of agents I build:
• Lead research agent — finds company info, LinkedIn, and recent news for every new lead, then writes a personalised briefing doc in Notion before your sales call
• Content repurposing agent — takes a blog URL, reads the article, and produces 5 platform-ready pieces (newsletter, LinkedIn post, Twitter thread, Instagram caption, email)
• Weekly reporting agent — pulls data from Stripe, Airtable, and Google Sheets every Monday morning and delivers a formatted business summary to Slack
• Outreach agent — researches prospects, writes personalised cold emails, and adds them to your CRM — automatically
What you get:
• A scoped AI agent designed precisely around your specific workflow — not a generic template
• Multi-step reasoning and tool use: the agent searches, writes, sends and updates autonomously
• Full integration with your data sources, APIs and internal tools
• Optional Bubble or Webflow interface so your team can trigger it with one click
• Complete documentation and a live walkthrough — you stay in full control
Real results: 1 hour of lead research done in 3 minutes. 4 hours of content work per post eliminated. Zero manual weekly reporting. Every project starts with a free scoping call so you know exactly what you are getting before any work begins.
FAQs
A chatbot answers messages. A standard automation runs a fixed sequence of steps. An AI agent reasons through a goal — it decides which tools to use, in what order, and handles unexpected situations dynamically. It can complete complex multi-step tasks that would normally require a human to manage each step.
We start with a free discovery call where you describe the workflow or problem in plain language. I map it into a clear scope document — exactly what the agent does, what triggers it, what tools it uses, and what the output looks like — and you approve it before any work begins.
No. Many agents run entirely in the background with no interface needed. If you want a simple front-end so your team can trigger the agent with a button click or view its outputs in a dashboard, I can build that as part of the project.
Virtually any tool with an API — OpenAI, Google Workspace, Notion, Airtable, Slack, HubSpot, Salesforce, Stripe, LinkedIn, custom internal APIs, and more. If it has an endpoint, the agent can use it.
Yes — every agent I deliver is tested extensively before handover. I also build in error handling, fallback logic, and logging so you can see exactly what the agent did in each run. For critical workflows I recommend a human review step for the first few runs until you have full confidence.
vladimir's other services
Starting at$200
Duration3 days
Tags
N8N
OpenAI
AI Agent Developer
AI Automation
AI Developer
API Integration
Business Automation
Business Workflow Automation
Process Automation
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vladimir dimitrov proSofia, Bulgaria
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Custom AI Agent and Automation Systemvladimir dimitrov
Starting at$200
Duration3 days
Tags
N8N
OpenAI
AI Agent Developer
AI Automation
AI Developer
API Integration
Business Automation
Business Workflow Automation
Process Automation
A chatbot replies when you ask it something. An AI agent is different — it receives a goal, breaks it down into steps, uses real tools to complete each step, and delivers a finished result. No babysitting, no copy-pasting outputs, no manual follow-through.
I design and build custom AI agents using OpenAI, n8n, Make, and Bubble — each one built precisely around your workflow. The agent can browse the web, read documents, write content, update databases, send emails, make routing decisions, and deliver polished outputs — all in a single automated run.
Examples of agents I build:
• Lead research agent — finds company info, LinkedIn, and recent news for every new lead, then writes a personalised briefing doc in Notion before your sales call
• Content repurposing agent — takes a blog URL, reads the article, and produces 5 platform-ready pieces (newsletter, LinkedIn post, Twitter thread, Instagram caption, email)
• Weekly reporting agent — pulls data from Stripe, Airtable, and Google Sheets every Monday morning and delivers a formatted business summary to Slack
• Outreach agent — researches prospects, writes personalised cold emails, and adds them to your CRM — automatically
What you get:
• A scoped AI agent designed precisely around your specific workflow — not a generic template
• Multi-step reasoning and tool use: the agent searches, writes, sends and updates autonomously
• Full integration with your data sources, APIs and internal tools
• Optional Bubble or Webflow interface so your team can trigger it with one click
• Complete documentation and a live walkthrough — you stay in full control
Real results: 1 hour of lead research done in 3 minutes. 4 hours of content work per post eliminated. Zero manual weekly reporting. Every project starts with a free scoping call so you know exactly what you are getting before any work begins.
FAQs
A chatbot answers messages. A standard automation runs a fixed sequence of steps. An AI agent reasons through a goal — it decides which tools to use, in what order, and handles unexpected situations dynamically. It can complete complex multi-step tasks that would normally require a human to manage each step.
We start with a free discovery call where you describe the workflow or problem in plain language. I map it into a clear scope document — exactly what the agent does, what triggers it, what tools it uses, and what the output looks like — and you approve it before any work begins.
No. Many agents run entirely in the background with no interface needed. If you want a simple front-end so your team can trigger the agent with a button click or view its outputs in a dashboard, I can build that as part of the project.
Virtually any tool with an API — OpenAI, Google Workspace, Notion, Airtable, Slack, HubSpot, Salesforce, Stripe, LinkedIn, custom internal APIs, and more. If it has an endpoint, the agent can use it.
Yes — every agent I deliver is tested extensively before handover. I also build in error handling, fallback logic, and logging so you can see exactly what the agent did in each run. For critical workflows I recommend a human review step for the first few runs until you have full confidence.
vladimir's other services
$200