A chatbot matches your input against predefined responses. An AI agent receives a goal and works toward it autonomously: accesses live data, calls external tools, makes sequential decisions, and reports outcomes. The difference is between a manual responder and a digital worker running 24/7.
Monitor data sources (leads, orders, performance) and send alerts when something needs attention. Update CRM automatically from conversations and inquiries. Qualify and filter leads, send personalised messages, schedule appointments. Draft marketing content based on customer data. Run SEO audits, technical diagnostics, and business reports.
An agent that does not connect to your business stack is an isolated toy. I build the integrations: Airtable, Monday.com, Supabase, Google Calendar, WhatsApp, Telegram, Slack, Notion, Gmail, Sheets, and more. The agent works with your actual data — not demo content.
The agent is built for the Israeli market: Hebrew, English, Israeli phone number formats, DD/MM/YYYY date format, Israeli payment gateways, and Israeli institutional context. You do not need to brief it on local context — it already knows it.
DMonitor is the AI agent I built to run my own portfolio. 28 tools: daily lead monitoring, pipeline status, SEO analysis, site performance, server health checks, roadmap management, reminder creation, article editing. It sends an automated morning briefing every day with KPIs. Runs on Telegram. If I built it for myself, I can build a focused version for your business.
The agent connects to Google Search Console, Google Analytics, Airtable CRM, Sentry, UptimeRobot, and Cloudflare. Every morning — a full status report: how many leads arrived, pipeline status, which SEO queries moved up or down, what site speed looked like yesterday. No manual work.
Unlike rigid automations, the agent responds to free-form instructions: "Add this to the roadmap", "What was the CTR on this page last week?", "Send a proposal to [name]". No interface to learn — just write what you need.
An agent that manages appointment scheduling, sends WhatsApp reminders, updates clients on delays, and routes new leads to direct booking. When a lead arrives — the agent sends an opening message, asks qualifying questions, and offers the nearest available slot.
An agent that monitors WooCommerce inventory levels, sends an alert when a product drops below threshold, and triggers an automatic reorder. Plus: an agent that identifies abandoned carts and sends a personalised message within an hour — not a generic email but a message referencing the specific product.
An agent that receives incoming inquiries, runs an initial qualification conversation (budget, timeline, project type), saves the data to CRM, and flags hot leads for priority handling. Your first hour with any lead is spent after you already have the context.
What is the difference between an AI agent and a chatbot?
A chatbot responds to questions based on fixed rules. An AI agent receives a goal and works toward it autonomously: accesses data, calls tools, makes decisions, and reports results. The difference is between a manual responder and a digital worker that runs processes.
What tools can the agent integrate with?
Any system with an API: Airtable, Monday.com, Supabase, Google Calendar, WhatsApp, Telegram, Slack, Notion, Gmail, WooCommerce, Shopify, Salesforce, HubSpot, and more. If the tool has an API, the agent can work with it.
How long does it take to build an agent?
A focused agent with 3-5 capabilities (for example: lead monitoring + CRM update + message sending) takes 2-4 weeks. A full agent with 15+ tools like DMonitor takes 6-12 weeks, depending on the number of data sources and integrations.
Does the agent require ongoing maintenance?
Agents need updates when something changes: an external API that was updated, a data structure that changed, a new tool to add. I offer a monthly retainer for monitoring and updates, or delivery with full documentation for self-management.
Is the agent available on WhatsApp, Telegram, or web?
Yes. The agent can be deployed on any interface: Telegram, WhatsApp (via gateway providers), Web Chat, Slack, SMS. DMonitor itself runs on Telegram — an interface that provides access from any device.
How much does building a custom AI agent cost?
Focused agent (3-5 capabilities): from ₪8,500 + VAT. Full agent with 10+ tools and complex integrations: from ₪18,000 + VAT. Monthly maintenance retainer: from ₪1,500 + VAT. Get a tailored estimate via the intake form.
Tell me about one process that weighs on you every week. I will tell you whether an AI agent can run it, how long it will take, and what to expect.
Talk to me15 minutes. I'll look at what you have, tell you what's broken, and give you a clear path forward.
15 minutes. No sales script.