3 Custom AI Agents Every Marketer Needs to Build (No-Code Tutorial)

Hosted by Sanjay Saini | Guest: Mariia Domska | July 30, 2026 | 46m

Learn how non-technical professionals can build custom AI agents directly within Jira to track competitor trends, enforce time-logging compliance, and analyze incoming support tickets without writing a single line of code.

Session Questions

  1. Could you give a brief intro about your professional background?
  2. What was the first AI agent you built to track trends?
  3. Can you schedule these AI agents to run automatically?
  4. How do you integrate AI reports into your content workflow?
  5. How does the Jira time log reminder agent work?
  6. How does the no-code AI Apps Builder for Jira work?
  7. Can non-technical users build technical coding agents?
  8. What is the pricing model for the AI Apps Builder tool?

The Core Argument

Guided by host Sanjay Saini, Product Marketer Mariia Domska demonstrated that building highly functional AI agents is no longer restricted to software developers. By leveraging no-code tools like the AI Apps Builder for Jira, business users can automate hours of repetitive administrative and marketing tasks. Mariia showcased how defining clear, plain-language prompts allows marketers and managers to instantly generate custom agents that scan competitor trends, enforce team compliance, and synthesize customer feedback—proving that AI accessibility has shifted from the engineering department directly to the business user.

“I didn't use a single line of code. I just described my idea, and the AI builder built it for me in less than 30 minutes.” Mariia Domska (38:20)

Detailed Answers

1. Could you give a brief intro about your professional background?

Mariia Domska is a Product Marketer at SaaSJet, based in Ukraine. Operating heavily within the Atlassian environment, she specializes in translating complex product features into user-facing marketing content. Despite having zero technical or coding background, she became deeply involved in AI orchestration by utilizing plain-text prompt builders to automate her daily marketing and operational workflows.

2. What was the first AI agent you built to track trends?

A massive part of Mariia's job is manually monitoring competitors and tracking market shifts. To automate this, she built the "Atlassian Trend Tracker." This custom agent autonomously scans official blogs, partner portals, LinkedIn, and community sites to generate a structured report. It highlights rising SEO keywords, shifts in competitor tone of voice, and the specific products generating the most market attention.

3. Can you schedule these AI agents to run automatically?

Yes. Mariia explained that while she frequently runs the agent manually before drafting a new article, the agent can be scheduled to run autonomously. For example, she can configure it to scan the market every week, providing a "week-over-week" comparative analysis sent directly to her without any manual triggering.

4. How do you integrate AI reports into your content workflow?

Once the Trend Tracker agent identifies new market keywords or shifts in communication strategies, Mariia uses those insights to inform her content roadmap. She then collaborates with Claude to draft initial article sections based on the agent's findings, before heavily editing the final piece to inject her own marketing expertise before publishing on platforms like LinkedIn, Medium, and Dev.to.

5. How does the Jira time log reminder agent work?

To solve a common operational problem—developers logging time in Jira but skipping the required work descriptions—Mariia built a "Time Log Reminder" agent. The agent scans the Jira project weekly, identifies completed issues missing documentation, and automatically comments on the ticket, prompting the assignee to update it. This creates a reliable paper trail for managers and ensures SLA compliance without requiring manual micromanagement.

6. How does the no-code AI Apps Builder for Jira work?

The AI Apps Builder is a prompt-to-app generator. Mariia simply types a plain-language description of what she wants the app to do. The AI then automatically generates a software specification. Once the user approves the spec, the AI writes the underlying code, configures the third-party API integrations (like Gmail or Slack), and prepares the app for single-click deployment into the Jira instance—all in under 30 minutes.

7. Can non-technical users build technical coding agents?

While Mariia uses the tool primarily for marketing and operational workflows, she noted that 70% of the platform's users are actually Jira Admins and technical personnel. Developers use the no-code builder not because they *can't* code, but because it allows them to instantly skip the tedious boilerplate setup required to integrate apps into the Atlassian marketplace.

8. What is the pricing model for the AI Apps Builder tool?

Mariia explained that the tool is currently free to install, either directly in Jira or via a standalone web version (for companies with strict internal Jira restrictions). New users are granted 50 free credits—enough to build roughly three full custom apps or agents—with opportunities to earn more credits by providing feedback and participating in demo sessions.

You don't need to be a software developer to build high-impact AI tools. Learn how to architect prompts, govern agentic workflows, and automate your delivery pipeline in our Artificial Intelligence training program.

Mariia Domska

About the Guest

Mariia Domska is a Product Marketer at SaaSJet. Despite having no formal technical or coding background, she specializes in orchestrating practical AI integrations, leveraging no-code platforms to build custom autonomous agents that streamline marketing workflows, competitor tracking, and enterprise administration.

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Sanjay Saini

About the Host

Sanjay Saini is the founder of AgileWoW and a leading Agile transformation expert. He hosts the AgileWoW live session series, bringing in industry experts to discuss the practical realities of modern framework adoption and the future of work.

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