Google Unveils Gemini 3.5 for the Next Era of AI Agents

In Today’s edition:

1. Google Introduces Gemini 3.5 With Major Upgrades for Coding and AI Tasks

2. PMNA TUTORIAL: AI-Powered Support Ticket Triage & Routing System Using Make.com

3. PRIVATE EVENT: Deploy Custom Business Operations Tools with Make and Claude AI

4. Atlassian Connects Jira and Cursor for AI-Powered Development

5. TOOL REVIEW: Slideshot Helps SaaS Companies Generate AI-Powered Product Walkthroughs

6. Exciting Career Opportunities for Product and Project Management Professionals

Reading time: 5 minutes

HEADLINE NEWS

Google Introduces Gemini 3.5 With Major Upgrades for Coding and AI Tasks

Google Gemini 3.5 announcement introduces Google’s newest generation of AI models focused on “frontier intelligence with action.” The update was revealed during Google I/O 2026 and positions Gemini 3.5 as a major step toward more agentic AI systems that can complete complex workflows, coding tasks, and multimodal interactions more efficiently.

• Gemini 3.5 Flash becomes the new default Gemini model, emphasizing faster performance and improved agentic capabilities.

• Google says Gemini 3.5 is better at handling multi-step workflows, coding tasks, and interactive UI generation.

• The models are deeply integrated into Google products, including Search AI Mode, the Gemini app, AI Studio, and Android Studio.

• Google also introduced Gemini Omni, a multimodal AI system capable of generating content from text, images, audio, and video inputs.

• The announcement highlights Google’s broader push toward AI agents through tools like Antigravity and Gemini Spark.

The Gemini 3.5 launch signals Google’s shift from AI assistants toward AI systems that can actively perform tasks and automate workflows. With faster reasoning, stronger coding abilities, and broader multimodal support, Google is positioning Gemini as a central layer across its consumer and enterprise ecosystem. Read More 

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PMNA TUTORIAL: How to Create an AI-Powered Support Ticket Triage & Routing System Using Make.com

As products scale, support teams are often overwhelmed by tickets coming from multiple channels, making it difficult to prioritize and route issues efficiently. Without a structured system, critical problems can be delayed or sent to the wrong teams, slowing down resolution times. By using Make.com and AI, you can automate support ticket triage—classifying, prioritizing, and routing tickets instantly while improving response quality.

You’ll learn to:

• Define support ticket categories and priority levels

• Create a centralized support operations database

• Set up a Make.com scenario to capture tickets from all channels

• Clean and normalize incoming ticket data

• Use AI to classify tickets by category, urgency, and team ownership

• Generate suggested responses using AI

• Route tickets automatically to the correct team based on rules

• Escalate critical incidents immediately via alerts

• Store structured ticket data in a support dashboard

• Track recurring issues and SLA performance over time

Why it matters:

Automating support ticket triage transforms chaotic incoming requests into a structured and efficient workflow. Teams can respond faster, prioritize better, and reduce manual sorting work while improving customer experience. For product and support teams, this system also provides valuable insights into recurring user issues and product friction points.

FULL TUTORIAL HERE

PRIVATE EVENT: Deploy Custom Business Operations Tools with Make and Claude AI

This is a private, invite-only business automation meetup focused on helping companies build internal operational tools using Make.com and Claude AI. The event is not open to the general public and is specifically designed for business owners, founders, and decision-makers who want to streamline operations using AI-driven workflows. It combines live demonstrations, practical build sessions, and high-level discussions around automation strategy.

Event Details:

• Host / Speaker: Ricardo Govindasamy

• Event Type: Private, invite-only workshop (not publicly accessible)

• Target Audience: Business owners, founders, operators, and senior decision-makers looking to improve internal systems and automation

• Topic Focus: Building custom business operations tools using Make.com and Claude AI for workflow automation and internal process optimisation

• Format, Location & Time: In-person event in Raleigh; starts at 5:30 PM with networking, followed by live demos, hands-on building sessions, and Q&A, ending around 7:30 PM (exact venue shared privately upon approval)

Why it matters:

This event is designed for people who are actively responsible for how their businesses operate. not just exploring AI, but implementing it. It gives attendees a practical look at how modern teams are replacing manual workflows with automated, AI-powered systems that scale. The focus is on real business application rather than theory, making it highly relevant for leaders looking to improve efficiency and reduce operational overhead.

If you meet the criteria as a business owner or decision-maker and would like to attend, email me here directly, and I will send you the full event details and access information.

Atlassian Connects Jira and Cursor for AI-Powered Development

Atlassian has announced a major new integration called “Cursor in Jira,” allowing engineering teams to assign development tasks directly from Jira to AI coding agents inside Cursor. The update is designed to reduce context switching and help teams move faster by connecting project planning, documentation, and coding workflows into a single AI-native system.

• Teams can now assign Jira work items directly to Cursor agents to automatically begin development tasks.

• Cursor agents can update Jira tickets, open pull requests, and notify teams when reviews or inputs are needed.

• Atlassian says the integration uses its Teamwork Graph to provide richer project context to AI agents.

• Internal testing showed AI agents using Teamwork Graph achieved better answer quality while using fewer tokens.

• The feature is now available for all paid Jira customers through the Atlassian Marketplace.

The Cursor in Jira launch highlights Atlassian’s growing focus on AI-powered software development and agentic workflows. By combining planning, documentation, and coding into a connected system, Atlassian aims to help engineering teams collaborate with AI more efficiently and accelerate software delivery. Read More

TOOL REVIEW: Slideshot Helps SaaS Companies Generate AI-Powered Product Walkthroughs

Slideshot AI is an AI-powered product demo platform that automatically generates polished walkthrough videos for software products and web applications. Instead of manually recording screens, editing clips, and redoing demos after every UI update, Slideshot uses AI browser agents to navigate the product itself, capture workflows, and render professional demo videos in minutes. The platform is designed to help fast-moving teams create scalable, repeatable product videos without traditional production work.

• AI-Powered Browser Automation — Slideshot’s AI agent independently navigates apps, clicks through workflows, fills forms, and records product demonstrations automatically.

• Instant Demo Video Generation — Users can describe a workflow in plain language and receive a launch-ready MP4 walkthrough without manual recording or editing.

• Authenticated Product Recording — The platform supports logged-in product environments, making it useful for SaaS dashboards, onboarding flows, and internal software walkthroughs.

• API-Driven Infrastructure — Slideshot offers developer-focused API capabilities that allow companies to automate demo creation directly within product or release workflows.

• Automatic Video Enhancement — The tool applies cinematic zooms, cursor movement, framing, and visual polish automatically to create professional-looking demos with minimal effort.

For project managers, Slideshot is especially relevant because it dramatically reduces the time and coordination required to create product walkthroughs, onboarding materials, and release demos. Instead of depending on designers, editors, or repeated recording sessions after every product update, teams can generate scalable visual documentation almost instantly. This makes it easier to communicate new features, align stakeholders, improve onboarding, and maintain up-to-date product education as projects evolve rapidly.

TOOL LINK

Exciting Career Opportunities for Product and Project Management Professionals

• Website Product Owner @ Ryder System

  📍 Raleigh, NC.

• Lead Scrum Master - Chief Administrative Office @ Wells Fargo

  📍 Charlotte, NC.

• Digital Project Manager @ Novant Health

  📍 Charlotte, NC.

• Senior Product Owner @ GSK

  📍 Zebulon, NC.

• Project Manager - Healthcare Architecture @ HDR

  📍 Raleigh, NC.

THAT’S A WRAP