Trello Now Connects With ChatGPT, Claude, and Other AI Assistants

BONUS INCLUDED: We included a super prompt to identify the biggest hidden AI opportunities across any company.

In Today’s edition:

  1. Atlassian Brings AI Assistants Directly Into Trello With MCP

  2. PMNA TUTORIAL: Inside Anthropic’s Claude Opus 5 Guide Documentation

  3. Jack Dorsey Launches Buzz to Bring AI Agents Into Workspace Team Chat

  4. TOOL REVIEW: Flowtask Positions as Your Company Brain for AI Agents

  5. Exciting Career Opportunities for Product and Project Management Professionals

Reading time: 5 minutes

HEADLINE NEWS

Atlassian Brings AI Assistants Directly Into Trello With MCP

Atlassian has introduced Trello MCP (Model Context Protocol), allowing users to connect Trello with AI assistants such as ChatGPT, Claude, Cursor, Visual Studio Code, and Gemini CLI. The integration enables AI to securely access Trello boards and perform actions using natural language, making project management more conversational and reducing the need to switch between applications.

  • Trello MCP connects Trello with AI assistants through the open Model Context Protocol (MCP) standard.

  • Users can search boards, manage cards, and organize tasks using natural language prompts.

  • The integration supports popular AI platforms including ChatGPT, Claude, Cursor, VS Code, and Gemini CLI.

  • Users maintain control over access by authorizing specific Trello workspaces and permissions during setup.

  • Trello MCP is designed to streamline workflows by bringing AI-powered task management directly into users' preferred AI tools.

With Trello MCP, Atlassian is making AI assistants active participants in project management rather than simple chat interfaces. By enabling secure, real-time access to Trello data, the company aims to help teams complete work faster, automate routine tasks, and manage projects more efficiently from within their favorite AI applications. Read More 

ONE MONTH FREE OF MAKE.COM!

If you’ve been looking for a smarter way to automate your workflows, now’s the perfect time to try Make. It’s one of the most powerful tools for connecting apps, streamlining tasks, and building systems that run without you.

We have brought you a fine solution. This gives you full access to advanced features to enable you to automate lead gen, content distribution, or internal operations.

For a limited time, you can get 1 month of the Pro plan completely free using my link below:

💡BONUS: PMNA SUPER PROMPT 💡

Find the Biggest AI Opportunities in Any Business

Not sure where AI can make the biggest impact? This prompt analyzes every department, from Marketing and Sales to Finance and Operations, to uncover productivity bottlenecks, repetitive tasks, information flow issues, and the highest-value automation opportunities. It also prioritizes quick wins and delivers everything as an executive report with actionable recommendations.

What this prompt achieves
✔️ Department-by-department AI audit
✔️ Top productivity gaps
✔️ Best processes to automate
✔️ 30-day AI quick wins
✔️ Prioritized implementation roadmap

PROMPT 🤖🤖

 

You are an AI operations consultant. Based on the company information below, analyze each department (Marketing, Sales, Customer Success, HR, Finance, Operations, and Product).

For each team, identify:
* The biggest productivity bottlenecks
* Repetitive tasks consuming the most time
* Areas where information gets stuck
* The highest-impact AI opportunity
* Estimated business impact (High / Medium / Low)
* The best process to automate first

Then summarize:
* The top 5 productivity gaps across the company
* 3 AI quick wins that can be implemented in under 30 days
* The recommended order of implementation

Present the output as a concise executive report with tables.

Company information: [insert here]

*PRO TIP: Replace "Company information:" with details from a company's website, internal documentation, organisation chart, or even notes from a discovery call. The more context you provide, the more specific and actionable the recommendations become.

PMNA TUTORIAL: Inside Anthropic’s Claude Opus 5 Guide Documentation


Anthropic's Prompting Claude Opus 5 document explains how to work effectively with Claude's latest flagship model. Instead of introducing new prompting tricks, it encourages a different mindset: focus on communicating the objective clearly and let the model determine the best way to achieve it.

Clear Principles to Get the Best Out of Claude Opus 5:
  • Describe the destination, not the route – Tell Claude what success looks like instead of outlining every action it should take.

  • Trust the model's reasoning – Claude Opus 5 is designed to plan, adapt, and solve complex problems with less micromanagement.

  • Be clear about expectations – Define constraints, desired output, and quality standards upfront.

  • Use structure when it matters – Specify formats such as reports, tables, code, or summaries when needed.

  • Let Claude refine its work – The model performs well when given opportunities to evaluate and improve its responses.

What's New in Claude Opus 5:
  • Requires less rigid prompting than previous generations.

  • Excels at long-running and multi-step tasks.

  • Makes better decisions independently during complex workflows.

  • Produces more reliable results when objectives are clearly defined.

  • Can balance accuracy, reasoning, and efficiency with minimal guidance.

Best Practices:
  • Start with the goal instead of detailed instructions.

  • Explain any limitations or non-negotiable requirements.

  • Specify the preferred level of detail in the response.

  • Break exceptionally large projects into logical sections.

  • Review outputs and refine prompts iteratively for even better results.

What You Should Consider:

The main takeaway from Anthropic's guidance is that Claude Opus 5 should be treated more like an experienced collaborator than a tool that follows rigid instructions. By communicating objectives, constraints, and expected outcomes clearly, users can take full advantage of the model's reasoning abilities while producing more accurate and useful results.

Jack Dorsey Launches Buzz to Bring AI Agents Into Workspace Team Chat

Jack Dorsey has unveiled Buzz, a new workplace collaboration platform designed to bring human employees and AI agents into the same shared conversations. Positioned as an alternative to Slack and GitHub, Buzz aims to become a central workspace where teams can communicate, coordinate projects, and collaborate with AI assistants as active teammates rather than standalone tools.

  • Buzz enables humans and AI agents to collaborate together in the same chat channels and workflows.

  • The platform combines team messaging, project coordination, and code collaboration in a single workspace.

  • AI agents have their own identities, permissions, and channel memberships, allowing them to complete tasks alongside human teammates.

  • Buzz is open source, built on the decentralized Nostr protocol, and supports AI models such as Claude Code, OpenAI Codex, and Block's own AI tools.

  • Organizations can self-host Buzz for greater control over security and data privacy.

With Buzz, Dorsey is betting that the future of workplace collaboration will revolve around teams where humans and AI agents work side by side. By combining communication, project management, and AI orchestration into one platform, Buzz represents a shift toward AI-native workspaces that could reshape how software teams collaborate. Read More 

TOOL REVIEW: Flowtask Positions as the Company Brain for AI Agents

Flowtask is an AI-powered work orchestration platform that transforms everyday team communication into organized, actionable work. Instead of relying on employees to manually create and assign tasks from emails, Slack conversations, or documents, Flowtask automatically captures requests, identifies responsibilities, and keeps projects moving with AI-driven workflows. By acting as a centralized operational brain for your organization, it helps teams reduce missed tasks, improve accountability, and streamline execution.

  • AI Task Capture – Automatically converts emails, Slack conversations, and other communications into structured tasks with owners, priorities, and deadlines.

  • Smart Assignment – Uses AI to intelligently route work to the most appropriate team members based on context, historical ownership, and workflow patterns.

  • Workflow Automation – Triggers follow-up actions, approvals, notifications, and status updates automatically as work progresses.

  • Company Brain – Builds a centralized knowledge base of projects, decisions, processes, and team responsibilities, giving AI agents organizational context beyond individual tasks.

  • Execution Tracking – Monitors task progress, identifies blockers, and keeps teams aligned to ensure work moves from request to completion.

Flowtask is particularly valuable for project managers because it removes much of the manual work involved in capturing, assigning, and tracking tasks. By automatically transforming conversations into actionable work while providing real-time visibility into ownership and progress, it allows project managers to spend less time on administrative coordination and more time driving project outcomes, resolving risks, and keeping teams focused on delivering results.

Exciting Career Opportunities for Product and Project Management Professionals

THAT’S A WRAP

Thank you for being a part of our growing community. We look forward to sharing valuable content, industry trends, and strategies that will help you navigate and lead in this dynamic space.

Stay tuned for more to come!

Best,
Ricardo Govindasamy
Founder, PM Network Alliance