xAI Introduces /goal to Turn Grok into an Autonomous AI Agent

ALSO INCLUDED: Using Make.com to build an AI PRD Agent

In Today’s edition:

  1. xAI Launches Goal to Let Grok Complete Tasks Autonomously

  2. PMNA TUTORIAL: How to Build an AI Product Requirements Document (PRD) Agent with Make.com

  3. Docusign Brings AI-Powered Contract Workflows Directly Into Slack

  4. TOOL REVIEW: Poolside Helps Automate Software Engineering Workflows

  5. Exciting Career Opportunities for Product and Project Management Professionals

Reading time: 5 minutes

HEADLINE NEWS

xAI Launches Goal to Let Grok Complete Tasks Autonomously

xAI has launched /goal, a new feature inside Grok Build that allows users to assign long-running tasks to the AI and let it work autonomously toward a specified objective. Instead of requiring constant back-and-forth prompting, the system can execute multi-step workflows independently while displaying a live progress checklist so users can monitor what the agent is doing. The feature is designed for extended task execution, making it easier to handle complex projects that require planning, iteration, and continuous progress over time.

  • xAI introduced /goal for long-running autonomous task execution within Grok Build.

  • The feature enables AI agents to work toward a defined objective with minimal user intervention.

  • Users can follow progress through a live checklist that updates as tasks are completed.

  • /goal is aimed at managing complex, multi-step workflows rather than simple one-off requests.

  • The launch further expands Grok Build’s push toward more capable autonomous AI agents and developer-focused productivity tools.

The introduction of /goal marks another step in xAI’s effort to transform Grok Build from a coding assistant into a more autonomous AI work platform. By allowing AI agents to pursue objectives independently while keeping users informed through transparent progress tracking, xAI is moving closer to the vision of AI that can manage meaningful projects with less direct supervision. Read More 

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PMNA TUTORIAL: How to Build an AI Product Requirements Document (PRD) Agent with Make.com

An AI PRD Agent automates the process of turning raw product ideas into structured Product Requirements Documents. Instead of starting from scratch, Product Managers can use Make.com and AI to generate problem statements, user stories, requirements, and success metrics in a consistent format. This helps speed up product discovery while maintaining documentation quality and alignment across teams.

You’ll learn to:
  • Collect product ideas through forms like Typeform, Google Forms, or Tally

  • Trigger a Make.com workflow whenever a new feature request is submitted

  • Gather supporting context from Airtable, Notion, CRM systems, and customer feedback

  • Use AI to generate problem statements and identify core product opportunities

  • Create user personas based on target users and pain points

  • Generate detailed user stories in “As a / I want / So that” format

  • Define functional requirements for feature behavior and system logic

  • Add non-functional requirements covering performance, security, and scalability

  • Generate acceptance criteria using Given/When/Then structure

  • Define success metrics aligned with business and product goals

  • Identify risks, dependencies, and key assumptions

  • Assemble all sections into a complete PRD document

  • Save the PRD automatically in Google Docs or Notion

  • Notify stakeholders via Slack or email for review

  • Build a PRD knowledge base for future reference and reuse

  • Train the agent using past PRDs to match company standards and tone

  • Add a review layer where AI checks for gaps and inconsistencies

Why it matters:

This agent transforms product ideation into a structured, repeatable documentation system that significantly reduces manual effort for Product Managers. It ensures every feature request is properly analyzed, standardized, and aligned with business objectives before development begins. Ultimately, it improves product clarity, speeds up execution, and strengthens collaboration between product, engineering, and stakeholders.

Docusign Brings AI-Powered Contract Workflows Directly Into Slack

Docusign has launched a new Slack app that brings its Intelligent Agreement Management (IAM) platform directly into Slack conversations. Powered by Docusign’s Iris AI engine and connected through Model Context Protocol (MCP), the app allows teams to access contract intelligence, automate workflows, and take action on agreements without leaving Slack. The move is part of Docusign’s broader push into agentic AI, enabling contracts to become active business workflows rather than static documents. Teams across legal, sales, procurement, finance, and operations can now manage agreements where collaboration already happens.

  • Docusign launched a Slack app that embeds agreement intelligence and contract workflows directly into Slack.

  • The integration uses MCP and the Iris AI engine to enable natural-language interactions with contracts and agreements.

  • Users can access key contract details such as obligations, renewal dates, risks, and terms directly within Slack conversations.

  • Teams can automate approvals, reviews, signatures, and other contract-related actions through agentic workflows.

  • The app reduces app-switching by bringing agreement management into the collaboration platform employees already use every day.

The new Slack integration strengthens Docusign’s vision of turning agreements into intelligent business assets that can actively drive work forward. By combining AI-powered contract insights with Slack’s collaborative environment, the company aims to help organizations move faster, improve visibility into agreements, and automate more of the contract lifecycle. As enterprises increasingly adopt AI agents, Docusign is positioning its IAM platform as a central system for managing and acting on agreement data across the business. Read More

TOOL REVIEW: Poolside Helps Automate Software Engineering Workflows

Poolside is an AI-powered software engineering platform designed to help organizations automate complex coding tasks through intelligent AI agents. Rather than functioning as a simple code-completion assistant, Poolside focuses on autonomous software development, enabling AI to understand large codebases, generate code, run tests, fix issues, and execute multi-step engineering workflows with minimal human intervention. Built with enterprise security and private deployment in mind, it is particularly suited for organizations that need advanced AI capabilities without compromising sensitive code or proprietary data.

  • Autonomous Software Engineering Agents – Uses AI agents that can plan, execute, test, and refine software development tasks independently.

  • Large Codebase Understanding – Analyzes complex repositories and understands relationships across multiple files, systems, and dependencies.

  • Enterprise-Grade Security – Supports private, on-premises, and air-gapped deployments, ensuring code and data remain within organizational control.

  • Multi-Agent Collaboration – Enables specialized AI agents to work together on coding, testing, debugging, and validation tasks.

  • Legacy System Modernization – Assists with code refactoring, framework migrations, technical debt reduction, and software upgrades.

For project managers, Poolside represents a significant step toward faster and more efficient software delivery. By automating repetitive development work, accelerating code reviews, supporting large-scale modernization projects, and reducing engineering bottlenecks, it allows teams to focus on higher-value strategic initiatives. Organizations managing complex software projects can leverage Poolside to improve productivity, shorten development cycles, and increase the overall effectiveness of their engineering operations.

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