It helps me connect with people at work very easily, and also helps me to get on a call with the people. The best part is the AI integration, where I can use it to make the work easier, and also, the UI is very simple. Also, I can create support cases and incidents using Slack, which also helps me in checking my performance. Also, Slack has the best integration with Jira and other cross-platform tools. It is very reliable, and there is negligable performance issues. Setting up your profile is also very easy

The most standout addition to the Salesforce Headless 360 Platform is its native adoption of the Model Context Protocol (MCP), which completely detaches the backend CRM power from the traditional browser UI. Released at TrailblazerDX, this architectural evolution essentially turns Salesforce into an AI-first operating system, replacing clicks with code and direct agent execution. The new features and capabilities include: Native Model Context Protocol (MCP) Integration Standardised Protocol: Exposes data, workflows, and logic as open-standard MCP tools. No UI Needed: Eliminates the necessity of browser logins to interact with CRM data. 60+ Prebuilt Tools: Includes out-of-the-box tools across Data 360, Tableau, and Slack. IDE Connectivity: Connects your live Salesforce org directly to AI tools like Claude Code and Cursor. Secure-by-Default: Inherits all pre-existing sharing rules and user permissions instantly. Agentforce Vibes 2.0 & Coding Skills Multimodal Support: Integrates advanced models like Claude 3.5 Sonnet and GPT-5 directly into development. Org Awareness: Assesses custom metadata and configuration safely to automate boilerplate code. 30+ Coding Skills: Grants software agents packaged instructions to execute workflows or update code seamlessly. Headless Experience Layer (HXL) Write Once, Render Anywhere: Decouples core logic so it renders natively across Slack, WhatsApp, or voice channels. Custom Frameworks: Builds custom customer-facing frontends using native React, Vue, or Next.js. Omnichannel Alignment: Feeds every external user click back into a real-time Data Cloud customer profile. Enterprise Testing and Governance Tools Testing Center: Fully evaluates autonomous agent logic safely in dedicated sandboxes. Custom Scoring Evals: Provides precise metrics to catch logic gaps before agents deploy to production. Session Tracing: Leverages OpenTelemetry to stream trace data into observability platforms like Splunk or Datadog.

What I like most about Agentforce Sales is how it keeps everything in one place - leads, opportunities, contacts, and activities, so I don’t have to jump between tools. It also automates repetitive tasks, provides a clear view of the sales pipeline, and makes it easier for teams to collaborate while consistently tracking customer interactions. On top of that, the reporting and dashboards help me make better decisions faster.