Explore advanced Agentforce Vibes features beyond prompting, including deep planning, rule orchestration, workflows, skills, and abilities.
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Featured Sessions
Scale Trusted AI Adoption with Salesforce and AWS
Learn how to deploy Anthropic models via Amazon Bedrock in Agentforce’s secure environment, enabling compliant AI adoption at scale, particularly for regulated industries.
Prompt to Agent with Google Cloud: Gemini 3 in Agentforce
Explore the full agent development stack using Gemini 3 as the reasoning backbone, prompt builder for Agentforce agents. See Gemini 3 Flash’s fast, high-accuracy inference to build adaptable agents.
More Output, Same Control: Embracing AI-Driven Change
AI will multiply your rate of change. As the bottleneck shifts from writing code to governance, learn how to stay in control of accelerated delivery and focus on the work that needs you.
Building AI-Ready DevOps: L-Founders' Journey to Agentforce
See how L-founders leverage Copado to build an intelligent DevOps foundation, enabling them to deploy Agentforce agents seamlessly with enhanced dependency analysis and advanced debugging capabilities
Optimizing Salesforce’s Own Sales Cloud with Hubbl
See how Salesforce uses Hubbl to accelerate planning. Learn how the internal product team aligns complex requirements to architecture to de-risk and optimize global Sales Cloud updates.
Architecture: AI, Data, Lakehouse, Zero Copy
Modern Data Architecture for AI. Learn from real Enterprise customer stories: Zero Copy to Databricks & Snowflake, real-time lakehouse from scale to latency, amalgamation of customer data, and more.
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Apply Agentforce Vibes’ Advanced Features
, Principal Developer Advocate, Salesforce
Role: Developer
Products: Agentforce 360 Platform, Agentforce
Topic: Agentic AI
Session Level: Advanced
Session Type: Theater
- Wednesday, Apr 1512:00 PM - 12:20 PM PDT(7:00 PM - 7:20 PM GMT)Theater 3 (Level 2)
- Thursday, Apr 1611:00 AM - 11:20 AM PDT(6:00 PM - 6:20 PM GMT)Theater 5 (Level 3)
Session Summary: This session focused on the extensive capabilities of Agent Force Vibes, a developer tool leveraging large language models (LLMs) to enhance generative AI functionalities. Attendees were introduced to the differences between Pro and Core models, with Pro models offering higher efficiency and faster processing, particularly for complex tasks. The session highlighted the Model Context Protocol (MCP), which allows seamless integration of third-party tools and services, and explored features such as plan and act modes, workflows, and skills that streamline development processes. Additionally, multi-modal prompts were showcased, enabling the use of both text and files like PDFs, images, and CSVs to rapidly create data models, user interfaces, and other complex outputs, significantly improving productivity and collaboration within Salesforce's ecosystem.
Key Takeaways:
• Agentforce Vibes supports advanced functionality like plan and act modes, allowing users to progressively refine tasks before execution, ensuring precision and efficiency.
• The integration of Model Context Protocol (MCP) enables developers to connect with Salesforce and third-party tools, reducing context switching and enhancing workflow automation within the same IDE.
• Multi-modal prompts, such as combining text with structured or unstructured files, empower developers to create complex outputs, like relational data models or UI prototypes, in a fraction of the time.
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