Meta's AI Agent Platform Transformation — Sierra, Avocado, and Big Brain

Overview

Meta is attempting a major pivot from a social media company to an AI agent platform company. This strategy, which accelerated from late 2025, can be summarized in three key terms: Sierra for external agent partnerships, Avocado as the internal codename for the next-generation frontier model, and Big Brain representing advanced reasoning capabilities.

In this article, we analyze how Meta’s AI strategy is evolving and what it means for developers and businesses.

From Llama to Avocado — A Strategic Pivot

From Open Source to Proprietary

Meta had long positioned itself as a leader in open-source AI through its Llama model series. In 2024, Mark Zuckerberg predicted that Llama would become “the most advanced in the industry.”

However, the April 2025 release of Llama 4 fell short of developer expectations, triggering the strategic pivot. In July 2025, Zuckerberg stated, “We’ll need to be careful about what we choose to open source,” signaling a change in direction.

Avocado — The Next-Generation Frontier Model

Avocado is the codename for Meta’s next-generation frontier AI model. According to CNBC reporting, this model has the following characteristics:

• Proprietary model: Unlike previous Llama releases, weights may not be publicly available
• Developed at TBD Lab: An elite research organization led by Alexandr Wang, formerly of Scale AI
• Planned for Q1 2026 release: Intensifying competition with OpenAI, Google, and Anthropic

graph LR
    Llama["Llama Series<br/>(Open Source)"] -->|Strategic Pivot| Avocado["Avocado<br/>(Proprietary)"]
    Avocado --> TBD["TBD Lab<br/>(Alexandr Wang)"]
    Avocado --> MSL["Meta Superintelligence Labs"]
    TBD --> BigBrain["Big Brain<br/>(Reasoning Engine)"]

Sierra — External Agent Partnership

What is Sierra AI?

Sierra AI is an AI agent startup founded by Bret Taylor, former Salesforce co-CEO and OpenAI board chair. It provides an enterprise AI agent platform with extensible capabilities that enable complex, regulated businesses to deploy agents quickly.

Meta × Sierra Synergy

Meta’s pursuit of a Sierra partnership holds significant strategic value:

Area	Meta’s Strengths	Sierra’s Strengths
User Base	3B+ DAU	Enterprise customer network
AI Models	Avocado/Llama	Agent orchestration
Channels	WhatsApp, Messenger, Instagram	B2B communication
Data	Social graph	Business processes

Meta is already processing over 1 million weekly conversations through Business AI on WhatsApp, with plans for further expansion.

Big Brain — Advanced Reasoning Engine

The Importance of Reasoning

Big Brain reportedly refers to Meta AI’s advanced reasoning capabilities. As demonstrated by OpenAI’s o1/o3 series and Google’s Gemini 3, deep reasoning capabilities beyond simple text generation are a core competitive advantage for AI agents.

For agents to perform complex business tasks, they need:

1. Multi-step planning: Breaking down complex requests into stages
2. Tool use: Calling external APIs and services
3. Situational judgment: Appropriate decision-making in edge cases
4. Self-verification: Confirming accuracy of results

Big Brain embeds these reasoning capabilities into the Avocado model, elevating Meta’s agent ecosystem to the next level.

graph TD
    User["User Request"] --> Agent["Meta AI Agent"]
    Agent --> BigBrain["Big Brain<br/>(Reasoning Engine)"]
    BigBrain --> Plan["Multi-step Planning"]
    BigBrain --> Tool["Tool Calls<br/>(APIs/Services)"]
    BigBrain --> Judge["Situational Judgment"]
    Plan --> Execute["Execution"]
    Tool --> Execute
    Judge --> Execute
    Execute --> Result["Return Results"]

Meta’s Agent Platform Strategy — The Full Picture

Meta’s AI agent platform strategy consists of three layers:

1. Model Layer (Avocado + Big Brain)

• Achieving performance superiority over competitors with a next-gen frontier model
• Enhancing agent autonomy through reasoning capabilities

2. Platform Layer (Sierra + Business AI)

• Agent deployment through WhatsApp, Messenger, and Instagram
• Enterprise agent SDK and API offerings
• Global expansion of the Business AI assistant

3. Application Layer

• Ad optimization: AI-powered ad creative generation ($10B revenue run-rate for video generation tools in Q4 2025)
• Content recommendations: 7% lift in organic feed views
• Business messaging: Click-to-message ad revenue growth exceeding 50% YoY in the US

graph TB
    subgraph "Application Layer"
        Ads["Ad Optimization"]
        Content["Content Recommendations"]
        BizMsg["Business Messaging"]
    end
    subgraph "Platform Layer"
        WhatsApp["WhatsApp"]
        Messenger["Messenger"]
        Instagram["Instagram"]
        SierraP["Sierra Partnership"]
    end
    subgraph "Model Layer"
        AvocadoM["Avocado Model"]
        BigBrainM["Big Brain Reasoning"]
    end
    Ads --> WhatsApp
    Content --> Instagram
    BizMsg --> Messenger
    WhatsApp --> AvocadoM
    Messenger --> AvocadoM
    Instagram --> AvocadoM
    SierraP --> AvocadoM
    AvocadoM --> BigBrainM

Impact on Developers

Key Takeaways

1. Agent API ecosystem: If Meta releases an agent SDK, it opens up agent development for 3 billion users
2. WhatsApp Business Agents: Business AI, already live in Mexico and the Philippines, is set to expand globally
3. Avocado model capabilities: With the proprietary shift, API-based access will likely be the primary integration method
4. Sierra platform integration: Enterprise agent development can leverage Sierra’s orchestration layer

Shifting Competitive Landscape

Company	Agent Strategy	Core Model
Meta	Social platform-based agents	Avocado
OpenAI	ChatGPT + Operator	o3/GPT-5
Google	Gemini + Android integration	Gemini 3
Anthropic	Claude + Agent Teams	Opus 4.6
Salesforce	Agentforce + CRM	Einstein

Conclusion

Meta’s AI agent platform transformation is not merely a technology shift — it’s a fundamental restructuring of its business model. Built on the solid foundation of advertising revenue, this attempt to convert a platform with 3 billion users into agent infrastructure has the potential to reshape the AI industry.

If this triangulated strategy succeeds — strengthening enterprise agent capabilities through Sierra, securing model competitiveness with Avocado, and elevating reasoning with Big Brain — Meta could establish itself as a powerhouse in AI agent platforms, transcending its social media origins.

The Q1 2026 release of the Avocado model and the global expansion of Business AI will be the first test of this vision.

References

• CNBC: From Llamas to Avocados: Meta’s shifting AI strategy
• Meta: 2026 AI Drives Performance
• Sierra AI: Year Two in Review
• Gadgets360: Meta AI Could Get New Avocado Models, AI Agents