Together AI

What It Does

Together AI provides a cloud platform built for developers to train, fine-tune, and run open-source large language models (LLMs) at scale. It's not a consumer-facing application but the raw infrastructure for building AI-powered features. Think of it as the engine room for custom AI, offering everything from serverless inference APIs to dedicated GPU clusters for heavy-duty model training.

Why It Matters for Marketing Operations

For a marketing leader, Together AI matters because it represents the path to owning your AI stack instead of renting it. Relying on closed-source models like GPT-4 means your data, your customer experience, and your costs are subject to another company's roadmap. By using Together AI to deploy open-source models, you gain control over your AI destiny, which translates to better security, predictable costs, and the ability to build deeply integrated, proprietary marketing workflows that competitors cannot easily replicate. This is about moving from being a consumer of AI to an owner of AI-driven outcomes.

How I Deploy It

In my work, I deploy Together AI as the foundational layer for building custom marketing and sales automation agents. For instance, for a B2B SaaS client, we fine-tuned a Llama 3 model on their entire history of sales calls and support tickets. We then wrapped this model in an API using Together AI's serverless inference and integrated it with n8n and Segment. When a new high-intent event is captured in Segment, it triggers an n8n workflow that uses our custom model to draft a hyper-personalized outreach email, which then gets logged in HubSpot. This isn't just another AI writing tool; it's a bespoke system that understands the client's specific customer conversations and value propositions, leading to a measurable lift in pipeline conversion.

When to Use It vs. Alternatives

Together AI is the right choice when control, cost at scale, and customization are your primary drivers. If you're building a core, proprietary AI feature that needs to be deeply integrated with your data, Together AI's focus on open-source models is a strategic advantage. However, if your team needs to quickly prototype with a wide variety of pre-trained models and prioritizes ease of use over everything else, a platform like Replicate is a better starting point. Replicate's model marketplace is broader and more accessible for teams that want to experiment without managing the underlying infrastructure. I see Together AI as the professional-grade tool for when you're ready to move from experimentation to production with a specific open-source model.

The Operator's Take

Together AI is for builders who understand that the real moat in AI isn't the model itself, but the data and workflows you build around it. It's the strategic choice for marketing teams that are serious about operationalizing AI for a sustainable competitive advantage. It's not the easy button, but it's the right button for long-term value creation.