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Email examplesSequencesInference.net

Inference.net onboarding

6 emails over 9 days, counted from the day we signed up.

Clone this sequencePreview it for your brand
  1. Day 0First email
    Email 1 · WelcomeWelcome to Inference.netA few good places to start — and my inbox is open.
  2. Day 11 day later
    Email 2 · OnboardingSee what your AI is actually doingThe best place to start with Inference is visibility.
  3. Day 32 days later

What each email does

  1. Day 0First emailWelcomeWelcome to Inference.netInference.net’s CEO introduces the AI platform and suggests three ways to get started. He invites the new subscriber to reply directly with feedback or questions.
  2. Day 11 day laterOnboardingSee what your AI is actually doingThe first lesson in a five-part getting-started sequence explains how to route existing LLM traffic through Inference to monitor latency, errors, and cost. It encourages the reader to capture a first trace in five minutes.
Email 3 · OnboardingOne API key, every modelOne OpenAI-compatible key for every model.
  • Day 52 days later
    Email 4 · OnboardingIs there a cheaper model that's just as good?A model leaderboard for your own task, not a generic benchmark.
  • Day 72 days later
    Email 5 · OnboardingCatch problems before your users doSignals and HALO turn your traces into an early-warning system.
  • Day 92 days later
    Email 6 · OnboardingTrain a model that's cheaper, faster, and yoursDistill a custom model on your data and deploy it behind your API.
  • Day 32 days later
    OnboardingOne API key, every modelThe second lesson in a five-part getting-started series introduces the Gateway as a way to access many models through one API key. It encourages the recipient to make a first call and previews the next lesson.
  • Day 52 days laterOnboardingIs there a cheaper model that's just as good?This third getting-started lesson explains how AutoEvals compares models on a subscriber’s own traffic, including quality and cost. It ends with one clear prompt to run an eval.
  • Day 72 days laterOnboardingCatch problems before your users doThis fourth lesson in Inference’s getting-started series explains how Signals and HALO help monitor AI agents. It encourages the reader to set up their first Signal.
  • Day 92 days laterOnboardingTrain a model that's cheaper, faster, and yoursThe final lesson in a getting-started sequence explains how to train and deploy a custom model using the user's data. It connects the feature to earlier setup steps and invites the recipient to reply with what they are building.
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