diff --git a/tutorials/python-tracking-and-signals/introduction.md b/tutorials/python-tracking-and-signals/introduction.md index 36e38f659..cb25ceefd 100644 --- a/tutorials/python-tracking-and-signals/introduction.md +++ b/tutorials/python-tracking-and-signals/introduction.md @@ -30,7 +30,7 @@ This tutorial should take around 45 minutes to complete. This tutorial assumes that you have: * a Snowplow pipeline with a [Collector endpoint](/docs/sources/) you can send events to, because Signals computes attributes from your live event stream -* [Signals enabled](/docs/signals/get-started/) on your Snowplow account, since the personalization features depend on it +* [Signals enabled](/docs/signals/setup/) on your Snowplow account, since the personalization features depend on it * Python 3.9 or later, to run the SDKs * basic familiarity with Python and with [Snowplow events, entities, and schemas](/docs/fundamentals/events/) diff --git a/tutorials/signals-agentic-accelerator/intro.md b/tutorials/signals-agentic-accelerator/intro.md index 4dd9c525f..c121d9bee 100644 --- a/tutorials/signals-agentic-accelerator/intro.md +++ b/tutorials/signals-agentic-accelerator/intro.md @@ -36,9 +36,12 @@ Together, Signals provides real-time behavioral context while AgentCore Memory p ## Prerequisites -* A Snowplow CDI pipeline with Signals enabled - the agent fetches behavioral attributes from the Signals Profiles API +* A Snowplow CDI pipeline with Signals enabled (see [Set up Signals](/docs/signals/setup/)) - the agent fetches behavioral attributes from the Signals Profiles API * An AWS account with [Amazon Bedrock](https://aws.amazon.com/bedrock/) access and AgentCore Memory access - the agent runs on Claude via Bedrock, and your IAM user needs permissions for `bedrock:InvokeModel`, `bedrock-agentcore:*`, and `iam:PassRole` (scoped to `bedrock-agentcore.amazonaws.com`) to create AgentCore Memory resources * [AWS CLI](https://aws.amazon.com/cli/) installed and configured - used to authenticate with AWS services from the notebook * Python 3.11 or later - required by the Strands Agents framework * Familiarity with Python and running Jupyter notebooks +:::note[Snowplow account required] +The behavioral attributes in this accelerator come from events flowing through a real Snowplow pipeline. If you don't have one, you can deploy and use a [Snowplow free trial](https://snowplow.io/get-started/snowplow-free-trial) to follow along. +::: diff --git a/tutorials/signals-ai-agent-context/introduction.md b/tutorials/signals-ai-agent-context/introduction.md index 2ed06ba30..978492031 100644 --- a/tutorials/signals-ai-agent-context/introduction.md +++ b/tutorials/signals-ai-agent-context/introduction.md @@ -47,10 +47,14 @@ The flow works like this: This tutorial requires: -* A Snowplow account with [Signals deployed](/docs/signals/connection/) +* A Snowplow account with Signals enabled (see [Set up Signals](/docs/signals/setup/)) * Node.js 18+ and npm/pnpm * A [Vercel AI Gateway API key](https://vercel.com/docs/ai-gateway/getting-started) * This tutorial uses `openai/gpt-4o-mini` via AI Gateway, but any supported model works * Basic familiarity with Next.js and TypeScript +:::note[Snowplow account required] +Signals computes the session attributes from real events flowing through your pipeline. If you don't have one, you can deploy and use a [Snowplow free trial](https://snowplow.io/get-started/snowplow-free-trial) to follow along. +::: + This tutorial should take approximately 30 minutes to complete. diff --git a/tutorials/signals-google-adk-agent/introduction.md b/tutorials/signals-google-adk-agent/introduction.md index f5b30a40d..6d5c5ad60 100644 --- a/tutorials/signals-google-adk-agent/introduction.md +++ b/tutorials/signals-google-adk-agent/introduction.md @@ -45,10 +45,14 @@ The flow works like this: ## Prerequisites -- A Snowplow account with [Signals deployed](/docs/signals/connection/) +- A Snowplow account with Signals enabled (see [Set up Signals](/docs/signals/setup/)) - Node.js 18+ and npm/pnpm - Python 3.12+ - A Google AI Studio API key - [AI Studio](https://aistudio.google.com/app/apikey) - [Vertex AI](https://docs.cloud.google.com/agent-builder/agent-engine/quickstart-adk) - Basic familiarity with React, Python, and TypeScript + +:::note[Snowplow account required] +The agent fetches session attributes that Signals computes from your live event stream. If you don't have a pipeline, you can deploy and use a [Snowplow free trial](https://snowplow.io/get-started/snowplow-free-trial) to follow along. +::: diff --git a/tutorials/signals-interventions/start.md b/tutorials/signals-interventions/start.md index bc41c64f4..705b1fb68 100644 --- a/tutorials/signals-interventions/start.md +++ b/tutorials/signals-interventions/start.md @@ -14,6 +14,10 @@ This tutorial provides a hands-on introduction to Signals. You'll use Python to To follow this tutorial, you'll need a Snowplow account with Signals enabled. +:::note[Snowplow account required] +If you don't have a Snowplow account, you can sign up for a [Snowplow free trial](https://snowplow.io/get-started/snowplow-free-trial) to follow along. +::: + This tutorial should take approximately 20-30 minutes to complete. ## What you'll learn diff --git a/tutorials/signals-ml-prospect-scoring/intro.md b/tutorials/signals-ml-prospect-scoring/intro.md index 8cf0f6553..92557853c 100644 --- a/tutorials/signals-ml-prospect-scoring/intro.md +++ b/tutorials/signals-ml-prospect-scoring/intro.md @@ -36,10 +36,14 @@ We're calculating aggregated attributes based off real-time stream event data, s ## Prerequisites -1. Follow the [Connect to Signals](/docs/signals/connection/) page to set up the Signals connection in the Snowplow Console +1. [Enable Signals](/docs/signals/setup/) for your Snowplow account 2. Open this [Google Colab](https://colab.research.google.com/github/snowplow-incubator/signals-notebooks/blob/main/web/web_prospect_scoring_end_to_end.ipynb) notebook to follow along 3. [Optional] Integrate Snowplow into your website +:::note[Snowplow account required] +Signals calculates the prospect attributes from events flowing through your Snowplow pipeline. If you don't have one, you can deploy and use a [Snowplow free trial](https://snowplow.io/get-started/snowplow-free-trial) to follow along. +::: + ## Architecture The system consists of three main blocks: diff --git a/tutorials/signals-personalize-travel/intro.md b/tutorials/signals-personalize-travel/intro.md index d5c566611..ceab4ccca 100644 --- a/tutorials/signals-personalize-travel/intro.md +++ b/tutorials/signals-personalize-travel/intro.md @@ -21,9 +21,13 @@ You'll build a complete personalization system that captures user interests thro ## Prerequisites -* Signals enabled for your CDI pipeline +* [Enable Signals](/docs/signals/setup/) for your CDI pipeline * The [Snowplow Inspector](https://chromewebstore.google.com/detail/snowplow-inspector/maplkdomeamdlngconidoefjpogkmljm) browser extension installed * Familiarity with running Jupyter notebooks, either locally or in Google Colab * [Docker](https://www.docker.com/) installed and configured * Access to the Jupyter [notebook](https://colab.research.google.com/github/snowplow/documentation/blob/main/static/notebooks/signals-personalize-travel-demo.ipynb) * Optional: an [OpenAI API key](https://platform.openai.com/api-keys) to customize agent responses + +:::note[Snowplow account required] +Signals processes the behavioral data from events flowing through your Snowplow pipeline. If you don't have one, you can deploy and use a [Snowplow free trial](https://snowplow.io/get-started/snowplow-free-trial) to follow along. +::: diff --git a/tutorials/signals-quickstart/start.md b/tutorials/signals-quickstart/start.md index 0cde4ea83..24d049f9c 100644 --- a/tutorials/signals-quickstart/start.md +++ b/tutorials/signals-quickstart/start.md @@ -22,10 +22,14 @@ This tutorial assumes that you have: * Snowplow page view tracking on a web application * Snowflake warehouse -* A Signals connection +* Signals enabled on your Snowplow account -## Connecting to Signals +:::note[Snowplow account required] +Signals calculates attributes from events flowing through your Snowplow pipeline. If you don't have an account, you can sign up for a [Snowplow free trial](https://snowplow.io/get-started/snowplow-free-trial) to follow along. +::: + +## Enable Signals Log in to [Console](https://console.snowplowanalytics.com) and navigate to the **Signals** section. -You'll need to [set up a Signals connection](/docs/signals/connection/) if you don't have one yet. +If Signals isn't enabled for your organization yet, follow [Set up Signals](/docs/signals/setup/) first.