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Welcome to our quick, ELI5[^1] guide to [Honcho](https://honcho.dev). Welcome to our quick, ELI5[^1] guide to [Honcho](https://honcho.dev).
We'll cover [[A Simple Honcho Primer#^2f795f|what Honcho is]], [[A Simple Honcho Primer#^5125da|why we built it]], [[A Simple Honcho Primer#^1d2d3c|how to use it]], and [[A Simple Honcho Primer#^5a46d7|where the product is going]]. We'll cover [[A Simple Honcho Primer#^ef795f|what Honcho is]], [[A Simple Honcho Primer#^x125da|why we built it]], [[A Simple Honcho Primer#^1d2d3c|how to use it]], and [[A Simple Honcho Primer#^ca46d7|where the product is going]].
And throughout, we'll link to places you can dive deeper[^2]. And throughout, we'll link to places you can dive deeper[^2].
## What is Honcho? ## What is Honcho?
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Honcho is a personalization platform for large language model (LLM) applications built by [Plastic Labs](https://plasticlabs.ai). Honcho is a personalization platform for large language model (LLM) applications built by [Plastic Labs](https://plasticlabs.ai).
It's software infrastructure that lets AI apps to "get to know" their users, resulting in delightful experiences and optimized time to value. It's software infrastructure that lets AI apps to "get to know" their users, resulting in delightful experiences and optimized time to value.
We'll have direct consumer experiences in the future, but today, the product is for application developers. It allows them to [[Introducing Honcho's Dialectic API#^a14c2f|reduce overhead]] and [[Introducing Honcho's Dialectic API#^07f7f8|enhance their machine learning pipeline]]. We'll have direct consumer experiences in the future, but today, the product is for application developers. It allows them to [[Introducing Honcho's Dialectic API#^a14c2f|reduce overhead]] and [[Introducing Honcho's Dialectic API#^x7f7f8|enhance their machine learning pipeline]].
Right now, Honcho is in private beta, that means integrating our hosted version requires permission and onboarding[^3]. [You can sign-up here](https://plasticlabs.typeform.com/honchobeta). Right now, Honcho is in private beta, that means integrating our hosted version requires permission and onboarding[^3]. [You can sign-up here](https://plasticlabs.typeform.com/honchobeta).
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It then acts as [[Introducing Honcho's Dialectic API|an oracle to each user]], allowing apps ask for any personal context they need to improve UX and giving them access to a social cognition layer. It then acts as [[Introducing Honcho's Dialectic API|an oracle to each user]], allowing apps ask for any personal context they need to improve UX and giving them access to a social cognition layer.
## Why We Built Honcho ## Why We Built Honcho
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We believe Honcho will be a key part of the AI application development stack. We believe Honcho will be a key part of the AI application development stack.
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There's [[Announcing Honcho's Private Beta#^5b6ef1|enormous potenial]] for more positive-sum use of user data and for aligning AI applications more closely with user needs and preferences. There's [[Announcing Honcho's Private Beta#^5b6ef1|enormous potenial]] for more positive-sum use of user data and for aligning AI applications more closely with user needs and preferences.
## How to Use Honcho ## How to Use Honcho
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## What's Next for Honcho ## What's Next for Honcho

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Not only is it ideal from a development and design perspective, it's optimal for the particular task of personal context and user identity. Not only is it ideal from a development and design perspective, it's optimal for the particular task of personal context and user identity.
#### The DevEx Case #### The DevEx Case
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Our Dialectic API is single endpoint for everything personalization. Our Dialectic API is single endpoint for everything personalization.
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However, this doesn't mean the developer now needs to be a prompting expert, fluent in all its esoterica. Honcho is an expert in personal context and theory of mind reasoning, so your prompts can be adaptive and ad hoc, and Honcho will figure out the rest. When you're ready, you can even offload the queries to your app-side LLM. However, this doesn't mean the developer now needs to be a prompting expert, fluent in all its esoterica. Honcho is an expert in personal context and theory of mind reasoning, so your prompts can be adaptive and ad hoc, and Honcho will figure out the rest. When you're ready, you can even offload the queries to your app-side LLM.
#### The ML Case #### The ML Case
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Extra context improves user response generation, the more specific, the better. Focus on ML to crush your vertical, let Honcho personalize it by default. Extra context improves user response generation, the more specific, the better. Focus on ML to crush your vertical, let Honcho personalize it by default.