Customer Use Case
How Pal. built an AI health coach with all the right tools on Rightbrain.
15 AI tools and features power Pal.’s food scanner, nutrition targets, and coaching features. Founder and Product Lead, Chris, runs them all, fixing edge cases, switching models, and shipping updates daily.
Pal. is the ultimate all-in-one health companion
Pal. is an all in one health companion with features like a conversational voice agent, nutrition tracking, and SmartShop, a tool that rates supermarket products and suggests healthier alternatives.
Each of these features runs on Rightbrain Tasks, which are small, production-ready AI workflows that power the intelligence behind the Pal. app. The app focuses on collecting data and delivering a great experience, while Rightbrain handles the processing, reasoning, and outputs.
Building tools for agents in Rightbrain
One of Pal.’s features, SmartShop, is a product scanner that helps users make healthier choices in the supermarket. When a user takes a photo of a product, SmartShop:
- Analyses the product and gives it a health rating
- Flags hidden ingredients or misleading marketing claims
- Suggests healthier alternatives with links to buy
Behind the scenes, SmartShop is powered by a Rightbrain Task. Pal. have built this task to:
- Accept the product photo and ingredients label as inputs
- Run it through a model they selected after testing multiple options in Rightbrain
- Use a carefully crafted prompt that captures edge cases and defines exactly how the analysis should be performed
- Return a structured JSON output with health rating, flags, and recommended alternatives that developers can easily render in the app
Because SmartShop lives on Rightbrain, the Pal. team can quickly adjust prompts and ship improvements instantly by promoting versions to staging and production. Version control allows them to experiment without impacting users.
I’m not a developer, but I can make daily changes that go live in production. Without Rightbrain, running 20+ AI features would be impossible.
Chris Davison,Founder at Pal.health
Monitoring AI tasks in one place
Pal. could have connected to a model API directly, but they needed a way to operate, monitor, and improve AI in production without waiting for engineering cycles or app redeploys, and to future-proof their AI approach through access to all leading models.
With Rightbrain, Chris can:
- Test and swap models side by side to find the most reliable one
- Refine prompts on the fly and deploy updates instantly to all users
- Handle edge cases quickly by iterating on prompts and output formats
And when things fail, it’s not a complete black box. Chris can inspect inputs and outputs, diagnose the issue, adjust the prompt and deploy fixes.
Honestly, without Rightbrain, it would be impossible. I can switch models, fix issues, and ship updates daily, without waiting on engineers.
Chris Davison,Founder at Pal.health
Pal. manages multiple AI features in Rightbrain
1) SmartShop: scan a product, get healthier alternatives
In a supermarket aisle, a user snaps a yoghurt pot. Pal. analyses the label, flags misleading claims like “low-fat” that hide high sugar content, and suggests healthier swaps with purchase links.
2) Daily nutrition targets with guardrails
When one user was assigned a dangerously low calorie target, Chris added a simple rule, “never recommend below safe minimums”, and rolled it out in seconds. The fix went live for all users without requiring a developer.
3) Content moderation in under an hour
Pal.’s profanity filter, which blocks offensive usernames, was conceived, built, and deployed in a single afternoon.
Impact (so far)
Pal. went from prototype to production with Rightbrain at the core. The results are measurable:
15+ tasks live today, with more in the pipeline. Increased velocity and testing of new features.
Founder-led iteration: Chris pushes updates daily with minimal dev effort, reducing overhead and strain on roadmap.
Model flexibility: test new models side by side, leading to cost and performance gains with each new model update.
Operational confidence: Chris can monitor failed runs, detect anomalies in performance, and patch fixes fast.
If Rightbrain shut down tomorrow, the impact across the business would be huge. There’s nothing else that makes it this easy to run AI in production.
Chris Davison,Founder at Pal.health
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Customer Use Case
How Pal. built an AI health coach with all the right tools on Rightbrain.
15 AI tools and features power Pal.’s food scanner, nutrition targets, and coaching features. Founder and Product Lead, Chris, runs them all, fixing edge cases, switching models, and shipping updates daily.
Pal. is the ultimate all-in-one health companion
Pal. is an all in one health companion with features like a conversational voice agent, nutrition tracking, and SmartShop, a tool that rates supermarket products and suggests healthier alternatives.
Each of these features runs on Rightbrain Tasks, which are small, production-ready AI workflows that power the intelligence behind the Pal. app. The app focuses on collecting data and delivering a great experience, while Rightbrain handles the processing, reasoning, and outputs.
Building tools for agents in Rightbrain
One of Pal.’s features, SmartShop, is a product scanner that helps users make healthier choices in the supermarket. When a user takes a photo of a product, SmartShop:
- Analyses the product and gives it a health rating
- Flags hidden ingredients or misleading marketing claims
- Suggests healthier alternatives with links to buy
Behind the scenes, SmartShop is powered by a Rightbrain Task. Pal. have built this task to:
- Accept the product photo and ingredients label as inputs
- Run it through a model they selected after testing multiple options in Rightbrain
- Use a carefully crafted prompt that captures edge cases and defines exactly how the analysis should be performed
- Return a structured JSON output with health rating, flags, and recommended alternatives that developers can easily render in the app
Because SmartShop lives on Rightbrain, the Pal. team can quickly adjust prompts and ship improvements instantly by promoting versions to staging and production. Version control allows them to experiment without impacting users.
I’m not a developer, but I can make daily changes that go live in production. Without Rightbrain, running 20+ AI features would be impossible.
Chris Davison,Founder at Pal.health
Monitoring AI tasks in one place
Pal. could have connected to a model API directly, but they needed a way to operate, monitor, and improve AI in production without waiting for engineering cycles or app redeploys, and to future-proof their AI approach through access to all leading models.
With Rightbrain, Chris can:
- Test and swap models side by side to find the most reliable one
- Refine prompts on the fly and deploy updates instantly to all users
- Handle edge cases quickly by iterating on prompts and output formats
And when things fail, it’s not a complete black box. Chris can inspect inputs and outputs, diagnose the issue, adjust the prompt and deploy fixes.
Honestly, without Rightbrain, it would be impossible. I can switch models, fix issues, and ship updates daily, without waiting on engineers.
Chris Davison,Founder at Pal.health
Pal. manages multiple AI features in Rightbrain
1) SmartShop: scan a product, get healthier alternatives
In a supermarket aisle, a user snaps a yoghurt pot. Pal. analyses the label, flags misleading claims like “low-fat” that hide high sugar content, and suggests healthier swaps with purchase links.
2) Daily nutrition targets with guardrails
When one user was assigned a dangerously low calorie target, Chris added a simple rule, “never recommend below safe minimums”, and rolled it out in seconds. The fix went live for all users without requiring a developer.
3) Content moderation in under an hour
Pal.’s profanity filter, which blocks offensive usernames, was conceived, built, and deployed in a single afternoon.
Impact (so far)
Pal. went from prototype to production with Rightbrain at the core. The results are measurable:
15+ tasks live today, with more in the pipeline. Increased velocity and testing of new features.
Founder-led iteration: Chris pushes updates daily with minimal dev effort, reducing overhead and strain on roadmap.
Model flexibility: test new models side by side, leading to cost and performance gains with each new model update.
Operational confidence: Chris can monitor failed runs, detect anomalies in performance, and patch fixes fast.
If Rightbrain shut down tomorrow, the impact across the business would be huge. There’s nothing else that makes it this easy to run AI in production.
Chris Davison,Founder at Pal.health
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Start Trial
Ready to ship your next AI feature?
Start Free Trial
Customer Use Case
How Pal. built an AI health coach with all the right tools on Rightbrain.
15 AI tools and features power Pal.’s food scanner, nutrition targets, and coaching features. Founder and Product Lead, Chris, runs them all, fixing edge cases, switching models, and shipping updates daily.
Pal. is the ultimate all-in-one health companion
Pal. is an all in one health companion with features like a conversational voice agent, nutrition tracking, and SmartShop, a tool that rates supermarket products and suggests healthier alternatives.
Each of these features runs on Rightbrain Tasks, which are small, production-ready AI workflows that power the intelligence behind the Pal. app. The app focuses on collecting data and delivering a great experience, while Rightbrain handles the processing, reasoning, and outputs.
Building tools for agents in Rightbrain
One of Pal.’s features, SmartShop, is a product scanner that helps users make healthier choices in the supermarket. When a user takes a photo of a product, SmartShop:
- Analyses the product and gives it a health rating
- Flags hidden ingredients or misleading marketing claims
- Suggests healthier alternatives with links to buy
Behind the scenes, SmartShop is powered by a Rightbrain Task. Pal. have built this task to:
- Accept the product photo and ingredients label as inputs
- Run it through a model they selected after testing multiple options in Rightbrain
- Use a carefully crafted prompt that captures edge cases and defines exactly how the analysis should be performed
- Return a structured JSON output with health rating, flags, and recommended alternatives that developers can easily render in the app
Because SmartShop lives on Rightbrain, the Pal. team can quickly adjust prompts and ship improvements instantly by promoting versions to staging and production. Version control allows them to experiment without impacting users.
I’m not a developer, but I can make daily changes that go live in production. Without Rightbrain, running 15+ AI features would be impossible.
Chris Davison,Founder at Pal.health
Monitoring AI tasks in one place
Pal. could have connected to a model API directly, but they needed a way to operate, monitor, and improve AI in production without waiting for engineering cycles or app redeploys, and to future-proof their AI approach through access to all leading models.
With Rightbrain, Chris can:
- Test and swap models side by side to find the most reliable one
- Refine prompts on the fly and deploy updates instantly to all users
- Handle edge cases quickly by iterating on prompts and output formats
And when things fail, it’s not a complete black box. Chris can inspect inputs and outputs, diagnose the issue, adjust the prompt and deploy fixes.
Honestly, without Rightbrain, it would be impossible. I can switch models, fix issues, and ship updates daily, without waiting on engineers.
Chris Davison,Founder at Pal.health
Pal. manages multiple AI features in Rightbrain
1) SmartShop: scan a product, get healthier alternatives
In a supermarket aisle, a user snaps a yoghurt pot. Pal. analyses the label, flags misleading claims like “low-fat” that hide high sugar content, and suggests healthier swaps with purchase links.
2) Daily nutrition targets with guardrails
When one user was assigned a dangerously low calorie target, Chris added a simple rule, “never recommend below safe minimums”, and rolled it out in seconds. The fix went live for all users without requiring a developer.
3) Content moderation in under an hour
Pal.’s profanity filter, which blocks offensive usernames, was conceived, built, and deployed in a single afternoon.
Impact (so far)
Pal. went from prototype to production with Rightbrain at the core. The results are measurable:
15+ tasks live today, with more in the pipeline. Increased velocity and testing of new features.
Founder-led iteration: Chris pushes updates daily with minimal dev effort, reducing overhead and strain on roadmap.
Model flexibility: test new models side by side, leading to cost and performance gains with each new model update.
Operational confidence: Chris can monitor failed runs, detect anomalies in performance, and patch fixes fast.
If Rightbrain shut down tomorrow, the impact across the business would be huge. There’s nothing else that makes it this easy to run AI in production.
Chris Davison,Founder at Pal.health
Log in
Start Trial
Ready to ship your next AI feature?
Start Free Trial