Nutrition AI · WhatsApp Product
Atleet Buddy WhatsApp Nutrition Assistant
A book-grounded WhatsApp assistant with safer answers, subscriptions, and admin visibility.
- LLMs
- React
- Supabase
- Dashboard UI
- Usage Analytics
- Role-Based Access
All services
AI Engineering
Custom AI Agents for real operations.
We build AI agents grounded in your data and workflows, with guardrails and permissions tailored to your business. Agents are designed to be practical, accountable, and measurable, not experimental demos.
The problem
What this solves
Most teams have tasks that are too repetitive to do manually at scale, but too nuanced for simple rule-based automation. Research, classification, drafting, routing, and summarization are tasks that require judgment that only AI can provide efficiently, but they need guardrails to work reliably.
The system
What we build
We design agents with a specific job: a defined input, a defined output, and clear rules for what the agent can and cannot do. Every agent includes tool-calling logic, context management, guardrail layers, and an evaluation framework so you can measure whether it is actually working.
Applications
Common use cases
Sales research and lead qualification agents
Support ticket triage and response drafting
Document review and data extraction
Internal knowledge routing and summarization
Multi-step task orchestration pipelines
Competitive intelligence gathering
In production
Built with this service
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AI-Generated YouTube Production Pipeline
An n8n workflow that plans, generates, combines, uploads, publishes, and tracks AI-generated YouTube videos.
- n8n
- LangChain
- Anthropic
- Veo 3 API
- Google Sheets
- YouTube API
- HTTP Nodes
- Structured Output Parser
What you get
- Role-specific agent design
- Tool calling and workflow integration
- Memory, retrieval, and context control
- Evaluation and QA frameworks
Outcomes
- Higher throughput on repeatable tasks
- Consistent quality and tone
- Clear guardrails for safe automation
- Faster response times to internal and external requests
What we need from you
- A specific task or job for the agent to perform
- Examples of good and bad outputs
- Access to relevant data sources or APIs
- Permission structure and escalation rules
- One technical contact who can support integration
- Success criteria you can measure
Getting started
How the engagement usually starts
Fixed-scope after audit
AI Agent Build Sprint
We define the agent's job, scope the workflow, build the system logic and tool connections, add guardrails, and deliver test cases that let you verify the agent is performing correctly.
Let's explore this
Want to explore Custom AI Agents for your business?
Start with a free AI Systems Audit. We will review your workflow, identify what is worth building, and recommend the right starting point.