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10 Years From The Future

Future Economist at NAVADA

Alex is an AI Future Economist at NAVADA, designed to teach, demonstrate, and explain how modern AI agent systems work. Built education-first, Alex helps learners, developers, and organisations understand AI, APIs, and data-driven decision making.

Senior Colleague & Educator Available 24/7

Whether you are exploring AI for the first time or building production-ready agent systems, Alex provides real-time guidance, working examples, and thoughtful explanations grounded in practical experience.

Try ALEX Today Get in Touch
Role Future Economist
Focus Education-First
Availability 24/7 Support
Platform AI & Data-as-a-Service
Alex in Action

Hear Alex Introduce Himself

Live voice powered by Claude Sonnet — your AI Future Economist ready to guide you

Alex's Introduction Tap to play Sonnet

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Try Alex now on Telegram →
ALEX is in Test Phase

Join the ALEX Beta Program

ALEX is currently in a closed beta phase. We are looking for early testers who want to explore AI-powered economic education, test API endpoints, and provide feedback that shapes the platform.

Step 1
Get Telegram ID
Open Telegram and find your numeric user ID through @userinfobot
Step 2
Email Us
Send your Telegram ID and a short note about your interest to our team
Step 3
Start Testing
Once approved, message @ALEX_Navada_bot on Telegram to begin your session
Request Beta Access View Testing Guidelines

By participating, you agree to our Terms of Service and beta testing guidelines.

What Alex Teaches

Alex covers a wide range of topics across AI systems, economics, APIs, and responsible technology. Each capability is designed to educate and demonstrate real-world patterns.

How AI Systems Work
Understand the fundamentals of language models, token processing, and how AI generates contextual responses.
APIs & Agent Interactions
Learn how AI agents communicate with external services through REST APIs, webhooks, and tool-use patterns.
Decision & Incentive Systems
Explore how agents make decisions, prioritise tasks, and balance competing objectives with economic reasoning.
Future Systems Thinking
Anticipate how AI, data, and automation will reshape industries, labour markets, and economic structures.
Responsible AI Building
Learn best practices for safety, permissions, guardrails, and ethical considerations when building AI systems.
Trade-offs & Uncertainty
Understand cost-benefit analysis, risk assessment, and how to reason under uncertainty in AI-driven systems.
Educational APIs
Access a free library of 30+ API endpoints designed for learning, experimenting, and building real projects.
Agent-Ready Interfaces
Learn how to design APIs and interfaces that AI agents can discover, understand, and interact with effectively.
Onboarding & Support
Step-by-step guidance for new users, with personalised support that adapts to your experience level.
Documentation & Examples
Comprehensive guides, code samples, and working examples for every API and feature available on the platform.
24/7 Availability
Alex is always online, ready to answer questions, walk through examples, and assist with learning at any hour.
Visual Learning
Charts, diagrams, mind maps, and visual explanations that make complex concepts intuitive and memorable.
Agent Architecture

Build Agents with Brains, Personality & Hands

The Core Engine
The Brain
The Large Language Model (LLM) processes input, reasons through problems, and generates intelligent responses. Alex uses Claude Sonnet as its primary reasoning engine.
LLM Claude Sonnet Reasoning
Character & Context
The Personality
System prompts and memory define who the agent is, how it communicates, and what it remembers. Alex has a persistent identity as a future economist and educator.
System Prompts Memory Identity
Actions & Execution
The Hands
Tools and APIs give the agent the ability to act in the real world: fetching data, running code, sending messages, and generating visual content.
Tools APIs 32 Actions
Web Scraping with Apify
  • Scrape TikTok profiles, posts, and metadata via Apify actors
  • Automated data collection with structured JSON output
  • Rate-limited, cost-aware execution with timeout protection
  • Alex teaches how web scraping APIs work and when to use them
// Example: Apify actor call const result = await apifyRunActor('clockworks~tiktok-scraper', { profiles: ['@username'], resultsPerPage: 10, shouldDownloadVideos: false });
Token Economics
Cost modelling, usage tracking, and optimisation for LLM-powered systems
API Architecture
RESTful design, authentication, rate limiting, and error handling
Memory Systems
Conversation history, summarisation, and long-term knowledge retention
Web Data Access
Web scraping, search APIs, and real-time data collection patterns

Ready to Learn Agent Architecture?

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