# AI-First Platform Developer: Email + AI Concierge MVP (Smart Life Assistant)

## Revolutionary Vision
We're building an **AI Concierge Platform** that manages your entire digital life. Think "Jarvis from Iron Man" meets modern email service. Our AI analyzes your emails and services to proactively manage your life, detect conflicts, and provide intelligent suggestions.

## Core Innovation:
**AI Concierge = Our Main USP**
- Multi-LLM system: Route tasks to best/cheapest model for each job
- Smart email analysis: Extract events, deadlines, important info automatically
- Proactive conflict detection: "Meeting conflicts with doctor appointment"
- Cross-service intelligence: Email insights inform other services

## MVP Strategy:
**Phase 1**: Email + Basic AI Assistant (validate AI concept)
**Phase 2**: Advanced AI Concierge (multi-LLM routing, smart suggestions)
**Phase 3**: Multi-service integration (VPN, calendar, etc.)

## Technical Requirements

### Core Stack:
- **Backend**: Python (FastAPI) - optimal for multi-LLM integration
- **AI/ML**: Multi-LLM routing system (LLM via Openrouter)
- **Database**: Vector database (Pinecone/Weaviate) + PostgreSQL
- **Email API**: Mailgun/Resend for reliable email delivery
- **Frontend**: React/Next.js with real-time AI chat interface
- **Mobile**: React Native for instant AI notifications

### AI Development Expertise (CRITICAL):
- **Quality-Cost Optimization** - Balancing AI performance with operational efficiency
- **Dynamic Model Selection** - Real-time routing based on quality requirements
- **AI Performance Monitoring** - Tracking quality metrics across different models
- **Email/Data Processing** - Complex email content parsing with high accuracy
- **Vector Databases** - Semantic search and content indexing
- **Quality-Aware Systems** - Building AI that prioritizes user satisfaction
- **Full-stack AI Applications** - Complete AI product development with quality focus

### Modern Development Tools:
- **AI-Assisted Coding**: GitHub Copilot, Claude, Cursor for rapid development
- **LLM API Management**: Experience with multiple model providers
- **Cost monitoring**: Track LLM usage and optimize spend

## Project Scope

### Phase 1 - Email + Basic AI:
**Email Foundation:**
- Clean email service (send/receive via Mailgun)
- Modern web interface with AI chat sidebar
- Mobile-responsive design

**Basic AI Concierge:**
- Multi-LLM routing system (LLM1 for analysis, LLM2 for summaries)
- Email summarization and priority detection
- Simple AI commands and natural language queries
- Context-aware responses

**Smart LLM Architecture:**
- Quality-first approach with cost optimization
- Vector database for efficient email search
- Background processing for email analysis

### Phase 2 - Smart AI Concierge:
**Advanced AI Features:**
- **Dynamic LLM Selection**: Real-time model selection for optimal quality-to-cost ratio
- **Context-aware routing** balancing performance and efficiency
- **Quality-first approach** with cost optimization
- **Smart escalation chains** when quality matters most

**Quality-First Model Selection:**
- Real-time quality-cost analysis for model selection
- Performance monitoring and quality score tracking
- Smart escalation when quality thresholds aren't met
- User satisfaction optimization with cost awareness

### Phase 3 - Multi-Service Integration:
**VPN Integration Preparation:**
- Database schema for VPN service integration
- User model extension for service permissions
- API endpoints planning for future VPN connection
- Architecture documentation for seamless service addition

## AI Concierge Use Cases

### Email Intelligence Examples:
```
📧 Bills & Finance:
"Your electricity bill is due in 3 days, but I notice you're traveling.
Set up auto-pay or pay now?"

📧 Health & Appointments:
"Lab results came in - everything normal. Your next checkup is in 2 months,
should I remind you to schedule?"

📧 Work & Deadlines:
"Project deadline moved to Friday, but you have 3 meetings that day.
Suggest rescheduling the 2PM call?"

📧 Social & Events:
"Wedding RSVP due tomorrow. Based on your calendar, you're free that weekend.
Should I confirm attendance?"

📧 Shopping & Subscriptions:
"Amazon package delayed, but you ordered it for tomorrow's party.
Want me to find same-day delivery alternatives?"

📧 Family & Personal:
"Mom's birthday is next week. Last year you sent flowers on Tuesday.
Similar gift this year or try something new?"
```

### Smart Automation Examples:
```
📊 Email Categorization:
- Bills → Auto-extract amounts, due dates
- Appointments → Add to calendar, set reminders
- Receipts → Track expenses, warranty info
- Social → Priority based on relationship strength

🔔 Proactive Notifications:
- "Credit card statement shows unusual spending in restaurants - reviewing budget?"
- "Three job applications sent last month, no responses yet. Time to follow up?"
- "Gym membership expires next month, but you haven't been in 3 weeks"

🎯 Context-Aware Suggestions:
- "Working late again? Your dinner reservation is in 2 hours"
- "Ordered coffee machine, but also signed up for coffee subscription yesterday"
- "Meeting with John tomorrow - here's context from your last 3 conversations"
```

### Dynamic Multi-LLM Routing:
```
Quality-First Model Selection → Optimal Cost-Performance Balance:

"Summarize my emails"
→ Llama 4 delivers 95% quality at $0.0001/1k tokens ✅

"I have a complex schedule conflict with multiple meetings and travel"
→ GPT-4 needed for 98% accuracy on complex reasoning ($0.03/1k tokens)
→ DeepSeek might only achieve 75% accuracy - quality gap too large ❌

"Quick question about my Amazon order"
→ DeepSeek delivers 90% quality at $0.0002/1k tokens ✅

"Help me write a sensitive email to my boss about promotion"
→ GPT-4 required for nuanced communication (quality critical) ✅
→ Cheaper models risk career-damaging mistakes ❌

Quality-Cost Decision Matrix:
- High-stakes situations: Quality trumps cost (use best model)
- Routine tasks: Cost-effective models that maintain acceptable quality
- User satisfaction: Monitor response quality scores per model
- Smart fallback: Auto-escalate if cheaper model fails quality threshold
- A/B testing: Continuously optimize model selection algorithms
```

## Ideal Developer/Agency Profile:

### Must Have Experience:
- **Quality-Cost Optimization** - Balancing AI performance with operational efficiency
- **Dynamic Model Selection** - Real-time routing based on quality requirements
- **AI Performance Monitoring** - Tracking quality metrics across different models
- **Email/Data Processing** - Complex email content parsing with high accuracy
- **Vector Databases** - Semantic search and content indexing
- **Quality-Aware Systems** - Building AI that prioritizes user satisfaction
- **Full-stack AI Applications** - Complete AI product development with quality focus

### Bonus Expertise:
- Personal assistant/productivity app development
- Natural language processing for personal data
- Cost optimization for AI/ML systems
- Background job processing systems
- Mobile AI app development

## Application Requirements:

### Must Include:
1. **Multi-LLM Portfolio**:
- Experience with multiple AI model providers
- Cost optimization strategies you've implemented
- Performance comparisons between different LLMs

2. **Technical Architecture**:
- How would you design the multi-LLM routing system?
- Cost-effective AI processing architecture
- Real-time AI response system design
- Background email analysis workflow

3. **AI Development Approach**:
- Task-specific LLM selection strategy
- Vector database setup and optimization
- Context management for conversational AI
- Cost monitoring and optimization methods

4. **Practical Examples**:
- Show examples of AI task routing you've built
- Demonstrate understanding of different LLM strengths
- Cost analysis of different AI approaches

## Key AI Features Checklist:

### Email Intelligence:
- [ ] Multi-LLM email analysis system
- [ ] Automatic categorization and priority detection
- [ ] Contact relationship mapping
- [ ] Content extraction (dates, amounts, deadlines)

### Intelligent Assistance:
- [ ] Conflict detection across different life areas
- [ ] Proactive suggestion generation
- [ ] Context-aware conversation memory
- [ ] Smart notification timing

### Quality-Optimized Dynamic AI:
- [ ] Real-time quality-cost analysis for model selection
- [ ] Performance monitoring and quality score tracking
- [ ] Smart escalation when quality thresholds aren't met
- [ ] User satisfaction optimization with cost awareness

### User Experience:
- [ ] Natural language email queries
- [ ] Real-time AI responses
- [ ] Learning user preferences
- [ ] Cross-service intelligence

## Critical Questions:
1. **Quality-cost optimization** - How do you balance AI quality with operational costs?
2. **Model performance tracking** - Show examples of quality monitoring systems you've built
3. **Smart escalation logic** - When and how do you automatically upgrade to better models?
4. **Quality threshold management** - How do you ensure minimum quality standards per task type?
5. **A/B testing for AI** - Experience with optimizing model selection based on user satisfaction?
6. **Practical examples** - Demonstrate quality-cost decision making in previous AI projects

## Success Metrics:
- **Optimal quality-cost balance** - Maximum user satisfaction at sustainable costs
- **Quality-first user experience** - AI that never compromises on critical tasks
- **Smart cost optimization** - Efficient spending without sacrificing quality
- **Performance monitoring** - Continuous quality improvement across all models
- **Scalable quality standards** - Consistent excellence as user base grows

**This is not just another email service - we're building the future of AI-powered personal assistance with smart cost optimization.**

---

*Only apply if you have real multi-LLM integration experience. Show us your AI portfolio and cost optimization strategies.*

We’re looking for a talented AI Agent Developer who loves building smart, conversational AI assistants. If you’re passionate about creating voice and text-based AI that feels natural and helpful, this role is for you! You’ll work with the latest AI models (like GPT-4 and Claude), design engaging chatbots, and integrate voice tech (such as 11Labs and Whisper) to make interactions seamless.

What You’ll Do:
- Build AI-powered chatbots and voice assistants that understand and respond like a human.
- Use LLMs (GPT-4, Claude) and NLP to improve conversations, making them smoother and more intuitive.
- Connect AI workflows with tools like n8n and AWS Lambda to automate tasks efficiently.
- Add voice recognition and speech synthesis (like 11Labs and Google TTS) for a richer user experience.
- Work with frontend and backend teams to bring AI features to websites, apps, and voice platforms.
- Optimize AI agents for industries like Real Estate, E-commerce, and Customer Support.
- Keep improving AI performance based on real user feedback.

What You Bring:
- 5+ years of experience in AI/ML, especially in chatbots, NLP, and conversational AI.
- Strong skills in Python, JavaScript, and frameworks like LangChain and FastAPI.
- Experience with voice AI tools (Whisper, 11Labs) and automation platforms (n8n, Zapier).
- Knowledge of vector databases (Pinecone, FAISS) and cloud services (AWS, GCP).

Bonus Points If You Have:
- Experience with AI video tools (RunwayML, Synthesia).
- Some frontend skills (Tailwind, Material UI).
- Experience working in Agile teams with designers and product managers.

We're looking for an N8N, workflow automation, JSON expert that loves helping solve business problems with intelligent workflows, and has great attention to detail, dedication and committment to not just delivering systems but testing them to ensure they work end to end. The right person will enjoy being part of a collaborative team and the go-to expert on this topic for us.

The bot is to ideally work on ctrader with the bot written in ctraders built in platform cbot. Potential returns after optimisation to aim for 7-11% ROI YoY. Running times will be established after optimisation due to manual back testing playing a large part in the success of the bot.

The idea of the bot is that it is actively monitors the prices points of some of the most popular technical analysis (TA) tools and indicators.
Each TA and indicator is assigned as being either major or minor. Each one is considered a confluence.

The bot will actively monitor for when the different major and minor confluences become within a set price range of each other. The alignment in price of multiple confluences at once is what creates a trade signal.

The bot should draw technical analysis precisely to specific parameters to avoid false readings

Ideally the bot will have the capability of being “customisable” possibly through a user interface. This aspect should allow for the bot to only search for specific major and minor confluences that are selected. This will allow for intensive back testing.

Parameters for position sizing, stop loss levels and take profit levels should be fixed but customisable. Trades should exit upon a trade signal for a counter position.

About the Role:
We’re looking for a skilled and solution-oriented developer to help us build or integrate a system that syncs inventory and sales data across multiple e-commerce platforms — including Shopee, Lazada, TikTok Shop, our website, and any future channels.

Your job is to create a centralized, automated platform where we can track real-time inventory, orders, and sales from all marketplaces we operate on — saving us time, avoiding overselling, and streamlining operations.

Responsibilities:
Develop or customize a system to connect and sync data from various sales platforms (via APIs, plugins, or custom scripts)

Integrate platforms such as Shopee, Lazada, TikTok Shop, WooCommerce/Shopify, etc.

Automate inventory updates, order tracking, and sales reporting

Troubleshoot issues with data syncing or platform connectivity

Create dashboards or reports for real-time sales and inventory tracking

Ensure data accuracy and prevent overselling or stock discrepancies

Requirements
Experience with API integration (RESTful APIs, Webhooks, etc.)

Proficiency in a programming language (e.g. Python, PHP, JavaScript, or similar)

Familiarity with e-commerce platforms (Shopee, Lazada, etc.)

Experience working with databases (e.g. MySQL, PostgreSQL)

Ability to work independently, solve problems, and deliver scalable solutions

Bonus if you have:
Worked with ERP or inventory management systems

Built custom e-commerce dashboards or admin tools

Experience with Shopify, WooCommerce, or other webstore platforms

Familiarity with warehouse management and logistics tech

Peer is an AI-powered platform for medical writing and document generation. Many of our users prefer Microsoft Word, so we're exploring the development of a Word Add-In to bring our capabilities directly into their existing workflow.

We're looking for an experienced Microsoft Word Add-In developer to consult with our team, scope the best approach, and help build an initial prototype.

What You’ll Do:
-Meet with our product and engineering team to understand our current platform
-Advise on technical feasibility, UX best practices, and Office.js capabilities
-Help define the MVP scope for a functional Word Add-In
-Build a working prototype that connects to our platform APIs

Ideal Experience:
-Strong expertise in Office Add-Ins (Word, Office.js)
-Comfortable with frontend development (JS/TS, React or similar)
-API integration (OAuth2, REST)
-Bonus: Experience with AI tools or document automation
-Bonus: Understanding of medical or scientific writing workflows

Timeline & Budget:
We’re aiming to move quickly. Flexible budget for the right collaborator.

To Apply:
Send examples of Word Add-Ins you’ve built and let us know your availability for an intro call.

**Location:** Sydney, Australia
**Employment Type:** Full Time

We believe work doesn’t have to be slow or uninspiring. But making meaningful change in any industry is tough — and we’re going to need great people to help us do it.

### About Us

We’re a fast-growing Australian company working on complex problems with a simple goal: make things work better for customers and businesses alike. We do this by combining design, technology, and operational know-how to create great user experiences and internal tools that scale.

Founded in 2019, we’ve served hundreds of thousands of users globally. Our work spans multiple brands and business units, and we’re powered by a distributed team across Australia and overseas.

We’re backed by top-tier investors, and we’re expanding into new markets and product areas.

### About the Role

We’re looking for a **Senior Fullstack Software Engineer** to join our engineering team. You’ll be part of a high-performing, collaborative team working across both product and internal tools.

**You will:**

* Help shape the architecture of robust and scalable systems
* Work closely with product, design, operations, and other business functions
* Build customer-facing products as well as internal tools for our team
* Balance rapid prototyping with stability, modularity, and security
* Mentor other engineers and contribute to a strong engineering culture

### About You

* You’re a problem solver who thrives in fast-paced environments
* You enjoy shaping product direction and contributing beyond just code
* You’re a strong communicator, comfortable with ambiguity and iteration
* You’ve worked in startups, scale-ups, or tech-led businesses
* You’re a fullstack engineer, with solid experience in at least one area (frontend/backend)
* You’ve led projects end-to-end, from discovery to deployment and monitoring
* You write clean, maintainable code and value thoughtful feedback

### Why Join Us?

* **Lean team, big impact:** You’ll help shape what we build and how we build it
* **Fast shipping culture:** We deploy often and move quickly
* **Modern stack:** React, TypeScript, Node, Go, GraphQL, GCP — and we keep improving

The ideal candidate will have strong experience with Office.js, Microsoft 365 integrations, and cloud backend development using Azure Functions. Experience with Microsoft Graph and AI/NLP services is highly desirable. Background working with education or public sector clients is a plus.

🔧 Key Responsibilities:
Develop a Microsoft Outlook add-in compatible with both desktop (Windows) and web clients

Build a clean, intuitive front-end UI using React, Vue, or a similar framework with Office.js

Design and build scalable, serverless back-end services using Azure Functions

Integrate with Microsoft Graph API, Azure Active Directory (AAD) authentication, and cloud storage like SharePoint or OneDrive

Develop customizable dashboards for administrators to monitor activity, view tagging history, and manage configurations

Incorporate AI-powered natural language processing (NLP) services for content scanning and classification

Ensure secure authentication, user preferences management, and compliance with data privacy standards

✅ Must-Have Skills:
Proven experience with Office.js or VSTO add-in development

Strong front-end skills with JavaScript, TypeScript, React, Vue, or similar

Back-end development experience with Azure Functions and serverless architecture

Microsoft Graph API integration expertise

Experience with secure authentication protocols (OAuth 2.0, MSAL)

Experience developing Outlook add-ins for both desktop and web platforms

🌟 Nice-to-Have:
Familiarity with K–12 compliance requirements

Experience with Power Automate, SharePoint Online, or Microsoft Teams integrations

Background in building SaaS tools or MVP products

Strong communication skills to work effectively with non-technical stakeholders

I am looking for a skilled developer to assist in building a web application. The ideal candidate will have experience with both front-end and back-end development, ensuring a seamless user experience. You will collaborate closely with me to define features, design interfaces, and implement functionality. If you are passionate about web development and can deliver high-quality work within deadlines, I would love to hear from you. Please include examples of your previous work in your application.

We are seeking an experienced full-stack developer to help us transition our project from MVP to a scalable production-ready application. Your expertise will specifically involve working with Lovable.dev and Supabase to build robust features and ensure seamless integration. The ideal candidate will have a strong background in both frontend and backend development and be able to collaborate effectively with our team to meet project deadlines. If you're passionate about building innovative solutions and have experience in scaling applications, we would love to hear from you!