Provider Selection Wizard

Last Updated: January 1, 2026 NeuroLink Version: 8.29.0

Interactive guide to help you select the perfect AI provider for your specific needs. This wizard considers your requirements, constraints, and priorities to recommend the optimal provider configuration.

Quick Start: 5-Question Provider Selector

Answer these 5 questions to get an instant recommendation:

Question 1: What's your primary constraint?

A) Budget → Google AI Studio (FREE tier) B) Privacy → Ollama (100% local) C) Quality → OpenAI or Anthropic D) Compliance → Azure OpenAI or Bedrock

Question 2: Do you need extended thinking?

Yes → Anthropic (best) or Google AI Studio (free) No → Continue to Question 3

Question 3: Do you need PDF processing?

Yes → Anthropic or Google AI Studio or Vertex No → Continue to Question 4

Question 4: What's your existing cloud platform?

AWS → Amazon Bedrock Azure → Azure OpenAI GCP → Google Vertex None/Other → Continue to Question 5

Question 5: What's your experience level?

Beginner → Google AI Studio (easiest setup) Intermediate → OpenAI or Anthropic Advanced → Any provider (use decision tree below)

Detailed Provider Decision Tree

Step 1: Define Your Primary Goal

What's the MOST important factor for your project?

🎯 Cost Optimization → Go to Section A
🔒 Privacy & Security → Go to Section B
⚡ Performance & Quality → Go to Section C
📄 Document Processing → Go to Section D
🤖 Advanced Reasoning → Go to Section E
🏢 Enterprise Features → Go to Section F
🧪 Experimentation → Go to Section G

Section A: Cost Optimization

Scenario A1: Zero Budget (Completely Free)

Best Choice: Google AI Studio

FREE tier: 1M tokens/day
Professional quality (Gemini 2.5 Flash)
Extended thinking support
PDF processing included

Setup:

GOOGLE_AI_API_KEY=your_api_key
GOOGLE_AI_MODEL=gemini-2.5-flash

const result = await neurolink.generate({
  provider: "google-ai",
  prompt: "Your task",
});

Alternative: Ollama

Completely FREE (local execution)
No API key needed
Privacy-first
Requires local GPU

Scenario A2: Limited Budget ($50-$200/month)

Best Choice: Mistral

Competitive pricing ($0.20/$0.60 per 1M tokens for Small)
Good quality
GDPR compliant

Cost Example:

10M input tokens/month: $2.00
10M output tokens/month: $6.00
Total: $8/month

Setup:

MISTRAL_API_KEY=your_api_key
MISTRAL_MODEL=mistral-small-2506

Alternative: Google Vertex

Gemini 2.5 Flash: $0.35/$1.05 per 1M tokens
Extended thinking
PDF support

Scenario A3: Cost Optimization with Multiple Models

Best Choice: OpenRouter

Access to FREE models (Gemini 2.0 Flash, Llama 3.3 70B)
Pay only when you need premium models
Cost tracking built-in

Setup:

OPENROUTER_API_KEY=your_api_key

// Use free model for simple tasks
const simpleResult = await neurolink.generate({
  provider: "openrouter",
  model: "google/gemini-2.0-flash-exp:free",
  prompt: "Simple task",
});

// Use premium model for complex tasks
const complexResult = await neurolink.generate({
  provider: "openrouter",
  model: "anthropic/claude-3-5-sonnet",
  prompt: "Complex analysis",
});

Section B: Privacy & Security

Scenario B1: Maximum Privacy (No Cloud)

Best Choice: Ollama

100% local execution
No data sent to any server
Works offline
HIPAA/GDPR compliant by design

Setup:

# Install Ollama
curl -fsSL https://ollama.com/install.sh | sh

# Pull model
ollama pull llama3.1:8b

# Optional configuration
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=llama3.1:8b

Recommended Models:

llama3.1:8b - Fast, general purpose
llama3.1:70b - Higher quality (needs more RAM)
gemma3:9b - Google's lightweight model

Hardware Requirements:

Minimum: 8GB RAM, CPU only (slower)
Recommended: 16GB+ RAM, NVIDIA GPU
Optimal: 32GB+ RAM, RTX 3090/4090

Best Choice: Mistral

European data centers
GDPR compliant
No training on user data
Open-source models available

Compliance Features:

Data stored in EU
GDPR data processing agreement
Right to deletion
Data portability

Scenario B3: Enterprise Security (HIPAA + SOC2)

Best Choices:

Option 1: Azure OpenAI

Microsoft enterprise security
HIPAA BAA available
SOC2 certified
Enterprise SLAs

Option 2: Amazon Bedrock

AWS security features
HIPAA BAA available
SOC2 certified
Audit logging

Option 3: Google Vertex

GCP security
HIPAA BAA available
SOC2 certified
Data residency controls

Section C: Performance & Quality

Scenario C1: Highest Quality (No Compromises)

Best Choice: Anthropic Claude 4.5 Sonnet

Best reasoning capabilities
Extended thinking
200K context window
Native PDF support

Setup:

ANTHROPIC_API_KEY=your_api_key
ANTHROPIC_MODEL=claude-sonnet-4-5-20250929

const result = await neurolink.generate({
  provider: "anthropic",
  model: "claude-sonnet-4-5-20250929",
  prompt: "Complex reasoning task",
  thinkingLevel: "high",
});

When to Use:

Critical customer-facing features
Complex analysis requiring deep reasoning
Document-heavy workflows (PDF support)
Agentic workflows with multi-step tool use

Scenario C2: Best Vision Quality

Best Choice: Anthropic

20 images per request (highest)
Excellent vision understanding
Combined with text reasoning
PDF processing included

Code Example:

const result = await neurolink.generate({
  provider: "anthropic",
  input: {
    text: "Analyze these medical images",
    images: ["/path/to/scan1.jpg", "/path/to/scan2.jpg", "/path/to/scan3.jpg"],
  },
});

Alternative: OpenAI GPT-4o

Industry-leading vision
10 images per request
Fast inference
Good for general vision tasks

Scenario C3: Fastest Response Time

Best Choice: Ollama (Local)

50-200ms time to first token
No network latency
Streaming immediately available

Alternative: Google AI Studio

300-700ms TTFT
FREE tier
Professional quality

Section D: Document Processing

Scenario D1: PDF-Heavy Workflows

Best Choice: Anthropic

Native PDF understanding
No preprocessing required
Extracts text, tables, structure
Visual analysis of PDF pages

Setup:

const result = await neurolink.generate({
  provider: "anthropic",
  input: {
    text: "Analyze this contract",
    pdfFiles: ["/path/to/contract.pdf"],
  },
  thinkingLevel: "high",
});

Alternative: Google AI Studio

PDF support (Gemini models)
FREE tier
Extended thinking
Good for budget-conscious teams

Scenario D2: Mixed Documents (PDF + Images + Text)

Best Choice: Anthropic

Handles all formats natively
Up to 20 images + PDFs
Unified analysis

Code Example:

const result = await neurolink.generate({
  provider: "anthropic",
  input: {
    text: "Compare these documents",
    images: ["/path/to/diagram1.png", "/path/to/chart.jpg"],
    pdfFiles: ["/path/to/report.pdf", "/path/to/analysis.pdf"],
  },
});

Section E: Advanced Reasoning

Scenario E1: Extended Thinking Required

Best Choice: Anthropic

Native extended thinking (best)
Transparent reasoning process
Configurable thinking levels
Deep analysis capabilities

Setup:

const result = await neurolink.generate({
  provider: "anthropic",
  model: "claude-sonnet-4-5-20250929",
  prompt: "Solve this complex problem: ...",
  thinkingLevel: "high", // minimal | low | medium | high
});

Cost Impact:

Extended thinking increases token usage
High level: 2-3x more tokens
Medium level: 1.5-2x more tokens
Worth it for complex tasks

Alternative: Google AI Studio

Gemini 2.5+, Gemini 3 thinking
FREE tier available
Good for budget teams

Scenario E2: Multi-Step Tool Use (Agentic Workflows)

Best Choice: Anthropic

Advanced tool use
Parallel tool execution
Tool result caching
Best for agentic patterns

Code Example:

const neurolink = new NeuroLink({
  provider: "anthropic",
  model: "claude-sonnet-4-5-20250929",
});

// Register tools
neurolink.registerTool({
  name: "search_database",
  description: "Search customer database",
  parameters: z.object({
    query: z.string(),
  }),
  execute: async ({ query }) => {
    // Implementation
    return results;
  },
});

neurolink.registerTool({
  name: "send_email",
  description: "Send email to customer",
  parameters: z.object({
    to: z.string(),
    subject: z.string(),
    body: z.string(),
  }),
  execute: async ({ to, subject, body }) => {
    // Implementation
    return { sent: true };
  },
});

// Claude will automatically use tools in sequence
const result = await neurolink.generate({
  prompt: "Find customer John Doe and send him a follow-up email",
  maxSteps: 10, // Allow multi-step tool use
});

Section F: Enterprise Features

Scenario F1: AWS-Based Enterprise

Best Choice: Amazon Bedrock

Seamless AWS integration
IAM-based authentication
VPC endpoints available
CloudWatch logging
Multiple model providers

Setup:

AWS_ACCESS_KEY_ID=your_key
AWS_SECRET_ACCESS_KEY=your_secret
AWS_REGION=us-east-1
BEDROCK_MODEL=anthropic.claude-3-sonnet-20240229-v1:0

Benefits:

Use existing AWS account
Consolidated billing
Infrastructure as Code (Terraform/CDK)
Compliance certifications

Scenario F2: Azure-Based Enterprise

Best Choice: Azure OpenAI

Microsoft ecosystem integration
Azure AD authentication
Virtual network integration
Enterprise support

Setup:

AZURE_OPENAI_API_KEY=your_key
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com
AZURE_OPENAI_DEPLOYMENT=gpt-4o
AZURE_API_VERSION=2024-05-01-preview

Benefits:

Same models as OpenAI
Microsoft SLAs
Azure compliance
Integrated monitoring

Scenario F3: GCP-Based Enterprise

Best Choice: Google Vertex AI

Dual provider (Gemini + Claude)
GCP integration
Service account authentication
Stackdriver logging

Setup:

GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
VERTEX_PROJECT_ID=your-project
VERTEX_LOCATION=us-central1
VERTEX_MODEL=gemini-2.5-flash

Benefits:

Use both Gemini and Claude
GCP billing
Regional deployments
Vertex AI pipelines

Section G: Experimentation

Scenario G1: Testing Multiple Models

Best Choice: LiteLLM

Unified proxy for 100+ models
Cost tracking
A/B testing support
Load balancing

Setup:

# Start LiteLLM proxy
litellm --config config.yaml

# Configure NeuroLink
LITELLM_BASE_URL=http://localhost:4000
LITELLM_API_KEY=sk-anything

Config Example:

model_list:
  - model_name: gpt-4
    litellm_params:
      model: openai/gpt-4o
      api_key: sk-openai-key

  - model_name: claude
    litellm_params:
      model: anthropic/claude-3-5-sonnet
      api_key: sk-ant-key

  - model_name: gemini
    litellm_params:
      model: vertex_ai/gemini-2.5-flash
      vertex_project: my-project

Usage:

// Test different models easily
const models = [
  "openai/gpt-4o",
  "anthropic/claude-3-5-sonnet",
  "google/gemini-2.5-flash",
];

for (const model of models) {
  const result = await neurolink.generate({
    provider: "litellm",
    model,
    prompt: "Same test prompt",
  });
  console.log(`${model}: ${result.content}`);
}

Scenario G2: Research & Open Source Models

Best Choice: HuggingFace

100,000+ models
Cutting-edge research models
Community support
Free tier available

Setup:

HUGGINGFACE_API_KEY=hf_your_key
HUGGINGFACE_MODEL=meta-llama/Llama-3.1-8B-Instruct

Recommended Research Models:

meta-llama/Llama-3.1-70B-Instruct - Meta's flagship
mistralai/Mistral-7B-Instruct-v0.3 - Mistral open model
nvidia/Llama-3.1-Nemotron-Ultra-253B-v1 - NVIDIA enhanced

Real-World Use Case Examples

Use Case 1: Startup MVP (Budget: $0-100/month)

Recommendation: Google AI Studio

Why:

FREE tier (1M tokens/day)
Professional quality
Extended thinking
PDF support
Easy setup

Configuration:

GOOGLE_AI_API_KEY=your_key
GOOGLE_AI_MODEL=gemini-2.5-flash

Expected Costs:

Development: $0/month (free tier)
Production (low traffic): $0-$50/month
Scaling strategy: Move to Vertex AI when you outgrow free tier

Use Case 2: Healthcare Application (HIPAA Required)

Recommendation: Azure OpenAI

Why:

HIPAA BAA available
Enterprise security
Microsoft compliance
Audit logging

Setup Checklist:

✅ Sign Azure HIPAA BAA
✅ Configure Virtual Network
✅ Enable audit logging
✅ Set up Azure AD authentication
✅ Configure data residency

Configuration:

AZURE_OPENAI_API_KEY=your_key
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com
AZURE_OPENAI_DEPLOYMENT=gpt-4o

Use Case 3: Legal Document Analysis

Recommendation: Anthropic Claude 4.5 Sonnet

Why:

Extended thinking (deep analysis)
Native PDF support
200K context window (handle long documents)
Best reasoning quality

Configuration:

const neurolink = new NeuroLink({
  provider: "anthropic",
  model: "claude-sonnet-4-5-20250929",
});

const analysis = await neurolink.generate({
  input: {
    text: "Analyze this contract for risks and obligations",
    pdfFiles: ["/path/to/contract.pdf"],
  },
  thinkingLevel: "high",
  maxTokens: 150000, // Use large context
});

Use Case 4: Customer Support Chatbot (High Volume)

Recommendation: OpenRouter with Free Models

Why:

FREE models for common queries
Fallback to premium for complex cases
Cost tracking
Auto-failover

Configuration:

async function handleSupportQuery(query: string, complexity: string) {
  if (complexity === "simple") {
    // Use free model
    return await neurolink.generate({
      provider: "openrouter",
      model: "google/gemini-2.0-flash-exp:free",
      prompt: query,
    });
  } else {
    // Use premium model
    return await neurolink.generate({
      provider: "openrouter",
      model: "anthropic/claude-3-5-sonnet",
      prompt: query,
    });
  }
}

Expected Costs:

80% simple queries: $0 (free model)
20% complex queries: ~$50/month (premium)
Total: $50/month vs $250/month with all-premium

Use Case 5: Internal Tools (Privacy Sensitive)

Recommendation: Ollama (Local)

Why:

100% private (no cloud)
No ongoing costs
Works offline
Fast response

Setup:

# Install Ollama
curl -fsSL https://ollama.com/install.sh | sh

# Pull model
ollama pull llama3.1:70b

# Configure NeuroLink
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=llama3.1:70b

Deployment Options:

Development: Run on developer machines
Staging: Shared server with GPU
Production: Kubernetes cluster with GPU nodes

Provider Comparison Decision Matrix

Budget vs Quality Trade-off

High Quality
    │
    │  Anthropic Claude 4.5
    │  OpenAI GPT-4o
    │  ↑
    │  │
    │  │  Azure OpenAI
    │  │  Bedrock (Claude)
    │  │  ↑
    │  │  │
    │  │  │  Mistral Large
    │  │  │  Vertex (Gemini Pro)
    │  │  │  ↑
    │  │  │  │
    │  │  │  │  Google AI (Gemini Flash) ← FREE
    │  │  │  │  OpenRouter (free models) ← FREE
    │  │  │  │  ↑
    │  │  │  │  │
    │  │  │  │  │  Ollama ← FREE + Private
    │  │  │  │  │
    └──┴──┴──┴──┴──┴──────> Cost
   Free      $      $$     $$$

Features vs Complexity

Many Features
    │
    │  Amazon Bedrock (multi-provider)
    │  OpenRouter (300+ models)
    │  ↑
    │  │
    │  │  Google Vertex (Gemini + Claude)
    │  │  LiteLLM (100+ models)
    │  │  ↑
    │  │  │
    │  │  │  Anthropic (extended thinking + PDF)
    │  │  │  Google AI Studio (thinking + PDF + free)
    │  │  │  ↑
    │  │  │  │
    │  │  │  │  OpenAI (vision + tools)
    │  │  │  │  Azure OpenAI
    │  │  │  │  ↑
    │  │  │  │  │
    │  │  │  │  │  Mistral
    │  │  │  │  │  Ollama
    │  │  │  │  │
    └──┴──┴──┴──┴──┴──────> Setup Complexity
   Easy   Moderate    Complex

Common Migration Paths

Path 1: Prototype → Production

Phase 1 (Prototype): Google AI Studio (FREE)
    ↓
Phase 2 (Beta): Mistral (low cost)
    ↓
Phase 3 (Production): Anthropic (high quality)

Path 2: Cloud → Local

Phase 1: Cloud Provider (OpenAI, Anthropic)
    ↓
Phase 2: Test Ollama locally
    ↓
Phase 3: Full migration to Ollama (privacy + cost savings)

Path 3: Single → Multi-Provider

Phase 1: Single provider (e.g., OpenAI)
    ↓
Phase 2: Add LiteLLM proxy
    ↓
Phase 3: Route to optimal provider per task

Quick Reference Cards

Card 1: "I Need Something Fast"

Fastest Setup (2 minutes):

Google AI Studio - Just need API key
OpenAI - Industry standard
Mistral - European option

Get Started:

# Google AI Studio
export GOOGLE_AI_API_KEY=your_key

const result = await neurolink.generate({
  provider: "google-ai",
  prompt: "Your task",
});

Card 2: "I Have No Budget"

Free Options Ranked:

Google AI Studio - Best free option
- 1M tokens/day FREE
- Professional quality
- Extended thinking + PDF
Ollama - Completely free
- Local execution
- Privacy-first
- Requires GPU
OpenRouter - Free models available
- Gemini 2.0 Flash
- Llama 3.3 70B
- Many others

Card 3: "I Need Maximum Privacy"

Privacy-First Options:

Ollama (Best) - 100% local
Mistral - GDPR, EU data centers
Self-hosted OpenAI Compatible - Full control

Ollama Setup:

curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3.1:8b

Card 4: "I Need Extended Thinking"

Only 3 Providers:

Anthropic (Best) - Native extended thinking
Google AI Studio - Gemini 2.5+, 3 (FREE)
Google Vertex - Same as AI Studio (paid)

No other providers support extended thinking

Final Recommendation Algorithm

Answer YES/NO to each question:

Do you have ZERO budget?
- YES → Google AI Studio or Ollama
- NO → Continue
Do you need HIPAA/enterprise compliance?
- YES → Azure OpenAI or Bedrock
- NO → Continue
Do you need extended thinking?
- YES → Anthropic (best) or Google AI Studio (free)
- NO → Continue
Do you need PDF processing?
- YES → Anthropic or Google AI Studio
- NO → Continue
Are you on AWS/Azure/GCP?
- AWS → Bedrock
- Azure → Azure OpenAI
- GCP → Vertex
- None → Continue
Do you need maximum privacy?
- YES → Ollama (local)
- NO → Continue
Do you want the absolute best quality?
- YES → OpenAI or Anthropic
- NO → Mistral or Google AI Studio

Still Unsure? Default Recommendations

For Most Teams

Start with Google AI Studio

FREE tier
Easy setup
Professional quality
Upgrade path to Vertex

For Enterprises

Start with your cloud provider's offering

AWS → Bedrock
Azure → Azure OpenAI
GCP → Vertex

For Developers

Start with NeuroLink + LiteLLM

Test multiple providers
Compare results
Optimize costs
Make informed decision

Next Steps

Read: Provider Comparison Guide
Audit: Provider Capabilities
Setup: Follow provider-specific setup guide
Test: Run sample requests with your use case
Monitor: Track costs and performance
Optimize: Adjust based on real-world usage

Need Help?

Contact Options:

Documentation: docs/
GitHub Issues: Report bugs or ask questions
Community: Join discussions

Professional Support:

Enterprise consulting available
Custom provider integration
Performance optimization
Migration assistance

Remember: With NeuroLink, you're never locked into a single provider. You can easily switch or use multiple providers simultaneously. Start with the recommendation above, monitor your usage, and adjust as needed.

Quick Start: 5-Question Provider Selector​

Question 1: What's your primary constraint?​

Question 2: Do you need extended thinking?​

Question 3: Do you need PDF processing?​

Question 4: What's your existing cloud platform?​

Question 5: What's your experience level?​

Detailed Provider Decision Tree​

Step 1: Define Your Primary Goal​

Section A: Cost Optimization​

Scenario A1: Zero Budget (Completely Free)​

Scenario A2: Limited Budget ($50-$200/month)​

Scenario A3: Cost Optimization with Multiple Models​

Section B: Privacy & Security​

Scenario B1: Maximum Privacy (No Cloud)​

Scenario B2: Cloud with GDPR Compliance​

Scenario B3: Enterprise Security (HIPAA + SOC2)​

Section C: Performance & Quality​

Scenario C1: Highest Quality (No Compromises)​

Scenario C2: Best Vision Quality​

Scenario C3: Fastest Response Time​

Section D: Document Processing​

Scenario D1: PDF-Heavy Workflows​

Scenario D2: Mixed Documents (PDF + Images + Text)​

Section E: Advanced Reasoning​

Scenario E1: Extended Thinking Required​

Scenario E2: Multi-Step Tool Use (Agentic Workflows)​

Section F: Enterprise Features​

Scenario F1: AWS-Based Enterprise​

Scenario F2: Azure-Based Enterprise​

Scenario F3: GCP-Based Enterprise​

Section G: Experimentation​

Scenario G1: Testing Multiple Models​

Scenario G2: Research & Open Source Models​

Real-World Use Case Examples​

Use Case 1: Startup MVP (Budget: $0-100/month)​

Use Case 2: Healthcare Application (HIPAA Required)​

Use Case 3: Legal Document Analysis​

Use Case 4: Customer Support Chatbot (High Volume)​

Use Case 5: Internal Tools (Privacy Sensitive)​

Provider Comparison Decision Matrix​

Budget vs Quality Trade-off​

Features vs Complexity​

Common Migration Paths​

Path 1: Prototype → Production​

Path 2: Cloud → Local​

Path 3: Single → Multi-Provider​

Quick Reference Cards​

Card 1: "I Need Something Fast"​

Card 2: "I Have No Budget"​

Card 3: "I Need Maximum Privacy"​

Card 4: "I Need Extended Thinking"​

Final Recommendation Algorithm​

Still Unsure? Default Recommendations​

For Most Teams​

For Enterprises​

For Developers​

Next Steps​

Need Help?​

Quick Start: 5-Question Provider Selector

Question 1: What's your primary constraint?

Question 2: Do you need extended thinking?

Question 3: Do you need PDF processing?

Question 4: What's your existing cloud platform?

Question 5: What's your experience level?

Detailed Provider Decision Tree

Step 1: Define Your Primary Goal

Section A: Cost Optimization

Scenario A1: Zero Budget (Completely Free)

Scenario A2: Limited Budget ($50-$200/month)

Scenario A3: Cost Optimization with Multiple Models

Section B: Privacy & Security

Scenario B1: Maximum Privacy (No Cloud)

Scenario B2: Cloud with GDPR Compliance

Scenario B3: Enterprise Security (HIPAA + SOC2)

Section C: Performance & Quality

Scenario C1: Highest Quality (No Compromises)

Scenario C2: Best Vision Quality

Scenario C3: Fastest Response Time

Section D: Document Processing

Scenario D1: PDF-Heavy Workflows

Scenario D2: Mixed Documents (PDF + Images + Text)

Section E: Advanced Reasoning

Scenario E1: Extended Thinking Required

Scenario E2: Multi-Step Tool Use (Agentic Workflows)

Section F: Enterprise Features

Scenario F1: AWS-Based Enterprise

Scenario F2: Azure-Based Enterprise

Scenario F3: GCP-Based Enterprise

Section G: Experimentation

Scenario G1: Testing Multiple Models

Scenario G2: Research & Open Source Models

Real-World Use Case Examples

Use Case 1: Startup MVP (Budget: $0-100/month)

Use Case 2: Healthcare Application (HIPAA Required)

Use Case 3: Legal Document Analysis

Use Case 4: Customer Support Chatbot (High Volume)

Use Case 5: Internal Tools (Privacy Sensitive)

Provider Comparison Decision Matrix

Budget vs Quality Trade-off

Features vs Complexity

Common Migration Paths

Path 1: Prototype → Production

Path 2: Cloud → Local

Path 3: Single → Multi-Provider

Quick Reference Cards

Card 1: "I Need Something Fast"

Card 2: "I Have No Budget"

Card 3: "I Need Maximum Privacy"

Card 4: "I Need Extended Thinking"

Final Recommendation Algorithm

Still Unsure? Default Recommendations

For Most Teams

For Enterprises

For Developers

Next Steps

Need Help?