Answer Agent Apps Documentation

Answer Agent Apps are modular, AI-powered applications built on top of our Flowise infrastructure. Each app leverages specific AI models and processing pipelines to solve targeted business problems.

Marketing Overview

For a comprehensive overview of our apps with demos and use cases, visit our Apps Marketing Page.

Architecture Overview

Answer Agent Apps follow a microservice architecture pattern where each app:

• Operates independently with its own processing pipeline
• Shares common infrastructure (authentication, storage, monitoring)
• Utilizes specialized AI models optimized for specific tasks
• Provides RESTful APIs for integration with external systems

Current Apps

CSV Transformer

Technical Stack: Python pandas, OpenAI GPT-4, custom data validation pipelines

The CSV Transformer leverages natural language processing and structured data algorithms to intelligently clean, transform, and validate CSV data.

Core Features:

• Schema Detection: Automatic column type inference and validation
• Data Cleaning: Null handling, duplicate detection, format standardization
• AI-Powered Transformations: Natural language descriptions converted to pandas operations
• Validation Rules: Configurable data quality checks and constraints

API Endpoints:

POST /api/v1/csv-transformer/upload
POST /api/v1/csv-transformer/transform
GET  /api/v1/csv-transformer/status/{job_id}
GET  /api/v1/csv-transformer/download/{job_id}

Processing Pipeline:

1. File Validation: Format validation, size checks, security scanning
2. Schema Analysis: Column detection, type inference, relationship mapping
3. Transformation Engine: AI-guided data operations with rollback capability
4. Quality Assurance: Automated testing against specified criteria
5. Export Generation: Multiple format outputs (CSV, Excel, JSON, Parquet)

Image Creator

Technical Stack: DALL-E 3, Stable Diffusion XL, custom fine-tuned models, CDN delivery

The Image Creator combines multiple state-of-the-art generative AI models with intelligent prompt engineering and post-processing pipelines.

Core Capabilities:

• Text-to-Image Generation: Multi-model ensemble for optimal results
• Style Transfer: Neural style transfer using VGG-based architectures
• Image Enhancement: Super-resolution, noise reduction, artifact removal
• Batch Processing: Queue-based generation for multiple images

API Endpoints:

POST /api/v1/image-creator/generate
POST /api/v1/image-creator/enhance
POST /api/v1/image-creator/style-transfer
GET  /api/v1/image-creator/job/{job_id}

Generation Pipeline:

1. Prompt Analysis: NLP preprocessing, intent classification, safety filtering
2. Model Selection: Dynamic routing based on prompt characteristics and quality requirements
3. Generation Engine: Multi-stage diffusion process with guidance control
4. Post-Processing: Upscaling, color correction, format optimization
5. Content Delivery: CDN-optimized delivery with progressive loading

Supported Formats: PNG, JPEG, WebP, SVG (vector outputs) Resolution Options: 512x512, 1024x1024, 1536x1536, 2048x2048

Apps in Development

Call Analysis (Q2 2025)

Technical Foundation: Whisper ASR, GPT-4 Turbo, custom NER models, real-time streaming

• Speech Recognition: Multi-language ASR with custom vocabulary adaptation
• Sentiment Analysis: Real-time emotion detection using fine-tuned transformers
• Entity Extraction: Custom NER for business-specific terminology
• Integration: Webhooks for CRM systems, calendar applications

Ticket Analysis (Q2 2025)

Technical Foundation: BERT-based classification, priority scoring algorithms, knowledge graphs

• Auto-Classification: Multi-label ticket categorization with confidence scoring
• Priority Routing: ML-based urgency prediction and agent matching
• Knowledge Mining: Automated solution extraction from historical tickets
• API Integration: Zendesk, ServiceNow, Jira Service Management connectors

Video Creation (Q3 2025)

Technical Foundation: RunwayML, stable video diffusion, custom synthesis pipelines

• Text-to-Video: Prompt-based video generation with scene composition
• Avatar Generation: Custom spokesperson creation with voice synthesis
• Template Engine: Configurable video templates for marketing workflows
• Multi-format Export: MP4, WebM, GIF with compression optimization

Agent Builder (Q4 2025)

Technical Foundation: Flowise visual editor, LangChain integration, containerized deployment

• Visual Workflow Designer: Drag-and-drop agent configuration interface
• Multi-LLM Support: Provider-agnostic model switching and fallback chains
• Custom Connectors: API integration builder with authentication handling
• Deployment Pipeline: One-click deployment to cloud or on-premise environments

Company Dashboards (Q1 2026)

Technical Foundation: Time-series databases, real-time analytics, custom visualization engine

• Data Aggregation: Multi-source data connectors with ETL pipelines
• Predictive Analytics: Trend analysis and forecasting models
• Custom Visualizations: Interactive charts with drill-down capabilities
• Role-based Access: Granular permissions and data filtering

Integration & Deployment

Authentication

All apps use the centralized AnswerAI authentication system supporting:

• OAuth 2.0 / OpenID Connect
• API key authentication
• Role-based access control (RBAC)
• Multi-tenant isolation

Deployment Options

• Cloud Hosted: Managed infrastructure with auto-scaling
• On-Premise: Self-hosted deployment with Docker/Kubernetes
• Hybrid: Edge computing for sensitive data processing

Monitoring & Observability

• Performance Metrics: Request latency, throughput, error rates
• Cost Tracking: Per-app usage monitoring and billing
• Audit Logging: Complete activity trails for compliance
• Health Checks: Automated monitoring with alerting

Getting Started

1. Access Apps: Visit studio.theanswer.ai
2. API Access: Generate API keys in your dashboard
3. Documentation: Explore specific app endpoints in our API Reference
4. Support: Join our Discord community for technical support