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.
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:
- File Validation: Format validation, size checks, security scanning
- Schema Analysis: Column detection, type inference, relationship mapping
- Transformation Engine: AI-guided data operations with rollback capability
- Quality Assurance: Automated testing against specified criteria
- 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:
- Prompt Analysis: NLP preprocessing, intent classification, safety filtering
- Model Selection: Dynamic routing based on prompt characteristics and quality requirements
- Generation Engine: Multi-stage diffusion process with guidance control
- Post-Processing: Upscaling, color correction, format optimization
- 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
- Access Apps: Visit studio.theanswer.ai
- API Access: Generate API keys in your dashboard
- Documentation: Explore specific app endpoints in our API Reference
- Support: Join our Discord community for technical support