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Key Features

• Create and edit prompt templates with variable placeholders
• Version history with diff comparison
• Organize prompts with tags and categories
• Test prompts directly against configured AI models
• Import and export prompt libraries

How to Use

1. 1Navigate to Prompts from the sidebar
2. 2Click 'New Prompt' to create a template
3. 3Use {{variable}} syntax for dynamic placeholders
4. 4Add tags to organize prompts by project or use case
5. 5Use the 'Test' button to run the prompt against your configured LLM
6. 6View version history to compare changes over time

Key Features

• Define custom tools with JSON schemas
• Configure API endpoints for tool execution
• Set authentication and headers per tool
• Test tool invocations with sample inputs
• Share tools across multiple agents

How to Use

1. 1Go to Tools in the sidebar
2. 2Click 'New Tool' and define the tool's name and description
3. 3Specify the input schema (parameters the tool accepts)
4. 4Configure the execution endpoint or handler
5. 5Test the tool with sample data before attaching to agents
6. 6Assign tools to agents in the Agent Builder

Key Features

• Compose skills from prompts, tools, and instructions
• Reuse skills across multiple agents
• Version and publish skills to the Hub
• Configure skill parameters and defaults

How to Use

1. 1Navigate to Skills from the sidebar
2. 2Click 'New Skill' to start creating
3. 3Define the skill's purpose, instructions, and required tools
4. 4Set input/output parameters
5. 5Attach the skill to agents via Agent Builder
6. 6Optionally publish to the Hub for team sharing

Key Features

• Define content filtering rules
• PII detection and masking
• Custom regex-based filters
• PHI (Protected Health Information) guardrails
• Apply guardrails to specific agents or globally

How to Use

1. 1Go to Guardrails in the sidebar
2. 2Create a new guardrail rule
3. 3Choose the type: content filter, PII detector, regex pattern, or PHI
4. 4Configure the action (block, warn, or mask)
5. 5Assign the guardrail to agents or set as global default
6. 6Test with sample inputs to verify behavior

Key Features

• Create and edit domain ontologies
• Define entities, relationships, and attributes
• Visual graph editor for ontology modeling
• Import ontologies from standard formats
• Use ontologies to enrich agent context

How to Use

1. 1Navigate to Ontologies in the sidebar
2. 2Create a new ontology or import an existing one
3. 3Define entities (nodes) with their properties
4. 4Create relationships between entities
5. 5Use the visual editor to arrange and connect concepts
6. 6Reference ontologies in agent configurations for domain-aware responses

Key Features

• Visual drag-and-drop agent designer
• Three agent types: Simple, React (with tools), Deep (orchestrator)
• Attach tools, skills, and guardrails
• Configure LLM provider and model per agent
• YAML-based configuration (import/export)
• Built-in tools: web search, web fetch, JSON output

How to Use

1. 1Go to Agents in the sidebar
2. 2Click 'New Agent' and choose a type (Simple, React, or Deep)
3. 3Configure the system prompt and instructions
4. 4Add tools from your Tool Library
5. 5Set the LLM provider and model
6. 6Drag nodes on the canvas to define the agent's workflow
7. 7Save and test in the Agent Playground

Key Features

• Chat interface for testing agents
• Real-time tool call visualization
• Step-by-step execution trace
• Compare agent responses side by side
• Save test conversations for regression testing

How to Use

1. 1Navigate to Playground from the sidebar
2. 2Select an agent from the dropdown
3. 3Type a message and observe the agent's response
4. 4Watch tool calls and reasoning steps in the execution trace
5. 5Adjust agent settings and re-test without leaving the playground

Key Features

• Browse curated agents and plugins
• One-click install and update
• Trust badges and certification indicators
• Star ratings and community reviews
• Automatic update checks every 15 minutes

How to Use

1. 1Go to Hub in the sidebar
2. 2Browse categories or search for specific packages
3. 3Click on a package to see details, reviews, and documentation
4. 4Click 'Install' to add it to your workspace
5. 5Installed agents appear in Agent Builder; plugins activate automatically
6. 6Check for updates via the notification badge

Key Features

• Create document collections from multiple sources
• Upload PDFs, Word docs, text files, and web pages
• Semantic search with vector embeddings
• Conversational Q&A with source citations
• Configurable embedding and LLM models
• Background ingestion with progress tracking

How to Use

1. 1Navigate to Ask PeerAI from the sidebar
2. 2Create a new Collection to organize your documents
3. 3Add Sources: upload files, paste URLs, or connect to web content
4. 4Wait for the ingestion job to complete (progress shown in real-time)
5. 5Switch to the Chat tab and ask questions about your documents
6. 6Click on source citations to see the original context
7. 7Configure embedding model and chunk size in Settings

Key Features

• Clone and analyze Git repositories
• Auto-generate architecture diagrams (Mermaid)
• File tree visualization with tech stack detection
• AI-generated documentation for modules and functions
• Interactive code exploration
• Bubble chart for codebase complexity

How to Use

1. 1Go to Code Insights in the sidebar
2. 2Click 'New Analysis' and paste a Git repository URL
3. 3Configure the branch and analysis depth
4. 4Wait for the AI to analyze the codebase
5. 5Explore the Overview tab for architecture summary
6. 6View the Diagrams tab for Mermaid architecture diagrams
7. 7Check the Docs tab for auto-generated documentation

Key Features

• Create structured ADR documents
• AI-generated sections: context, decision, consequences
• Section-by-section generation and editing
• ADR lifecycle: draft, proposed, accepted, deprecated
• Publish ADRs for team review
• Track progress across ADR sections

How to Use

1. 1Navigate to ADR from the sidebar
2. 2Click 'New ADR' and provide the decision title
3. 3Define sections (Context, Decision, Alternatives, Consequences)
4. 4Use 'Generate' on each section for AI assistance
5. 5Edit and refine the generated content
6. 6Set the ADR status (Draft, Proposed, Accepted)
7. 7Publish for team review when ready

Key Features

• Structure-first spec creation workflow
• Define sections before generating content
• AI generates content per section with context awareness
• Version tracking and comparison
• Export to Markdown or PDF

How to Use

1. 1Go to Specs in the sidebar
2. 2Click 'New Spec' and provide the project name
3. 3Define the spec structure: add sections like Overview, Requirements, API Design
4. 4Click 'Generate' on each section for AI-assisted content
5. 5Review and edit the generated content
6. 6Reorder sections by dragging
7. 7Export the completed spec

Key Features

• Visual entity-relationship diagram editor
• AI-generated schema suggestions
• Schema transformation between database types
• DDL and migration script generation
• Import existing schemas for analysis

How to Use

1. 1Navigate to Data Model from the sidebar
2. 2Create a new data model project
3. 3Describe your domain and let AI suggest an initial schema
4. 4Edit entities, attributes, and relationships visually
5. 5Generate DDL scripts for your target database
6. 6Use transformation tools to convert between SQL, NoSQL, and graph schemas

Key Features

• Source and target database connection wizard
• AI-powered schema mapping suggestions
• Data transformation rules editor
• Migration execution with progress tracking
• Validation and rollback capabilities
• Pause, resume, and cancel migrations

How to Use

1. 1Go to Migration from the sidebar
2. 2Click 'New Migration' to start the wizard
3. 3Configure source database connection (test connection first)
4. 4Configure target database connection
5. 5Review AI-suggested schema mappings
6. 6Define custom transformation rules if needed
7. 7Start the migration and monitor progress via SSE streaming
8. 8Validate migrated data with comparison reports

Key Features

• Convert specifications into working code
• Multi-agent architecture for complex code generation
• Support for multiple programming languages
• Integrated code editor with syntax highlighting
• Iterative refinement with AI feedback loops

How to Use

1. 1Navigate to Coder from the sidebar
2. 2Create a new coding project or select an existing spec
3. 3Define the target language and framework
4. 4Let the AI agents generate code from your spec
5. 5Review generated code in the integrated editor
6. 6Iterate: provide feedback and regenerate specific sections
7. 7Export or copy the final code

Key Features

• Job role automation potential analysis
• Skill gap identification and recommendations
• Workforce transition planning
• Impact assessment reports
• Industry benchmarking comparisons

How to Use

1. 1Go to Future of Work from the sidebar
2. 2Create a new analysis for your organization
3. 3Input job roles and current workforce data
4. 4Run the AI analysis to identify automation potential
5. 5Review the impact assessment and skill gap reports
6. 6Generate transition plans for affected roles
7. 7Export reports for stakeholder presentations

Key Features

• Generate Dockerfiles, Kubernetes manifests, Helm charts
• GitHub Actions, ArgoCD, and Flux configurations
• Shell scripts and Terraform files
• 30+ artifact types with validation
• 5 external linters (hadolint, yamllint, shellcheck, actionlint, kubeconform)
• Secure ZIP export of deployment packages
• GitHub PR publishing with path traversal protection

How to Use

1. 1Navigate to Deployment from the sidebar
2. 2Create a new deployment project
3. 3Describe your application and target platform
4. 4Let the AI generate deployment artifacts
5. 5Review artifacts — they are auto-validated with linters
6. 6Edit artifacts directly in the built-in editor
7. 7Export as ZIP or publish directly to a GitHub repository

Key Features

• Incident analysis and root cause suggestions
• Runbook generation and management
• SLO/SLI definition assistance
• Post-mortem report generation
• Alert correlation and noise reduction

How to Use

1. 1Go to SRE from the sidebar
2. 2Create a new incident report or runbook
3. 3Describe the incident or operational scenario
4. 4Let the AI analyze and suggest root causes
5. 5Generate runbook steps for common scenarios
6. 6Export runbooks for team documentation

Key Features

• Dashboard with ticket overview and metrics
• AI-powered ticket classification and routing
• Suggested resolutions based on historical data
• Ticket detail view with AI strategy recommendations
• Integration with existing ITSM workflows

How to Use

1. 1Navigate to ITSM from the sidebar
2. 2View the dashboard for ticket overview and trends
3. 3Click on a ticket to see details and AI recommendations
4. 4Review the AI Strategy tab for suggested resolutions
5. 5Apply suggestions or provide feedback to improve accuracy
6. 6Track resolution metrics over time

Key Features

• Security alert analysis and prioritization
• Threat intelligence integration
• Incident response playbook generation
• Vulnerability assessment assistance

How to Use

1. 1Navigate to SecOps from the sidebar
2. 2This module is coming soon — stay tuned for updates

Key Features

• Cloud spend analysis and forecasting
• Cost optimization recommendations
• Resource right-sizing suggestions
• Budget alert configuration

How to Use

1. 1Navigate to FinOps from the sidebar
2. 2This module is coming soon — stay tuned for updates

Key Features

• AI-suggested data schemas from descriptions
• Multiple output formats (JSON, CSV, SQL)
• Configurable record counts and data distributions
• Referential integrity across related tables
• Custom data generators and faker patterns

How to Use

1. 1Go to Test Data from the sidebar
2. 2Create a new data generation project
3. 3Describe your data requirements or paste an existing schema
4. 4Let the AI suggest field types and sample distributions
5. 5Configure the number of records and output format
6. 6Generate and download the test data
7. 7Optionally insert directly into a connected database

Key Features

• Configurable load test scenarios
• Throughput and latency metrics
• Concurrent connection testing
• Real-time results visualization
• Historical comparison across runs

How to Use

1. 1Navigate to Perf Tests from the sidebar
2. 2Configure your database connection
3. 3Define test scenarios (read, write, mixed workloads)
4. 4Set concurrency levels and duration
5. 5Run the test and monitor real-time metrics
6. 6Compare results across different configurations

Key Features

• Import HAR files from browser network captures
• AI-generated test assertions from recorded requests
• Execute tests and compare responses
• Diff view for expected vs actual results
• Test suite organization and batch execution

How to Use

1. 1Go to Func Tests from the sidebar
2. 2Import a HAR file captured from your browser's DevTools
3. 3Review the extracted API requests
4. 4Let the AI generate test assertions for each request
5. 5Run the test suite against your API endpoints
6. 6Review the comparison results and fix any failures

Key Features

• Multi-dimensional documentation scoring
• Completeness, clarity, accuracy, and consistency checks
• AI-powered improvement recommendations
• Before/after comparison
• Batch assessment for documentation sets

How to Use

1. 1Navigate to Doc Bench from the sidebar
2. 2Upload or paste your documentation
3. 3Run the quality assessment
4. 4Review scores across dimensions (completeness, clarity, etc.)
5. 5Read the AI recommendations for improvement
6. 6Apply suggestions and re-assess to track improvement

Key Features

• Kanban board for task management
• Project timeline and milestone tracking
• Task assignment and status tracking
• Progress dashboards and reporting

How to Use

1. 1Go to Projects from the sidebar
2. 2Create a new project with name and description
3. 3Add tasks and organize them on the Kanban board
4. 4Drag tasks between columns to update status
5. 5Set milestones and track overall progress

Key Features

• Generate PRDs from product descriptions
• AI-assisted Epic and Feature breakdown
• User Story generation with acceptance criteria
• Test case generation from user stories
• Artifact evaluation and scoring
• SSE streaming for real-time generation

How to Use

1. 1Navigate to Product from the sidebar
2. 2Create a new product and describe the vision
3. 3Generate a PRD using AI assistance
4. 4Break down the PRD into Epics and Features
5. 5Generate User Stories for each feature
6. 6Auto-generate test cases from user stories
7. 7Review and refine all generated artifacts

Key Features

• Multi-agent crew simulation for SDLC tasks
• Configure crew members with specific roles
• Backlog management with AI prioritization
• Run simulations and review agent interactions
• Analytics dashboard for crew performance
• Customizable templates for common workflows

How to Use

1. 1Go to Crew from the sidebar
2. 2Create a new crew or use a template
3. 3Configure crew members (agents) with roles and skills
4. 4Add items to the backlog
5. 5Run a simulation to see how the crew processes tasks
6. 6Review agent interactions and outputs
7. 7Use analytics to optimize crew configuration

Key Features

• Rich Markdown rendering with syntax highlighting
• AI-powered content annotations
• Table of contents generation
• Export to PDF
• Dark and light theme support

How to Use

1. 1Navigate to Markview from the sidebar
2. 2Paste or upload a Markdown document
3. 3View the rendered output with full formatting
4. 4Use AI annotations for summaries or explanations
5. 5Export the rendered document as needed

Key Features

• Request builder with method, URL, headers, and body
• Response viewer with syntax highlighting
• Auto-generated API catalog from OpenAPI specs
• Save and organize requests into collections
• Environment variable support

How to Use

1. 1Go to API Tester from the sidebar
2. 2Enter the request URL and select the HTTP method
3. 3Add headers and request body as needed
4. 4Click 'Send' to execute the request
5. 5Review the response with status code, headers, and body
6. 6Save frequently used requests to collections

Key Features

• Animated visualization of repository commits
• Contributor activity over time
• File structure evolution
• Customizable visualization settings
• Export as video

How to Use

1. 1Navigate to Repo Viz from the sidebar
2. 2Enter a Git repository URL
3. 3Configure visualization parameters (speed, style, time range)
4. 4Generate the animation
5. 5Preview and export the video

Key Features

• Contributor activity rankings
• Code ownership analysis
• Commit frequency and patterns
• Language and file type distribution
• Historical trends and growth metrics

How to Use

1. 1Go to Repo Insights from the sidebar
2. 2Enter a repository URL or select from recent repos
3. 3Run the analysis to gather contributor data
4. 4Review contributor rankings and activity metrics
5. 5Explore code ownership and language distribution charts

Key Features

• Company overview from website analysis
• Industry and market positioning insights
• Technology stack detection
• Key personnel and organizational structure
• Competitive landscape summary

How to Use

1. 1Navigate to Company Insights from the sidebar
2. 2Enter a company's website URL
3. 3Run the AI analysis
4. 4Review the generated company profile
5. 5Explore sections: overview, technology, market position
6. 6Export the insights report

Key Features

• Compare pricing across AI providers
• Token usage estimation
• Scenario planning with different models
• Monthly and annual cost projections
• Provider comparison: OpenAI, Anthropic, Google, AWS Bedrock

How to Use

1. 1Go to Cost Calc from the sidebar
2. 2Select the AI providers and models to compare
3. 3Enter your estimated usage (tokens per request, requests per day)
4. 4Review the cost breakdown across providers
5. 5Create scenarios for different usage levels
6. 6Export the comparison for budget planning