How it works
From meeting capture to safe execution—the complete corporate AI development workflow
The Complete Workflow
Capture Ideas and Context
Stage 1: Voice, video, notes become specifications
Start by capturing initial requirements from multiple sources. Upload Microsoft Teams meeting recordings for multimodal analysis, record screen presentations to capture visual context, or use voice dictation for rapid idea capture. All input methods feed into the same refinement workflow.
Upload Teams meetings. Multimodal AI analyzes audio transcripts (with speaker identification) and visual content (shared screens, documents) to extract requirements, decisions, and action items.
Record workflows, bugs, or UI presentations. Gemini Vision analyzes both audio narration and visual content to capture complete context for requirements gathering.
Speak requirements naturally. OpenAI gpt-4o-transcribe transcribes with smart text insertion and speaker identification for rapid specification capture.
Refine into Precise Specifications
Stage 2: text_improvement and task_refinement prompts
Transform raw meeting transcripts, voice recordings, and rough notes into clear, implementation-ready specifications using two distinct AI prompt types (text_improvement and task_refinement) that work together to ensure both clarity and completeness.
Improves grammar, sentence structure, clarity, and conciseness while maintaining your original intent, tone, and technical detail level. Perfect for polishing voice transcripts and meeting notes.
Expands task descriptions by identifying implied requirements, filling in overlooked gaps, clarifying expected behavior and edge cases, and adding technical considerations for implementation readiness.
Discover Files and Generate Plans
Stage 3: FileFinderWorkflow + implementation_plan generation
4-stage FileFinderWorkflow identifies relevant files across your codebase. Multiple AI models (GPT-5.2, Claude Sonnet 4.5, Gemini 3 Pro) generate XML-structured implementation_plan documents with file-by-file granularity—exact file paths, specific line ranges, and clear operation types (modify/create/delete). This granularity makes impact assessment crystal clear.
Review and Merge Plans
Stage 4: Side-by-side review + implementation_plan_merge
Plans open in Monaco editor for comprehensive review. Team leads examine every proposed change side-by-side, edit steps directly, use implementation_plan_merge with custom instructions to combine best insights from multiple models, or reject plans entirely. No code changes occur without explicit human approval—ensuring alignment with corporate requirements and team workflows.
Execute Safely in Your Tools
Stage 5: Terminal or copy buttons attach to any execution tool
After approval, execute safely via two attachment methods: (a) Integrated terminal with claude, cursor, or codex commands—full session logging, undo/redo, recovery actions. (b) Copy buttons to paste approved plans into Cursor Composer, Windsurf Cascade, or any IDE chat. File-by-file granularity prevents regressions and unintended modifications—ensuring safe execution.
Why Corporate Teams Choose This Workflow
Human-in-the-Loop Governance
Review every plan before execution. Edit approaches, merge strategies, approve or reject. AI assists, humans control. Built for teams where code quality matters.
Persistent Sessions
Terminal output is stored locally and sessions restore on launch. Close the app, come back next week, continue debugging.
Deploy on your terms
Use the included Rust proxy server with your own API keys when you need to keep requests on infrastructure you control.
Remote control on iOS
Review and merge plans from iOS and open a remote terminal session via device link.
Built for Corporate Development Teams
Large Feature Development
Multi-file features that require careful planning. Generate multiple approaches, merge the best parts, edit for your specific codebase.
- Cross-component feature implementation
- API design and integration
- Database schema changes
Complex Bug Investigation
Record screen captures of bugs, get AI analysis, generate debugging plans, execute with full terminal control.
- Visual context with screen recording
- Systematic debugging approaches
- Persistent terminal log
Legacy Codebase Maintenance
AI understands legacy patterns and technical debt. Generate safe refactoring plans, library upgrades, and architectural improvements.
- Dependency upgrade strategies
- Breaking change migration plans
- Technical debt cleanup
Professional Development
Command approvals, session retention, single-tenant deployment. Built for teams where one wrong command costs millions.
- Terminal governance and approvals
- Complete audit trails
- On-premise deployment options
See It In Action
Watch the interactive demo to see the complete workflow
Ready to Transform Your Corporate Development Workflow?
From meeting capture to safe execution—the complete workflow for corporate teams adopting AI coding agents confidently. Capture requirements from any source, refine with AI, generate granular plans, review with full control, and execute safely.