Professional AI Planning Workflow

How it works

From meeting capture to safe execution—the complete corporate AI development workflow

The Complete Workflow

1

Capture Ideas & Context

Meeting recordings, screen captures, and voice dictation

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.

Meeting Recordings

Upload Teams meetings. Multimodal AI analyzes audio transcripts (with speaker identification) and visual content (shared screens, documents) to extract requirements, decisions, and action items.

Screen Recordings

Record workflows, bugs, or UI presentations. Gemini Vision analyzes both audio narration and visual content to capture complete context for requirements gathering.

Voice Dictation

Speak requirements naturally. OpenAI Whisper transcribes with smart text insertion and speaker identification for rapid specification capture.

2

Refine into Actionable Specifications

Two AI prompt types for clarity and completeness

Transform raw meeting transcripts, voice recordings, and rough notes into clear, implementation-ready specifications using two distinct AI prompt types that work together to ensure both clarity and completeness.

Text Enhancement

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.

Task Refinement

Expands task descriptions by identifying implied requirements, filling in overlooked gaps, clarifying expected behavior and edge cases, and adding technical considerations for implementation readiness.

3

Generate Granular Implementation Plans

File-by-file plans with exact repository paths

AI file discovery identifies relevant files across your codebase. Multiple AI models generate implementation plans 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.

Exact file paths from your repository structure
Specific line ranges and modification details
Clear operation types (modify, create, delete)
Dependency analysis and impact assessment
Multiple plan generation for approach comparison
Multi-model support (GPT-5, Claude 4, Gemini 2.5 Pro)
4

Review, Edit & Approve (Human-in-the-Loop)

Full control before any code changes

Plans open in Monaco editor for comprehensive review. Team leads examine every proposed change, edit steps directly, merge multiple approaches with custom instructions, or reject plans entirely. No code changes occur without explicit human approval—ensuring alignment with corporate requirements and team workflows.

Professional Monaco editor with syntax highlighting
Direct editing of all plan steps and details
Merge multiple plans with custom instructions
Request modifications or alternative approaches
Approve for execution or reject with audit trail
Complete visibility into proposed changes
5

Execute with Confidence

Safe handoff to developers or coding agents

After approval, securely transmit the plan to your chosen coding agent (Claude Code, Cursor, Codex) or assigned software developer. File-by-file granularity prevents regressions and unintended modifications—ensuring safe execution. Integrated terminal with persistent sessions enables immediate execution and debugging.

Claude Code CLI with plan mode support
Cursor CLI integration
OpenAI Codex CLI execution
Integrated terminal with voice transcription
Persistent terminal sessions with auto-recovery
Complete audit trail of 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.

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

Try Interactive Demo

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.