Dossier: the end-to-end platform for AI-native product craft

The Pain Point: actually building and shipping from idea to production

Going beyond vibe coding? Features and products get complicated, fast.

• Agent context windows are limited. Long prompts and large codebases cause hallucinations and errors.
• Updating or adding code in one area breaks another. Frustration mounts, timelines stretch.
• There's no room for user feedback in a one-shot prompt. Your process must be flexible to iterate.
• Trying to use multiple agents? The challenge is bigger than worktree management - it's setting clear boundaries and context.

The Root Cause: humans out of the loop

Too much context + too little observability when you try to one-shot a feature or product.

• It will take you dozens or hundreds of chats to build, all relying on your memory and organization
• Use plan mode? You're still shipping and changing too much code without involving humans or users. Overbuilds lead to breakage.
• You're building the PRD. You should be building the user workflow - that's the value. But you can't observe it in action.
• Without careful boundaries set in each agent's context, running multiple agents risks breaking the codebase

The Goal: help builders iterate their way to great products, supported by a team of agents

*AI-enpowered product builders (entrepreneurs, product managers, designers and engineers) can easily iterate toward product-grade features and products with price control over agent context throughout planning and execution, across the whole product

The Solution: the dashboard for orchestrating end-to-end builds with multiple agents

The dashboard for end-to-end, multi-agent AI-native building.

1. Work with an agent to build out the workflow from an idea.
2. Shape and prioritize features by click, drag and drop - no long chats
3. Priceley set agent context for each feature build: tests, architecture, design guidance, mockups and more
4. Trigger a team of agents to build piece by piece or release by release - each with clear boundaries
5. Review, test and track progress as the feature or product takes shape

What's different? Focus on quality, observability and context control

Current multi-agent orchestrators help run things faster. Dossier will help product builders achieve production-quality by planning and targeting precise builds and updates across multiple rounds of iteration and multiple agents. Build for product minds.

Why not use planning mode in Cursor or Claude Code?

• Forget reviewing long text-based plans. Plans are structured and visual.
• Easy to customize context per build
• Clear division of duties between multiple agents working in the same repo simultaneously

Why not use Linear or Jira for planning?

• Too much bloat left over from tracking long development cycles and large teams.
• A ticket does not equal agent context. Tests, markdowns, visuals, directories and files, agent rules - agents need links, not just instructions.

Stage: Prototype https://v0-ai-orchestration-interface.vercel.app/

This is super early, visual-only to validate the concept.

What you'll see now:

• A snapshot of the interface - what an agent would help you plan from an idea.
• Dashboard built like a user story map: user workflows broken down into user actions, with features attached to each action.
• Preview ways to set context per feature, trigger builds, review code and context documents

What I need:

• Feedback to round out the workflow. Feature ideas to get you from concept to production, with each step covered.

Next Phases

• Add workflow generator (idea > plan)
• Connect GitHub for code and doc management
• Connect to agent CLIs for building