AI-Native Prompt Pack · Agent Prompts
The prompt pack that briefs your AI coding agent.
AI-Native Prompt Pack·12 deliverables
- Strategy Context
- Blueprint Context
- Roadmap Context
- Idea + Score
- Authored Prompts
- Agent Instructions
- Implementation Flow
- Wedge Awareness
- Kill Criteria
- Agent-Agnostic
- Copy / Export
- Full Product Brain
The job
Coding agents fail not because they're weak — but because the prompt was thin.
A one-line ask forces the agent to guess your customer, invent a stack, and reinterpret the wedge. The Prompt Pack ends the guessing — your strategy, your blueprint, your roadmap, all handed over in one structured brief.
You bring
- A scored idea with a chosen strategic path
- A selected blueprint (or a few you want briefed)
- An execution roadmap with phases and dependencies
Gaplyze creates
- A single Markdown brief your agent can build from
- Every assumption, constraint, and outcome surfaced
- Regeneration when the plan changes — no stale prompts
The real surface
The full product brain, in one pack.
The actual AI-Native Prompt Pack — the assembled context, the authored prompts, the agent instructions, and the implementation flow your coding agent builds from. Open it and scroll the whole thing.
Inside the AI-Native Prompt Pack
Not a context dump — the complete orchestration for AI-native implementation.
The Prompt Pack is the orchestration layer for AI-native development. Assembled product context PLUS authored prompts PLUS agent instructions PLUS implementation flow — so your agent ships work aware of the product's dimensions, not just the technical artifacts.
Assembled product context
The pack carries the full layered context you produced — your scored idea with per-dimension breakdown, your locked strategic path, your Market Intelligence evidence base, your selected blueprint, your execution roadmap with definition of done per task.
Authored prompts on top
Beyond the context, Gaplyze authors the structured prompts the agent runs against — opening prompts, follow-up clarifications, evaluation prompts. The agent reads INSTRUCTIONS, not just an INFORMATION DUMP.
Agent instructions
The pack tells the agent what constraints to respect, what guardrails to keep, what success criteria to validate against, what to refuse, and when to ask. The behaviour is shaped, not improvised.
Implementation flow
The pack defines the sequence — what to ship first, what depends on what, what milestones gate the next phase. The agent ships in the order the venture actually requires, not the order tasks arrived.
Customer + wedge awareness
Every output respects the customer segment, the wedge architecture, and the positioning you locked. The agent ships features that ARE the wedge — not features that pass code review but miss the wedge.
Economics + kill-criteria awareness
The pack carries your unit-economics posture and the kill criteria your team agreed on. The agent knows when work that drags economics is the wrong work, even if it's the most ambitious.
Path inheritance
The pack reflects the strategic path you locked in Strategy Map. If you pivot, regenerate the pack — the next agent run inherits the new commitments without stale baggage from the prior path.
Agent-agnostic compatibility
Works with every AI coding agent that accepts a structured brief: Claude Code, Codex, Cursor, Codeium, Windsurf, Copilot Workspace, Aider, or your own custom internal agent.
Product-aware AI-native development
The result is the difference between an agent that ships TECHNICALLY CORRECT code and an agent that ships PRODUCT-CORRECT code — features that respect the dimensions your venture lives or dies on.
Context-rich. Product-aware. Agent-agnostic. The way AI-native implementation should work.
Decision unlocked
You stop rewriting the agent's output and start shipping from it.
Brief one agent or many — same source of truth, no copy-paste drift
Ship features that respect the strategy instead of overwriting it
Regenerate when the plan changes — the next agent run is always current
Where it fits
The handoff to your build tools.
Idea Score
Strategy Map
Blueprints
Execution Roadmaps
Prompt Packs
Idea Score
Strategy Map
Blueprints
Execution Roadmaps
Prompt Packs
You are here
Downstream is your build environment — Claude Code, Cursor, Windsurf, Aider, or any agent that accepts a Markdown brief. Gaplyze owns the plan; your agent owns the keystrokes.
Included with blueprints
Generate a Prompt Pack the moment a blueprint is ready.
No credit card to preview the format. Generate the pack the same session your blueprint and roadmap finalize — your agent is briefed before lunch.
FAQ
Questions before you hand off to your agent.
What does a Prompt Pack actually contain?
A Prompt Pack is the complete AI-native implementation orchestration — not a context dump. Each pack carries the assembled product context (your scored idea, your strategy and Market Intelligence, your selected blueprint, your execution roadmap) PLUS the structured prompts, the agent instructions, and the implementation flow Gaplyze authors on top of that context. The pack hands the agent everything it needs to ship work that respects your product's dimensions — customer, wedge, positioning, economics, kill criteria — not just the technical and coding artifacts.
Which AI coding agents does it work with?
Every AI coding agent that accepts a structured brief — Claude Code, Codex, Cursor, Codeium, Windsurf, GitHub Copilot Workspace, Aider, or your custom internal agent. The pack is plain text plus structured sections; you paste, attach, or pipe into the agent's context window.
Why does context-rich orchestration beat a one-shot prompt?
A thin prompt produces a thin feature — the agent guesses your customer, invents a stack, and misses the wedge. The pack tells the agent what you decided, why you decided it, the sequence to ship in, and the constraints to respect — so the output is AI-native implementation aware of your product's dimensions, not just technically passable code.
Does it regenerate when the roadmap changes?
Yes. Update the blueprint or roadmap, regenerate the pack, and the next agent run is briefed on the current decisions — no stale context, no drift between plan and build.
Is the content of my prompt pack private?
Yes. The pack assembles from your workspace data and never leaves your account unless you copy or download it. You control what gets handed to which agent.
Do I need to leave Gaplyze to use it?
No. Generate, preview, and copy from inside the workspace. You can also export as Markdown for version control or attach to your agent's context window directly.
Stop briefing your agent in fragments.
Hand it the layered context stack — and ship features that respect the wedge from the first commit.