AI-native build workflow

Hand your AI coding agent the full product brain — strategy, blueprints, roadmap, Prompt Pack.

One-shot prompts produce one-shot features. The Prompt Pack carries strategy, blueprints, roadmap, and guardrails — so the agent holds conviction across sessions, not just the first chat.

What is a Prompt Pack?
Select contextStrategyBlueprintsRoadmapStructureMilestone M1Milestone M2Milestone M3Prompt Packstrategy + blueprints + roadmapAGENT

The workflow

AI agents ship what you brief them to ship. Thin briefs produce thin features.

A one-shot prompt is a sketch. The Prompt Pack is the dossier — the strategy, the blueprints, the roadmap, and the constraints. The agent stops re-deriving context every session and starts holding conviction across them.

Step by step

Five steps from idea to agent-ready brief.

Each step reads the previous artifact. You see the input, what happens, the output, and the decision the step unlocks.

1

Score the idea

Input

Your candidate idea (generated or brought in).

What happens

Gaplyze scores the idea on commercial viability so you don't hand the agent a sprint on a sub-50 bet.

Output

A 0-100 score with per-dimension breakdown.

Decision unlocked

Build it, refine it, or park it.

2

Map strategy and select the path

Input

The scored idea.

What happens

Distinct strategic paths emerge; you lock the one you'll defend. The agent inherits that decision through every blueprint.

Output

A locked path with rationale.

Decision unlocked

Which path your agent should optimize for.

3

Generate blueprints

Input

The locked path.

What happens

Founding blueprints are produced — positioning, monetization, retention, onboarding, and the rest of the chain.

Output

A blueprint pack the agent can read end to end.

Decision unlocked

Which blueprints to ship first and which to defer.

4

Build the execution roadmap

Input

The blueprint pack.

What happens

Blueprints are sequenced into phased, shippable milestones the agent can attack in order without losing direction.

Output

A milestone-by-milestone roadmap with acceptance criteria.

Decision unlocked

What the agent works on this sprint vs next.

5

Export the Prompt Pack

Input

Strategy + blueprints + roadmap + constraints.

What happens

Gaplyze bundles the chain into agent-ready Markdown — strategy upfront, blueprints in scope, roadmap as execution order, constraints as guardrails.

Output

A Prompt Pack ready to paste, upload, or commit into the repo your agent reads.

Decision unlocked

Which agent gets the Pack — and which sprint starts now.

Example walkthrough

A solo founder briefing their AI coding agent.

Watch a vibe-coding founder take an indie SaaS idea through the full chain — and hand the Prompt Pack to Claude before midnight.

Starting point

A solo founder brings an indie SaaS idea — a focus-mode app for indie devs — and plans to ship with Claude as their coding partner.

  1. 1

    Score

    A solo founder pastes an indie SaaS idea — a focus-mode app for indie devs.

    Steady overall; wedge is strong, defensibility is the weak dimension to plan around.

  2. 2

    Strategy

    Distinct paths emerge: freemium B2C, prosumer hybrid, dev-tool integration. The dev-tool integration path wins on founder fit.

    Dev-tool integration path locked.

  3. 3

    Blueprints

    Positioning, monetization, retention, and onboarding blueprints generated against Path C.

    Conviction captured — agent has a defensible north star.

  4. 4

    Roadmap

    Blueprints sequenced into a 60-day milestone roadmap with acceptance criteria on each.

    Sprint 1: integration MVP. Sprint 2: monetization wedge.

  5. 5

    Export

    Prompt Pack exported as Markdown — strategy + blueprints + roadmap + guardrails.

    Pack pasted into Claude as the system prompt; first agent session ships Sprint 1.

ScoreSteady

Prompt Pack handed to Claude as the system prompt — Sprint 1 starts the same evening.

Example walkthrough — your idea, agent, and timeline will vary.

Outcomes

What the workflow returns — by who you're briefing.

Inputs

An indie SaaS idea + your favourite coding agent

Time

60-90 min to a complete Prompt Pack

Output

Score, locked path, blueprint pack, sequenced roadmap, agent-ready Pack

Decision unlocked

Which sprint the agent starts on first

Inputs

An existing product you want to iterate on

Time

45-60 min for the refresh + Pack regenerate

Output

Updated blueprints, refreshed roadmap, regenerated Pack

Decision unlocked

Which iteration to brief the agent on next

Inputs

A team using one shared brief across multiple agents

Time

90-120 min for the first deep pass

Output

Versioned Pack the whole team and agent fleet share

Decision unlocked

Who builds what — humans and agents reading the same conviction

Prerequisites

What each step needs before it can run.

The Pack is only as deep as the chain you ran. Skip the strategy and the Pack ships without conviction; skip the roadmap and the agent loses sequence.

Score

Needs

A candidate idea

Why

Scoring measures fit — without a candidate, there's nothing to evaluate.

Strategy

Needs

A scored idea

Why

Strategy uses the per-dimension breakdown to propose distinct paths.

Blueprints

Needs

A selected strategic path

Why

Blueprints inherit positioning + monetization framing from the locked path.

Roadmap

Needs

The blueprint pack

Why

The roadmap sequences blueprints into shippable milestones — it can't run without them.

Prompt Pack export

Needs

Strategy + blueprints + roadmap

Why

The Pack composes all three. With less context, the agent loses conviction over a long horizon.

Start free

Brief your agent for free.

Score and strategize without a credit card. Upgrade when you want the full blueprint pack and the agent-ready Prompt Pack.

See full pricing

FAQ

AI-native build questions answered.

Which AI coding agents work with the Prompt Pack?

The Prompt Pack is plain Markdown — it works with Claude, Cursor, Replit, Codex, Aider, Continue, and any chat-based or repo-aware coding agent that accepts long-context input. There's no Gaplyze SDK to install on the agent's side.

Why does a Prompt Pack beat a one-shot prompt?

Agents lose conviction on long horizons. The Prompt Pack carries the strategy, the blueprints, the constraints, the success criteria, and the rationale — so the agent can defend its choices three sessions in, not just the first one. One-shot prompts always re-derive context; the Pack carries it.

Does the agent get any credentials or access to my data?

No. Gaplyze produces the Pack as plain Markdown files. You hand them to your agent however you normally do — paste, file upload, or repo commit. Gaplyze never touches the agent's runtime, your codebase, or your credentials.

How do I keep context across multiple agent sessions?

The Pack is the durable context. Re-paste it (or re-attach it) at the start of every new session. The agent reads the strategy, the blueprints, and the roadmap fresh each time, so the conviction holds even if the chat history doesn't.

What happens when I want to iterate after the agent ships something?

Re-run the affected blueprint or the roadmap step. The Pack regenerates with the iteration baked in — new positioning, new monetization, new milestone sequence. Hand the updated Pack to the agent and the next sprint inherits the new conviction.

Is this useful if I'm not vibe-coding solo?

Yes. Engineering teams use the Pack as a shared brief — product, design, and engineering reading the same strategy. The agent is one consumer; humans on your team are another. The Pack travels equally well to both.

Stop briefing your agent in pieces. Hand it the brain.

Strategy, blueprints, roadmap, guardrails — one Prompt Pack the agent reads end to end, every session.

See pricing