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The Product Delivery Master's Guide to Fast Product Delivery (ABM-A)

Intro​

Listen up. I'm the Product Delivery Master, your Agentic Build Master.

I turn validated product designs into production-ready AI Coder build prompts and execution guidance. No fluff, no delays, no excuses.

  • My Promise: Transform design specs into AI-executable build instructions optimized for modern agentic coders.
  • Your Job: Follow the manual, execute the prompts, build the damn product.
  • Speed: What used to take weeks now takes hours. AI acceleration is real—don't waste it.

Hyperboost Formula (Summary)​

  • Build-Measure-Learn on steroids: I don't do theory. You get deliverables that work.
  • Systematic task breakdown: Every feature becomes sequenced micro-tasks optimized for AI Coder execution with ReACT workflows.
  • Agentic-first architecture: Setup prompts → Build prompts → Manual → Execution. Designed for autonomous AI coders.
  • Evidence over opinions: If the architecture can't be validated, if the task can't be estimated, it doesn't ship.

Process Overview​

  • 00: Context Intake & Dispatch
  • 01: Technical Architecture Design
  • 02: Gen Tasks for Professional AI Coders (EPIC & Task Breakdown)
  • 03: Setup Prompts for Professional AI Coders
  • 04: Build Prompts for Professional AI Coders
  • 05: AI Coder Build Manual
  • 06: WF Completion & Next Steps

Phase 1: Technical Foundation​

I turn product design handoffs into executable architecture and task plans. No ambiguity, no missing pieces.

Step 00: Context Intake & Dispatch​

  • I'll gather all product design deliverables from prior agents (the Product Design Master, the Solution Discovery Master, etc.).
  • I verify completeness: specs, designs, metrics, flows, architecture—everything AI Coders need to build.
  • I assess your AI Coder platform (Cursor, Claude Code, Windsurf, etc.) and optimize outputs accordingly.
  • I route the workflow based on what's ready vs. what's missing.
  • If gaps exist, I'll block and tell you what's needed—no guessing games.

Deliverables:

(Context verification only—next steps unlocked when validated.)

Step 01: Technical Architecture Design​

  • I'll extract requirements from all product design specs and translate them into robust technical architecture.
  • I research optimal tech stacks for your AI Coder platform and build scale (MVP → MVF → PMF → PLG → Scale).
  • I create comprehensive Technical Architecture Design (TAD): system diagrams, C4 context, deployment strategy, NFRs, security, integrations.
  • I document Architecture Decision Records (ADRs) for every major tech choice—context, alternatives, rationale, consequences.
  • I optimize for agentic coder capabilities: maximum automation, minimal human intervention.

Deliverables:

  • a4_product_delivery/{{persona}}/{{roadmap}}/01_technical_design: Complete TAD with diagrams, ADRs, stack alignment, phased scaling strategy.

Step 02: Gen Tasks for Professional AI Coders (EPIC & Task Breakdown)​

  • I'll analyze all approved solutions from the delivery plan and break them into EPICs and micro-tasks.
  • Each task is sized for 15-20 minutes (agentic sweet spot) with clear dependencies, complexity ratings, and deliverables.
  • I organize by layers (Infra → Data → Agents → ML → BE → FE → Integration → QA → Ops) with dependency resolution and critical path analysis.
  • I generate a complete delivery plan with task sequence, dependency graph, parallel execution streams, and estimated timeline.
  • If task count exceeds 15, I'll propose phased implementation (Phase A, B, C, D) for incremental value delivery.

Deliverables:

  • a4_product_delivery/{{persona}}/{{roadmap}}/02a_progressive_build_manual: Manual for building one prompt at a time.
  • a4_product_delivery/{{persona}}/{{roadmap}}/02b_delivery_plan_prompt: EPIC analysis, task breakdown table (STATUS | TASK# | EPIC | LAYER | TYPE | NAME | DEPS | PROMPT FILE), execution strategy.
  • a4_product_delivery/{{persona}}/{{roadmap}}/02c_delivery_plan_by_layer: Same plan grouped by FE/BE/Infra for parallel teams.
  • a4_product_delivery/{{persona}}/{{roadmap}}/02_task_breakdown_json: Structured JSON for loop iteration (hidden, used internally).
  • (If phased) a4_product_delivery/{{persona}}/{{roadmap}}/02d_phased_implementation_plan: Phase comparison, breakdown, selection guide.

Phase 2: Execution Artifacts​

I generate platform-specific prompts for agentic AI coders. Copy-paste ready, no interpretation needed.

Step 03: Setup Prompts for Professional AI Coders​

  • I'll generate setup prompts for EVERY setup task in the delivery plan.
  • Each prompt includes: Pre-execution verification (MANDATORY—check existing config before adding), platform-specific commands, dependencies, validation criteria, troubleshooting.
  • I emphasize complementary execution: VERIFY existing → SKIP if configured → ADD/EXTEND only what's missing.
  • For existing products, setup prompts focus on enhancements, not destructive rewrites.

Deliverables:

  • a4_product_delivery/{{persona}}/{{roadmap}}/03_setup_T[###]_[task_name]: Individual setup prompts per task with full verification gates.

Step 04: Build Prompts for Professional AI Coders​

  • I'll generate build prompts for EVERY build task with 7 MANDATORY sections.
  • Each prompt is self-contained: job stories, success criteria, file references (fully expanded paths—no wildcards), Gherkin scenarios (happy/sad/edge/perf), codebase search queries, INSERT blocks for Agentic Coder to fill.
  • I delegate via "AGENTIC CODER:" call sign—semantic search, pattern discovery, integration notes filled by IDE, not me.
  • FE prompts include: Design System refs, UI specs, Figma MCP instructions, accessibility requirements.
  • BE prompts include: API surface, auth, validation, RLS policies, job queues, logging.

Deliverables:

  • a4_product_delivery/{{persona}}/{{roadmap}}/04_build_T[###]_[task_name]: Comprehensive build prompts with all 7 sections, no gaps, no shortcuts.

Step 05: AI Coder Build Manual​

  • I'll create a complete operator manual for executing all prompts in batch or progressive mode.
  • Batch mode: Execute entire delivery plan at once (single dev, full auto).
  • Progressive mode: Download each build prompt as generated, execute one-by-one, verify, repeat.
  • Multi-repo/team mode: Layer-based distribution (Infra → BE → FE), parallel execution with shared context, sync at milestones.
  • Includes: ZIP download instructions (CRITICAL—all dependency files from prior agents), troubleshooting guide, validation checkpoints, common issues & solutions.

Deliverables:

  • a4_product_delivery/{{persona}}/{{roadmap}}/05_batch_build_manual: Full operator manual with execution modes, coordination strategies, file reference guide, IDE tips.

Step 06: WF Completion & Next Steps​

  • I'll celebrate what you've accomplished: EPIC breakdown ✅, Setup prompts ✅, Build prompts ✅, Build manual ✅.
  • I'll provide time estimates based on AI Coder speed (10x human baseline): Setup ~15min, Build ~2h/feature, Total timeline.
  • I'll outline next paths: (1) Execute build with AI Coder ⭐ RECOMMENDED, (2) Return to the Product Design Master for design refinements, (3) Return to the Customer Discovery Master for next persona discovery, or (4) Use the OKRs Initiatives Planning Master for OKR planning.
  • I'll make advisory minds available: the Visual/Data Storyteller (visuals/pitch decks) and the Product Guru (launch strategy/product advisory).
  • Workflow concludes. AI Coder takes over. You build.

Deliverables:

  • a4_product_delivery/{{persona}}/{{roadmap}}/06a_completion_summary: Achievements, next steps, path selection.
  • a4_product_delivery/{{persona}}/{{roadmap}}/06b_ai_coder_time_estimate: Timeline breakdown (setup, build, test, totals) with 10x speed assumptions.

Welcome to fast product delivery. Now build something.