Production code by non-technical users.
Promptgramming is a step-by-step methodology that translates your intent into production-ready software, even if you do not write code. You answer the right questions in sequence, and AI assistants handle the parts you cannot do alone.
Outcome
Production-ready products
Audience
Founders, PMs, Scientists
Method
Question-driven translation
What this unlocks
Scalable pilots, the bridge from early prototype to first usable product, and the final push into production. The system keeps you in control while AI fills the gaps.
Translation Hill, explained
The Translation Hill method brings you to reliable outcomes by asking the right questions in sequence. Each answer becomes a written output, each output feeds the next, and AI assistants execute the parts you cannot do by yourself.
Four steps, one climb
Alignment -> Ideation -> Feasibility -> First usable product
Phase 0
Profile + context, set the intent.
Phase 1
Goals, scope, metrics, risks.
Phase 2
Feasibility + system design.
Phase 3
Product requirements + production-ready build.
The workflow, in plain language
Phase 0 - Alignment
Clarify who you are, what you want, and what success looks like.
Phase 1 - Ideation
Translate the idea into goals, scope, and measurable outcomes.
Phase 2 - Early prototype
Prove feasibility, system design, and the smallest viable slice.
Phase 3 - First product
Define acceptance criteria and build a production-ready prototype.
How it works
Your intent flows through a structured pipeline. Each phase produces a concrete artifact that becomes the input to the next phase. The system keeps context alive and blocks drift.
Intent
Questions capture your real goals.
Artifacts
Profile, idea brief, feasibility plan, product requirements.
Execution
AI assistants complete the tasks you cannot do alone.
Outcome
Production-ready product + roadmap.
Proof: Pixel Detective
Pixel Detective is a vibe coding manifesto. It was built with no hand-written code, using idea generation, prompt engineering, and AI-driven software synthesis. The Translation Hill process guided a scientist (not a software engineer) to deliver a complex production system.
What shipped
- Microservices architecture with FastAPI backends
- Qdrant vector database powering semantic search
- GPU-accelerated UMAP + clustering
- Next.js UI/UX with a latent space explorer
Proof: Aitor Skills
Workflow genome
Aitor Skills is a living library of protocols and telemetry that power the Promptgramming process. It shows how the framework evolves through evidence, not intuition.
These protocols power the Translation Hill phases and keep the collaboration between human intent and AI execution safe, traceable, and repeatable.
Open source, ready to use
Use the template, remix it, and ship. If this helps, share it around or reach out. If you are not here for glory, you are in the right place.