Months you don't spend rebuilding.
A wrong build isn't found on day one — it's found after the money's spent. A spec surfaces the wrong assumptions before a developer is hired, not after.
Product Architect / Engineer by craft / 7 years building
I turn your idea into a spec your team can actually build.
Most products don't fail in development — they fail in the spec. I define the product, UX, architecture, edge cases, and roadmap before anyone writes code, so your developers (or your AI) build the right thing the first time.
Book a 30-min call → or email devcj.in@gmail.com
§01 Why this matters before you build
What a spec saves you.
Budget that doesn't burn on the wrong thing.
Developers and AI build exactly what they're told. If the instruction is vague, you pay full price for the wrong product, then pay again to redo it. The spec is the cheapest part of the build — and it decides the cost of everything after it.
The risk of scaling a broken foundation.
Architecture decided too late is the most expensive kind of late. Getting the system design right on paper means you don't discover the wall at the moment you're trying to grow past it.
§02 What I deliver
Five layers. One complete spec.
A Product Blueprint is a complete specification — the spec depth a well-run product team produces internally, made available to solo founders and small teams.
product-blueprint.spec — complete specification REV. A · 5 LAYERS
L01Product
Feature specs with API contracts and UI trees. User flows. Edge cases. Auth and billing gates. Nothing assumed.
L02Design
Per-screen specs: what it is, how to implement it, and why it exists. Component trees. State shapes. Design tokens.
L03Architecture
Database schema. API contracts. Service boundaries using ports and adapters. Stack decisions with documented tradeoffs.
L04Roadmap
Task breakdowns in YAML. Dependency graph. Wave structure. Acceptance criteria per task.
L05Nuances
The things nobody writes down. Readiness signals, network resilience, UX philosophy — the edge cases that kill v1s.
+ guard-rails A guard-rails document so your builders — human or AI — don't go off-track.
// engagements range from a full spec from scratch to an audit of work already in progress.
§03 Selected work
The hard part, spec'd before the code.
ByteBell Co-founder
2024–2026
2024–2026
AI DevRel co-pilot
Teams uploaded docs, repos, and notes; ByteBell returned an embeddable chatbot and an MCP server that pulled context across multiple repositories at once. The hard constraint was zero hallucinations — for developer tooling, a confident wrong answer is worse than no answer.
Before writing code, I spec'd three retrieval architectures on paper, then committed to a multi-layer RAG design. That structural decision — not the choice of model — is what eliminated the hallucinations.
Open case study →Uniping Co-founder
2021–2023
2021–2023
Web3 marketing platform
A platform for running on-chain marketing campaigns and visualizing wallet-holder data. It reached the product that worked through three pivots — Web3 email client, then NFT generator, then marketing + data visualization.
Each pivot was driven by user interviews, and before every one I wrote down exactly what had failed and why. That discipline became the habit behind the Product Blueprint service.
Open case study →Three pivots, each driven by user interviews. Before every pivot I documented what broke and why — that habit became the Product Blueprint.
icodeitSolo
Open source
Open source
Browser coding playground
A browser IDE where every session runs in its own isolated Docker container. I specced the container provisioning API as a separate contract first — the hard problem was never the editor, it was container lifecycle and cold-start time.
Open →PyanoSolo
2023
2023
Local LLM coding assistant
A fully private coding assistant — fine-tuned Llama running entirely on your machine via a VS Code extension. Built before "local AI" was a category. The insight that carried forward: the spec of an AI system matters more than the model.
Open →Browse LaterSolo
45+ users
45+ users
Chrome extension
A lightweight way to save links you'll actually read later. I specced the privacy model before building — no server, no sign-up, local storage with optional sync — and every decision followed from that constraint. Shipped fully, real users.
Open →Want to see how I'd approach your product?
Book a 30-min call →§04 Who I work with
Built for people who want it right.
One complete decision beats twenty half-decisions. If the list reads like you, a Blueprint will land.
- ▸Have a specific idea they're ready to act on — not still searching for one.
- ▸Care more about getting it right than getting it cheap.
- ▸Prefer one complete decision over twenty half-decisions.
- ▸Have already hired developers and been burned — or are smart enough not to repeat that without a spec.
- ▸Are using AI coding tools and need the spec precise enough for AI to actually execute.
§05 The engagement
How it works.
01
Intro call
I understand your idea, constraints, and timeline. Fit check both ways.
02
Proposal
Scope, deliverables, timeline.
03
50% upfront
Contract signed, work starts.
04
Deep intake
Everything I need to produce an accurate spec.
05
Blueprint
Product → design → architecture → roadmap → nuances.
06
Handoff call
Walk through every decision together.
07
Revisions
3–5 day window. Final 50% on close.
§06 About
I'm a software engineer turned product architect. I co-founded ByteBell and Uniping, and have shipped products across startups, MNCs, and government. After building enough wrong products to learn that the spec is where products go right or wrong, I started Product Blueprint — turning founders' ideas into buildable specifications that developers and AI agents can execute against.
Ready to spec your product?
30 minutes. No pitch. Just a conversation about your product and whether a Blueprint makes sense.
Book a 30-min call →or email devcj.in@gmail.com