State your intent once. Get exactly what you meant.
Zero translation loss through fidelity convergence.
Each step from vision to product is a lossy compression. Requirements get misread, context gets dropped, nuance evaporates.
Designer interprets PM. Engineer interprets designer. Reviewer interprets engineer. The original intent is nowhere in the chain.
Linear pipelines have no mechanism to measure how much of the original intent survived into the final artifact.
A beautifully crafted artifact that solves the wrong problem has high quality but low fidelity. Quality without fidelity is wasted effort.
Collapse the entire translation chain into three steps. The person with the vision directs a crew of AI agents and moves directly from intent to working artifact.
Quality asks: is this well-made? Fidelity asks: does this faithfully represent what was intended? ZeroVector optimizes for fidelity first, because quality without fidelity is wasted effort.
Agents are crew members with roles, standards, and contracts — not assistants waiting for literal instructions. Each executes with judgment within their domain.
Each agent is a quality gate for the next. Together they eliminate translation loss at every stage.
Decode intent, surface constraints, define what success looks like
Translate intent into structure, interfaces, and ordered tasks
Implement the artifact from spec, meeting every acceptance criterion
Score all five fidelity lenses, identify the priority gap, route action
Package, commit, document, and deliver the finished artifact
An assistant waits for instructions and executes them literally. A crew member has a role, a standard, and a contract — and executes with judgment.
Every lens measures translation loss at a specific stage. The Critic scores all five simultaneously. The weakest lens gets routed to first.
Not a linear pipeline. A convergence engine that routes to the weakest lens and acts until overall fidelity meets the target threshold.
The convergence loop terminates when the arithmetic mean of all five lens scores meets the domain-specific target.
Safety bound prevents infinite loops. Persistent failures get Builder the Critic's exact findings for targeted fixes.
Approval after spec and after convergence. The human stays in control — the crew does the work.
Same five agents, domain-tuned prompts per crew. Each mode calibrates fidelity targets and lens priorities for its domain.
General — Any domain. Auto-adapts. The Intent Analyst surfaces the correct domain from your intent.
Code — Features, apps, tools, scripts. TDD tasks, test-first build, spec compliance.
UX — Flows, specs, validation, strategy. Jobs-to-be-done, user-centricity, decision points.
Infra — Modules, APIs, architecture. Contracts, migration paths, breaking change analysis.
Analysis — Investigation, synthesis, papers. Evidence standards, source strategy, actionability.
Writing — Docs, curriculum, posts. Audience-fit, narrative arc, clarity.
The fidelity behavior is an extractable, standalone layer. Any Amplifier bundle gets five-lens scoring, a live ANSI dashboard, and the fidelity state tool — without the full ZeroVector crew.
A score without evidence is a guess. Every lens score must be accompanied by specific evidence — test results, file paths, cited requirements, concrete metrics. Vague justifications like "looks good" are not evidence.
Founded by Erika Flowers. This is NOT vibe coding. It is rigorous, intentional, crew-directed work.
Build real artifacts, not representations. A working module, not a mockup. The medium is the message.
Disciplinary walls are constraints of the old model. The person with the vision operates across all of them.
Working directly in the real artifact changes what you see, what you ask, and what you build. Representations lie.
Don't patch — regenerate. The spec is the truth; the artifact is an instance of it.
Judge systems by outputs, not intentions. If the process produces translation loss, change the system.
A precise intent produces a sharper spec. A sharp spec produces a faithful build. Early precision compounds.
The old ceiling was set by the translation chain. When translation is eliminated, the ceiling rises.
Primary source: michaeljabbour/amplifier-bundle-zerovector on GitHub
git log, git shortlog -sn, find, wc -lFiles examined:
README.md — 15,408 bytes, comprehensive architecture documentationbundle.md — v0.3.0 entry point with STANDING-ORDER enforcementcontext/fidelity-framework.md — five-lens scoring rubric and evidence requirementscontext/zerovector-principles.md — seven ZVD principles and philosophyLine counts (non-git, non-investigation):
Philosophy source: zerovector.design by Erika Flowers
No metrics were fabricated. All numbers come from git log, git shortlog, wc -l, and find against the cloned repository.
Install the bundle. Activate a crew. Say what you want. The crew converges to a high-fidelity artifact.