AI Generates Code.Projexlight Governs Delivery.

The AI Control Plane for AI-assisted software development.

Projexlight sits on top of Claude, Cursor, Antigravity, Amazon Q and your AI coding toolchain — turning prompt-based coding into a structured, governed, and traceable delivery process.

Blueprint
Code
QA
Release

Plan the work. Generate code and tests in parallel. Validate API and UI acceptance criteria. Enforce governance, traceability, and auditability.

3X faster delivery. Up to 90% lower functional testing costs. Enterprise-grade control and visibility for AI-assisted development.

Takes 2 minutes. Free account, no credit card.

Docker sandbox · Read-only · Code never leaves your machine

Live Validation Preview

Instantly see: failure points, drift risks, and missing validation

Try an example:

3,241 AI projects analyzed for failure points

AI Tools: Claude Code · Cursor · Copilot · Cline · Windsurf · Aider · Antigravity · Goose · Amazon QRepos: GitHub · GitLabCloud: AWS · Azure · GCP

From Prompt-Based Coding to Governed AI Delivery

AI coding tools generate code — but they don't inherently preserve the context, structure, traceability, and governance behind how that code was created.

When a production issue appears six months later, you need to know:

Prompt-based coding

RequirementTaskPromptCodeAPITestApproval

The chain exists in someone's chat history, if at all.

With Projexlight

RequirementTaskPromptCodeAPITestApproval

Every link recorded, enforced, and queryable — months later.

Projexlight keeps the entire chain connected.

Measured against prompt-based, iterative development — including our own production build, LeadPulse:

Testing cost

Tests authored by hand after the code exists; regression re-run manually every release

90%lower — autonomous API & UI functional testing

Delivery speed

Rework loops as context is lost between prompts and sessions

3Xfaster

Requirement-to-code traceability

Ad hoc — lives in chat history, if anywhere

100%traceable

Root cause, six months later

Days of archaeology across commits, tickets and chat logs

Minutesto the exact link in the chain

— what gets removed, and where the saving concentrates.

How the 2-Minute Analysis Works

It runs on your machine, not ours. Nothing is uploaded, and you can read every line before you run it.

1

Download the setup package

Scripts plus a Docker config — fully inspectable before you run anything.

2

Run one command locally

A read-only validation engine starts in a Docker sandbox. No installs; one command removes everything.

3

Read your report

Project structure, APIs, and validation gaps — mapped in about two minutes.

From insight to action

Fix what's broken. Build what's next. Ship with confidence.

Fix failures using AI with full contextGenerate production-ready features from validated blueprintsPrevent regressions with continuous validation

Takes 2 minutes. Free account, no credit card. Works with Cursor, Claude Code and Copilot — no reconfiguration needed.

If this sounds familiar:

AI-generated features break after a few iterations

No record of which task, prompt, API or context produced a change

QA can't keep up with the speed AI generates code

Testing cost rises as fast as delivery speed does

Audit and compliance reviews mean weeks of manual evidence gathering

Six months later, no one can explain what was missed

None of it is an AI problem — it's a missing process layer. Projexlight adds the structure, validation, traceability and audit trail around the AI tools your team already uses.

Not sure where your process stands?

Let's discover it together — 30 minutes, engineer to engineer, and you'll leave with a prioritized list of improvements.

Book a Discovery Session

Built for How Your Team Ships

The same control plane, four different reasons to adopt it. Find yours.

Startup Founders

Launch faster, with less to unbuild later

AI gets you to a demo in days, then the rewrites start. Scope drifts, nothing is tested, and the MVP becomes the thing you have to replace.

A structured plan before the first prompt, tests generated alongside the code, and a codebase your next three engineers can actually read.

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Engineering Leaders

Govern what AI ships

Your team is fast, but you can't answer which prompt produced a change, what it touched, or whether it was validated before release.

Requirement to task to prompt to API to test to deployment — traceable at a granular level, enforced rather than documented.

Book a Discovery Session
Enterprise Buyers

Traceability, compliance, controlled rollout

AI-assisted development is spreading across teams faster than your controls, and audit evidence is assembled by hand months after the fact.

A durable audit trail per change, acceptance criteria validated automatically, SSO and on-prem deployment options.

Contact Sales
Agencies & Delivery Partners

Deliver more per engineer

Fixed-price work gets eaten by rework and QA, and every client engagement rebuilds the same delivery scaffolding from scratch.

Reusable blueprints, testing generated with the build, and a handover artifact clients can audit — better margin on the same headcount.

Book a Discovery Session
Sales Intelligence SaaS Use Case — Development Metrics with Projexlight

510 APIs. 94 Behaviour-Driven Development Scenarios. Full Audit Trail.

Shipped in 7 Days.

We built LeadPulse — a complete AI-powered SaaS — fully generated, validated, and shipped using Projexlight.

Before: AI-generated changes were hard to trust. After: every change was validated before production.

9

Epics

54

Features

94

BDD Scenarios

227

Tasks

510

APIs

7

Days to Ship

90%

Less QA time

3x

Faster delivery

0

Production bugs

10x

Faster than traditional

Customer Story — LynkedUp Pro

A CRM Built with AI — and Governed Like Enterprise Software

How a founder shipped a full CRM platform using AI coding tools, without giving up the structure, traceability, and audit trail the business would need later.

Justin Johnson, Founder & CEO of LynkedUp Pro

Justin Johnson

Founder & CEO

LynkedUp Pro

We were building our CRM with AI tools and moving fast — but we couldn't answer the basic questions. Why does this module work this way? Which requirement drove it? What breaks if we change it? Projexlight gave us the plan first, then the code, with the tests written alongside it. Every feature in our CRM now traces back to a requirement, and I can hand someone the trail instead of an explanation.

Governance

Nothing gets built from a loose prompt anymore. Every module starts from an approved plan with acceptance criteria attached.

Traceability & audit

Requirement to task to API to test to release. I can pull the full history of any screen in the CRM in seconds — not reconstruct it from memory.

Coding & testing efficiency

Functional and unit tests arrive with the code, not months later. QA went from the slowest part of a release to the shortest.

Delivery speed

Scope we would have budgeted quarters for went live in weeks — and I trusted it enough to put it in front of customers.

Book a Discovery Session

Bring your CRM, platform, or product idea — we'll map it in 30 minutes.

The math behind the claim

Where the 90% Cost Reduction Comes From

Not a discount — five cost lines that prompt-based AI coding still pays manually, and a control plane removes. Compared against prompt-based, iterative development on the same scope.

Test authoring

QA writes functional and unit tests by hand after the code exists — a second pass over every feature.

Tests generated in parallel from the same structured plan that drives code generation.

Acceptance & regression runs

Manual click-through and API spot-checks before each release; coverage shrinks as velocity rises.

API and UI acceptance criteria validated automatically on every change.

Rework from re-prompting

The same feature regenerated repeatedly because context is lost between prompts and sessions.

Structured tasks carry requirement, API and context into the prompt — far fewer regeneration cycles.

Defect triage months later

No link between task, prompt, API and context — root cause becomes archaeology across chat history and commits.

Granular traceability from requirement to code to test — root cause located in minutes.

Audit & compliance evidence

Assembled by hand ahead of every review, from memory and git logs.

The audit trail already exists — who generated what, when, from which requirement, and how it was validated.

The first two lines are where most of the saving sits — test creation and repeated manual validation are the largest recurring spend in AI-assisted delivery, and both are generated and executed automatically. The remaining three compound over time, as the codebase and the audit burden grow.

Want these five lines run against your numbers?

Bring your team size, release cadence, and QA effort. In 30 minutes we'll show you where your reduction actually lands — and which line to fix first.

Book a Discovery Session

See What We Can Build For You

Browse real delivery blueprints across industries — or let us customize one for your use case.

Sales Intelligence6 epics, 108 tasks

AI CRM

View Blueprint
Healthcare7 epics, 124 tasks

Healthcare Platform

View Blueprint
Compliance & GRC6 epics, 96 tasks

AI Compliance Engine

View Blueprint
Financial Services6 epics, 104 tasks

Fintech Platform

View Blueprint
Sales Intelligence6 epics, 92 tasks

AI Sales Agent

View Blueprint
Education6 epics, 88 tasks

EdTech LMS

View Blueprint

Two Ways to Ship with Confidence

Whether you want to control your own AI-generated code or have us build it for you — Projexlight has you covered.

Primary

Use Projexlight to Control Your AI Code

Projexlight generates the blueprint, exports CLI-ready prompts to your AI tool, and validates every change in parallel — so what ships is production-ready.

  • Blueprint → CLI prompts for 9 AI tools
  • Validation runs in parallel with code generation
  • Full audit trail from requirement to deployment
  • 30-day free trial — no credit card, approval required
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Done For You

Or Let Us Build It for You

From idea to production-ready software in 2–3 weeks. We handle the engineering — you get a validated, governed, fully traceable product with source code handoff.

  • Free delivery blueprint in 48 hours
  • Pilot build in 1–2 weeks
  • Full production build in 2–3 weeks
  • You own everything — full source code
Book a Discovery Session
Our Guarantee:

Production-ready delivery with automated validation, full traceability, and minimized production risk — or we make it right.

Why Engineering Leaders Adopt Projexlight

Context Engine

Transforms ideas and PRDs into structured engineering tasks with acceptance criteria — the context AI needs to generate correct code

Validation & Testing

BDD test generation and API contract validation — automated, not manual

Parallel Validation

Validation runs alongside code generation — issues caught as they happen, not after release

CLI-Ready Prompts

Exports governed prompts to Cursor, Copilot, Claude Code — AI builds from structured tasks, not vague instructions

Full Traceability

Every change tracked from requirement to epic to task to code to deployment

Enterprise Auditability

Complete audit trail for compliance — who generated what, when, and why

Projexlight solves all six.

Built by engineers with 20+ years of enterprise delivery experience.

How It Works

Your Idea or PRD

Upload docs, describe your project, or paste requirements

Projexlight Blueprint

Epics, tasks, acceptance criteria, BDD scenarios, API contracts

AI Code Generation

CLI prompts exported to 9 AI tools — Claude Code, Cursor, Copilot & more

Parallel Validation

BDD tests + API contracts validated as code is generated

Production-Ready

Every change governed, traceable, and safe to deploy

Build It Yourself? Predictable Pricing.

Use the platform directly. Start with a single team, scale enterprise-wide. Pay only for what runs.

Most Popular

Free Trial

$0/ 30 days

Up to 5 team members. No credit card — approval required.

Perfect for startups and early-stage teams shipping their first MVP.

  • Access to all supported AI models
  • BYOK & BYOC supported
  • Full platform features
  • Community support
Start Free Trial

Pay-Per-Use

Function-based/ pay only for what runs

No monthly minimum. Scale as you go.

  • Function-based pricing
  • Pay per test suite execution
  • All autonomous AI operations
  • Email support
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Enterprise

Custom/ contact sales

Volume discounts, SSO, on-prem options.

  • Priority SLA support
  • SSO authentication (OAuth/SAML)
  • Dedicated account manager
  • Custom onboarding
Contact Sales

How teams adopt: Startups start free and ship fast. Growth teams pay only for what runs. Enterprises get custom governance contracts with SSO, on-prem, and priority SLA.

Keep the Speed of AI Coding.

Add the Control of Real Engineering.

Use the control plane yourself — or let us deliver your production-ready solution in 2–3 weeks with full governance and traceability.

Start with a 30-minute discovery session. We'll map your AI development process and show where governance, traceability and testing efficiency improve first.

Book a Discovery Session

No pitch — you leave with an improvement roadmap

Start Free Trial

Build it yourself — 30-day free trial, approval required

Or just tell us how your team builds today — we'll show you where the structure is missing.