An AI Control Plane that sits on top of Claude, Cursor, Antigravity, Amazon Q and the rest of your AI toolchain.
It turns prompt-based coding into a structured, enterprise-grade development process — project plan and delivery structure, tests generated in parallel with the code, API and UI acceptance criteria validated, and governance, traceability and auditing enforced across the lifecycle.
Prompt-based development keeps no granular record — which task, which prompt, which API, which context. Six months later, when the production issue finally lands, there's nothing left to reconstruct.
3X faster delivery, up to 90% lower testing cost — with the control, visibility and governance enterprises need to scale AI-assisted development.
Takes 2 minutes. No signup required.
We'll generate your report and send you a secure link to download results + setup guide.
What happens after you click:
→ Full report in ~2 minutes
Docker sandbox · Read-only · Code never leaves your machine
Fully inspectable before you run it. No installs. One command to remove everything.
Works with Cursor, Claude Code, Copilot — no reconfiguration needed
From insight to action:
Fix what's broken. Build what's next. Ship with confidence.
Move from analysis to production 3x faster
Measured against prompt-based, iterative development — including our own production build, LeadPulse:
Not ready to run it yet? — no setup required.
Want to talk it through first? Map your AI development process with us — 30 min, no pitch
Instantly see: failure points, drift risks, and missing validation
3,241 AI projects analyzed for failure points
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.
Map My AI Development ProcessWe 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
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.
Run the Math on My TeamBrowse real delivery blueprints across industries — or let us customize one for your use case.
Whether you want to control your own AI-generated code or have us build it for you — Projexlight has you covered.
Projexlight generates the blueprint, exports CLI-ready prompts to your AI tool, and validates every change in parallel — so what ships is production-ready.
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.
Production-ready delivery with automated validation, full traceability, and minimized production risk — or we make it right.
Transforms ideas and PRDs into structured engineering tasks with acceptance criteria — the context AI needs to generate correct code
BDD test generation and API contract validation — automated, not manual
Validation runs alongside code generation — issues caught as they happen, not after release
Exports governed prompts to Cursor, Copilot, Claude Code — AI builds from structured tasks, not vague instructions
Every change tracked from requirement to epic to task to code to deployment
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.
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
Use the platform directly. Start with a single team, scale enterprise-wide. Pay only for what runs.
Up to 5 team members. No credit card — approval required.
Perfect for startups and early-stage teams shipping their first MVP.
No monthly minimum. Scale as you go.
Volume discounts, SSO, on-prem options.
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.
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.
No pitch — you leave with an improvement roadmap
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.