Multi-agent build pipeline, live fast

An agent team that plans, builds, and ships your business software

Adish AI turns a plain-language brief into a production-ready website or app — designed by a Planner agent, built by a Builder agent, and hardened by a Reviewer agent, before it ever reaches you.

No credit card required Live fast Own your code, always
adish ai · build pipeline
Planner
✓ spec ready
Builder
⟳ generating
Reviewer
queued
[plan] planner: parsed brief → sitemap, booking flow, Stripe
[build] builder: scaffolding project · tests · CI pipeline
[review] reviewer: running security & a11y audit…
[ship] reviewer: no critical issues · deploying to production
How it works

Three agents. One pipeline. Zero babysitting.

Every project moves through a structured, multi-level agent pipeline — each agent has a narrow job and hands off clean, verified work to the next, the same discipline a senior engineering team would use.

01

Planner agent

Interprets your goals, audience, and must-have features, then turns them into a structured spec: sitemap, data model, integrations, and success criteria — before a single line of code is written.

requirementsarchitecturesitemap
02

Builder agent

Generates the real, working codebase from the plan — frontend, backend, database schema, tests, and CI/CD — using production frameworks and clean, conventional project structure.

codegentestsCI/CD
03

Reviewer agent

Audits every build for security vulnerabilities, accessibility, performance, and correctness against the original spec — then either ships it or sends it back with fixes attached.

security scanQAsign-off
Nothing reaches production unreviewed. The Reviewer agent can bounce work back to the Builder automatically — you only see a build once it passes.
Features

Everything a production launch needs, built in

Adish AI doesn't stop at a pretty page. Every project comes with the infrastructure a real business depends on.

Fast iteration

Describe a change in plain language and the agent pipeline replans, rebuilds, and re-reviews the affected parts quickly — not over sprints.

Secure by default

Auth, input validation, dependency scanning, and secrets management are configured from the first commit — not bolted on after a breach.

Production infrastructure

Hosting, CDN, managed database, backups, and monitoring are provisioned automatically — the same stack a senior DevOps hire would set up.

Automated testing

Unit, integration, and visual-regression tests are generated alongside your code, then run on every change before it ships.

Ready to serve immediately

Every build deploys to a live, production URL with SSL, custom domains, and rollback support — no separate "go live" step.

Portable, standard code

No proprietary runtime or lock-in format — your project is plain, idiomatic code any developer can open and understand immediately.

Security & trust

Secure from the first commit, not the first incident

The Reviewer agent runs a dedicated security pass on every build — before your customers ever see it. Security isn't a checklist item, it's a gate.

Encrypted by default

TLS everywhere, encrypted data at rest, and managed secrets — never hard-coded credentials.

Automated vulnerability scanning

Dependencies and generated code are scanned against known CVEs and OWASP Top 10 patterns before every deploy.

Audit trail on every build

Full history of what each agent changed and why, with the Reviewer's findings attached — nothing ships silently.

Continuous monitoring

Uptime, error rates, and anomalous traffic are watched post-launch, with alerts routed straight to you.

Reviewer agent audit report

Sample output attached to every build before it reaches production.

Dependency scan: clean
Auth flows verified
Input validation: pass
HTTPS & headers set
Secrets: none exposed
Accessibility: AA
For developers

Built to outgrow us, on purpose

Every Adish AI project is exported as a standard, well-organized codebase — no proprietary framework, no black box. Hand it to an in-house developer or agency whenever you're ready, and they'll be productive on day one.

01

Standard stacks, not lock-in

Common, widely-taught frameworks and conventional folder structure — nothing exotic to reverse-engineer.

02

Readable, documented code

Clear naming, sensible modules, and inline docs where logic isn't self-evident — written like a human review would demand.

03

Full git history

Every agent commit is atomic and labeled, so a new developer can trace exactly how the project evolved.

04

Export anytime

One click to pull the full repository, environment config, and infra-as-code — no migration fee, no waiting period.

project/
README.md
deploy.yml
// Exported project structure — plain, portable, yours project/ ├── src/ │ ├── components/ │ ├── routes/ │ └── lib/ ├── server/ │ ├── api/ │ └── db/schema.sql ├── tests/ │ ├── unit/ │ └── e2e/ ├── infra/ │ └── deploy.yml ├── .env.example └── README.md export function createOrder(input) { const parsed = OrderSchema.parse(input); // validated return db.orders.insert(parsed); }

Your business is ready for its site. Are you?

Tell Adish AI what you need — the agent pipeline handles planning, building, security, and deployment while you run your business.

No credit card required · Free plan available · Cancel anytime