Manisa Tecnologia

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Live products and real proof of what Manisa has already built and can operate in the real world.

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Live productB2C experienceInstitutional path

História Desenhada

A live product built by Manisa for mothers and families, with payments, delivery, support, and a separate institutional path running on the same base.

Live case study

História Desenhada is the proof, not a concept deck

This is the kind of shipped product we mean when we talk about supervised AI systems, buyer-facing clarity, and operator-ready delivery. On Manisa, História Desenhada appears first as proof of what we already built. The separate institutional path matters because it shows the same product base can support more than one buyer journey.

4

languages supported

The product is already available in four languages.

8

registered agents in the operating system

Operations, support, billing, and monitoring already run with supervised agent support behind the product.

2,300+

completed agent runs

The internal operating layer has logged over two thousand completed runs across support, billing, monitoring, and incident agents.

9

scheduled operational jobs

The platform already runs recurring operational checks and support flows on a real cadence.

What the shipped product demonstrates

A live B2C product, not a concept

The public family-facing experience already runs in production with real buyers, payments, delivery, and support.

A separate institutional path on the same base

The same product foundation also supports a separate institutional path without turning the Manisa page into a B2B landing page.

Operational visibility behind the scenes

Support, billing, incidents, review flows, and morning triage all exist to keep the live product reliable after checkout.

Built with

  • Next.js App Router
  • TypeScript + Prisma
  • Neon PostgreSQL
  • Redis + BullMQ
  • Supervised AI agents
  • Admin and review tooling

Proof from the live system

What the operating layer looks like in practice

Agent registry showing 8 governed agents with defined schedules, scopes, and escalation paths
Agent registry: 8 registered agents with schedules, tool scopes, memory limits, and human escalation paths defined for each one.
Agent run history showing over 2,300 completed runs with consistent success
Agent run history: over 2,300 completed runs logged across support, billing, and monitoring agents with consistent execution.
Remediation actions page showing a proposed action awaiting human approval
Human approval flow: proposed remediation actions require explicit operator approval before execution.

Clear for people, structured for systems

Why agent-ready websites matter now

Most company websites were designed for one mode of discovery: a human opening a page and reading it. That is still essential, but it is no longer the whole picture. AI assistants, procurement tools, and internal systems are starting to evaluate vendors, compare offers, and retrieve company information too.

An agent-ready website does not replace the human site. It makes the same offer clearer, more consistent, and easier to understand across buyers, AI-mediated search, internal reuse, and future machine-to-machine discovery.

For human buyers

The site still needs to be clear, persuasive, and easy to navigate. Better structure sharpens the message, keeps pages aligned, and makes the buyer journey easier to trust.

For AI systems and internal tools

The same services, products, and contact paths can be exposed in a clearer structure so assistants, procurement workflows, and internal systems understand the company without guesswork.

Stronger discoverability

When buyers and AI tools search for providers, a clearer website makes it easier to understand what the company does and where each offer fits.

Consistent company information

Services, products, and contact paths come from one source, which reduces contradictions between pages, internal documents, and machine-readable layers.

Easier vendor comparison and procurement

As more business buying includes AI-assisted comparison, a structured website makes the company easier to evaluate without relying on scraped fragments or manual clarification.

Better internal reuse

The same structured offer can be reused in internal tools, automations, proposals, and AI systems instead of being retyped differently in every place.

Future-ready without hype

This is not about adding gimmicks to a brochure site. It is about preparing the company’s public surface for the next layer of business discovery while improving the current site too.

A cleaner sales surface today

The same work that makes a site easier for AI systems to understand also usually makes it clearer, more disciplined, and more useful for human buyers.

This site is the proof

The Manisa website already works this way. What a buyer reads here is kept clear for people, but it is also structured so AI systems and internal tools can understand the company more reliably. That is not just something we did for ourselves. It is now part of the Product Studio capability we offer to clients.

Manisa Tecnologia

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Products | Manisa Tecnologia