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The spectrum

The Vibecoding Spectrum

Keep the speed of code and the safety of a platform.

Hybrid solution
  1. Fully vibe-codedFast, but insecure
  2. Custom app + shared platformFast and safe
  3. No coding allowedSafe, but rigid
For builders

Build fast. Build smart.

You build the value, Siesta AI carries the risk.

Focus on what only you can build

  • Idea and expertise
  • Custom frontend
  • Legacy systems
  • Proprietary data
  • Your users

Use Siesta AI for the standard parts

Security and governance
Auth and roles Approvals Audit logs Compliance Token analytics Cost limits Prompt injection prevention Security EU hosting
Building blocks
Agents Skills Workflows Memory Sandboxes Company graph Knowledge and AI search 100+ connections Any AI model
How it fits together

Pick an entry point, add the logic, choose where it lives

Every build on Siesta AI follows the same three steps. You always have a choice of entry points, so pick the one that matches your data and your users.

1Entry point

Webhook

Your system pushes structured data on a schedule or an event. The webhook triggers a workflow that runs deterministically, every time.

Best for: High volume, structured data

MCP: agent to agent

Connect an external agent to a Siesta agent. Your agent asks, the Siesta agent reasons with its own knowledge and tools.

Best for: One intelligence using another

MCP: resources

The same MCP lets outside agents read and write Siesta resources: records, collections, memory and tasks.

Best for: Direct access to building blocks

REST API

Build the agent into any application by code. Client tools let the agent call functions that live in your frontend.

Best for: A custom frontend with its own logic

Siesta AI apps

Web app for everyday work, desktop app for the computer, mobile app for the field, browser extension for legacy systems.

Best for: No frontend to build

Copilot and other agents

Publish your agent as a plugin, so Microsoft Copilot, Claude or ChatGPT can call it with your company context.

Best for: Smarter tools people already use

2Logic: the building blocks

Agents

Instructions, model, tools and knowledge in one unit.

Skills

Reusable know-how an agent loads when it needs it.

Workflows

Deterministic steps, triggers, branches and approvals.

Memory

Structured in the database, free form in markdown files.

Recordings

Audio and video from mobile or desktop, transcribed and stored as objects.

Graphs

Entities and relations your agents can traverse.

Data collections

Ingestion pipeline and RAG over your documents.

Connections

Native integrations and any system through MCP.

Sandboxes

Isolated environments where agents run code safely.

Workspaces

A project space with its own files, instructions and chats.

3Distribution

Build from your IDE

Plug Siesta AI into your coding agent Claude ChatGPT Cursor

Add the Siesta MCP to Claude Code, Cursor or any coding agent. It creates the building blocks for you, wires them together and tests them from localhost.

  • Create resourcesAgents, skills, workflows, database entities and collections from a prompt.
  • Orchestrate themConnect tools, triggers and approvals without leaving the editor.
  • Test from localhostYour local app talks to the real agents, with the same security as production.
Built on Siesta AI

Example trip planner for Hotel Jizerka

Guests ask what to do and get a trip drawn on a 3D map, with stops, timings and elevation. The frontend was vibe-coded. The agent, its knowledge and its tools run on Siesta AI.

  • Custom frontendA map-first app built for the hotel, not a generic chat window.
  • Interactive chat connected to the APIEvery message goes to a Siesta agent through the REST API.
  • Client tools control the frontendThe agent moves the map, draws the route and opens the trip card itself.
Try it yourself
Recommended steps

From idea to rollout

The path we see working for teams that ship.

  1. Plan

    Pick one process with a clear owner and a result you can measure.

  2. Prototype

    Start with one agent and real documents. Let your coding agent set it up.

  3. Test

    Run real questions from localhost and check every answer.

  4. Productize

    Turn what worked into skills, workflows and approvals.

  5. Deploy

    Ship to a pilot group in the app they already use.

  6. Train and roll out

    Name a champion per team and share the time saved.

Siesta AI running on desktop, laptop, tablet and phone

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