Tier 2

Build with GPT-5 on Orbit

Orbit routes coding and planning work to frontier models including GPT-5, and exposes OpenAI-compatible models through its unified agent platform.

GPT-5 AI Builder

Orbit's model router can drive builds with frontier reasoning models. You get a choice of model per task — and the platform routes the heavy lifting to whatever model is strongest for the job.

In plain English

GPT-5 is a frontier reasoning model. Orbit can route planning and coding to it — and to 150+ others — picking the strongest model for each step.

GPT-5 AI Builder — build, chat, research, and create media in one AI workspace on Orbit
Orbit routes coding and planning work to frontier models including GPT-5, and exposes OpenAI-compatible models through its unified agent platform.

How it works in Orbit

GPT-5-class models are the workhorses of AI apps — chat, content, coding, and analysis. Orbit builds apps that use these models through clean client patterns, with your API key or Orbit's managed routing.

Apps that call models

Orbit generates the interface for your AI feature — chat UI, prompt inputs, streaming responses — with the API call in an edge function so keys stay server-side.

  • Streaming chat UI
  • Server-side keys
  • Typed responses

Model-agnostic by design

Swap GPT-5, Claude, or any model behind the same app. Orbit structures the calls through a provider interface, so the app isn't married to one model.

  • Provider interface
  • One prompt, many models
  • Easy fallback

AI features with memory

Pair the model with Supabase for conversation history, prompt templates, and results — making the AI feature a real product, not a demo.

  • History in Postgres
  • Prompt templates
  • Result storage
  1. Describe the AI feature

    What the model should do for users.

  2. Get the UI

    Chat or form interface generated.

  3. Wire the model

    Connect your provider key.

  4. Add memory

    Store history in Supabase.

The challenge

Try it yourself

Run this one on a competitor first — then on Orbit. Same prompt, and keep score.

Build

Try this one elsewhere first.

Use a single model for a whole build, then let Orbit route each step. Compare the result quality and what you paid for the easy steps.

Research

Ask a research tool to go deep on one topic.

Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.

Chat

Ask a plain chatbot the same question.

One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.

Image & video

Generate the same image, then edit it.

Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.

150+

models routed per task

1h

cloud sandbox sessions

25

tool calls per chat turn

8–14

deep research rounds

What you can do with GPT-5 AI Builder on Orbit

150+ model router

Every task routed to the strongest model for the job.

Failover ladder

Provider outages fall back instead of erroring.

One interface

Chat, research, build, and media on a single model layer.

Compare sibling stacks

Frequently asked questions

Can I choose GPT-5 for my builds?

Orbit routes tasks to the strongest model for each job across 150+ models. Frontier models like GPT-5 are in the router's repertoire for planning and code generation.

Does Orbit include a model API key?

Orbit wires the client and edge function patterns. You bring your provider key, or use your existing routing through Orbit's supported config.

Can I swap models after the app is built?

Yes — Orbit is model-agnostic, so a GPT-5-style app can switch to Claude, Gemini, or open-weights models later by changing one provider setting, without touching the UI or prompt logic.