Open workspace
live demo · every agent here was typed, not coded

Teach it in text. Ship it as an API. Infra on us.

Every demo on this page was built exactly that way, in about a minute each. Run one right here - it calls the same API your product would.

Typed, not coded

a paragraph and an example, not a pipeline

Live in minutes

frozen into a production API the same session

Ready to embed

one call from your SaaS, batch or cron

Infra on us

GPUs, storage, retries, billing, up to 25% off models

output of three demo agents on this page

01 you type

a paragraph of plain text

02 FlyMyAI assembles

models, tools, storage, retries

03 you get

a frozen API endpoint

what was typed to build the agent above

"Generate 8 images from my brief, turn each one into a video, stitch them into a single reel, and give it back as one output."

that is the whole build step · assembled in ~1 min · then frozen

Live demos. All of them typed, not coded.

Not a template store - a shelf of live agents we built on our own infrastructure to show what it does. Each one was described in a sentence or two, assembled in about a minute and frozen. Run them here to watch the whole path work end to end, then build the same thing for your own product.

the whole path, end to end

Teach it. Freeze it. Embed it.

Three moves, about a minute each. This is the real path behind the video demos above - and the point of this page.

01 teach it in text

A paragraph and an example. That is the build step.

"Take my product brief, generate 8 on-brand shots, turn each one into a short video, stitch them into one social-ready reel and return the reel plus a summary."

GPT Image 2.0 Seedance 2.0 video stitching

Attach a reference, hit run, look at the output. The agent picks the models and wires the steps itself - you never touch a pipeline.

plain text · no code

02 freeze it as an API

One click turns the run that worked into an endpoint.

POST /api/v1/agents/compilations/{frozen_id}/run-instruction/

Versioned, with typed inputs and outputs. Every "Run this demo" button on this page hits exactly that endpoint - these are not mockups of the API, they are the API.

one click · we deploy it, you just call it

03 embed it at scale

Call it from your product. Infra on us.

GPU capacity file storage retries batch runs scheduling metered billing

One call from your SaaS, your content pipeline or a cron. Everything under it - model capacity, artifacts, retries, per-run cost - is our problem, not yours.

your product · our infrastructure

infra on us

You ship the idea. We run everything under it.

This is the part teams normally spend a quarter on: provider accounts, GPU capacity, artifact storage, retry logic, per-run cost, versioning, schedules. On FlyMyAI it is already there before you type your first sentence - and it stays there when your product starts calling the agent for real.

You bring the brief and the taste. Infra on us.

models

Every current image, video, audio and LLM family in one place - up to 25% off Google-family rates, one key for all of them.

compute & storage

GPU capacity, queues and artifact storage. Your outputs come back as URLs you can hand straight to a client.

reliability

Retries, partial-result handling and versioned compilations, so a frozen agent keeps answering the same way tomorrow.

scale & money

Batch and scheduled runs, metered per-run billing, usage you can read per agent. No provider contracts to sign.

in our crosshairs

Our infra plus a model's brain is the whole startup.

Pick a product whose core feature is really a chain of model calls, teach an agent to do it, freeze it into an API. What used to be a funding round is an afternoon. Here is the first one we shipped, in the open, with the real bill attached.

higfly

cinematic ai video · open source

built in one session

The camera-move studio a $1.3B company sells by subscription, rebuilt as one frozen agent plus camera presets you can read and edit. It calls the same frontier video models - and the bill is ~$0.20-0.50 a clip instead of a monthly plan with expiring credits.

Seedance 2.0 Veo 3.1 Kling open presets MIT

next targets loading · same recipe every time

embed surface

The demos on this page call this API

Every run you trigger above goes through this exact endpoint - a frozen agent, typed inputs, one call. Teach your own agent in the workspace, freeze the run that worked, and you get the same thing back under your own key: wire it into your B2B surface, SaaS features, creative dashboards, or high-volume media ops. Same afternoon, not next quarter - and the infra stays on us.

frozen_workflow.py compiled #231
# pip install flymyai
from flymyai import AgentClient

client = AgentClient(api_key="fly-***")
frozen_id = 231  # frozen in FlyMyAI UI

run = client.compilations.run_instruction_and_wait(
    frozen_id,
    variables={
        "prompt": "Turn this reference into 8 campaign-ready variants",
        "model": "GPT Image 2",
        "aspect_ratio": "1:1",
        "image_urls": ["https://example.com/reference.jpg"],
    },
)

print("Status:", run.status)
image_url = run.output["image_url"]
summary = run.output["summary"]