Tilebox News

A clearer place to start

Stefan Amberger — Thu, 17 Sep 2026 00:00:00 GMT

We’ve rebuilt tilebox.com. We want our website to evolve with the product, and we can now make changes much faster.

We focused on clarity, speed, and accessibility. You should be able to find the information you need to decide whether Tilebox fits your work. We also updated the quickstart in the console to help you get a first result sooner.

Laura used it to make a satellite timelapse of her hometown, Valencia. The video below shows the result, followed by the tasks and logs behind it. You can try the quickstart and open the Python code in the console to see how it works.

A satellite timelapse of Valencia, followed by the task timeline and logs in the console.

I hope you enjoy exploring the site. If you can’t find an answer, or something doesn’t work, tell us on Discord. That will help us decide what to improve next.

Tilebox Live from Your Terminal: A CLI for Humans and Agents

Lukas Bindreiter — Tue, 26 May 2026 00:00:00 GMT

Command Line Interface (CLI) tools were built for humans, but today’s coding agents need definitive structure and rules. We’ve designed our CLI for both.

Humans get a clean, readable terminal experience with familiar commands
AI agents get structured, predictable output they can reliably parse and act on

Tilebox CLI

With this release, developers, operators, and coding agents gain a direct access point to Tilebox from the terminal: inspect datasets, query datapoints, submit workflow jobs, read logs, search docs, and discover the whole command surface without leaving the shell.

The release is built around a simple idea: a CLI should be readable for humans and precise enough for agents. Humans need concise commands, useful terminal output, and familiar verbs. Agents need structured output, bounded results, clear validation, and machine-readable descriptions of what each command accepts and returns. Tilebox CLI supports both use-cases right from the very first release.

Tilebox CLI for Humans (left) and Agents (right)

Agent-native CLI design principles

Agent support isn’t one feature. It is a set of design choices that reduce ambiguity every time a command runs.

Consistent vocabulary: Commands are grouped into clear families such as dataset , job , and cluster , and use consistent verbs such as list , get , create , update , delete , and submit .
Structured output: Every commands accepts a --json flag, which gives agents parseable results without changing the command a human would use.
Structured discovery: tilebox agent-context exposes commands, arguments, flags, descriptions, and output schemas as JSON.
File-based input: Commands support shorthand input for small values and file input for larger generated content; for example, tilebox dataset create accepts both --description and --description-file .
Async-aware workflows: Commands that trigger asynchronous execution can wait on output, avoiding fragile polling loops in scripts and agent workflows.
Bounded and paginated results: All list operations expose explicit --limit and --cursor flags, so agents can control output size and explicitly paginate when requested.
Actionable validation: Validation errors are concise and explain how to fix the input.

> tilebox job list  --state unknown
error: --state must be one of: submitted running started completed failed canceled (got: 'unknown')

Usage:
--state: comma-separated job states: submitted,running,started,completed,failed,canceled

These choices also improve the human experience. A predictable CLI is easier to use, easier to script, and easier to debug when something goes wrong.

Command context for agents

tilebox agent-context is the main agent-native interface in the CLI. It returns machine-readable command metadata directly from the binary, so an agent can inspect the available commands before deciding what to run.

tilebox agent-context

The context can be scoped to one command:

tilebox agent-context job list

For commands with structured output, agents can request the output schema before executing the command:

tilebox agent-context job list --output-schema

For tilebox job list, the schema describes fields such as jobs, next_cursor, sort_order, job id, state, submitted_at, progress, and execution_stats. An agent can use that schema to choose a jq expression, decide whether pagination is needed, or validate the output it receives.

Agent skills for Tilebox

Alongside the CLI, we are publishing tilebox/skills: Agent Skills that explain how agents can best use the Tilebox CLI. The CLI exposes the command surface and output schemas; the skills teach agents how to combine those commands into reliable Tilebox workflows.

npx skills add tilebox/skills

Together, --help, agent-context, and Tilebox Skills give humans and agents the right level of guidance for the task at hand.

Start using the Tilebox CLI

Tilebox CLI v0.1.0 is available now. Install it, create an account and API key in the Tilebox Console to get started:

> curl -fsSL https://install.tilebox.com/wizard.sh | sh

> tilebox dataset list

> tilebox dataset query open_data.copernicus.sentinel2_msi \
  --last 7d \
  --spatial-extent 'POLYGON((-109.05 41,-109.05 37,-102.05 37,-102.05 41,-109.05 41))' \
  --limit 10

Read the docs or Sign up

Gearing up for SatCamp 25

Lukas Bindreiter — Tue, 23 Sep 2025 00:00:00 GMT

As the SatCamp community gathers in Boulder, Colorado for its 3rd edition, the focus turns to some of the most urgent themes in space and technology: Innovation and Disruption, Climate Change Mitigation, and Social Cohesion. These themes frame the conversations that matter most today, highlighting both the challenges we face and the opportunities to shape a more resilient, connected future.

To mark the occasion, we created a Sentinel-2 Mosaic centered on the mountains surrounding Boulder, the backdrop for this unique event. From orbit, the scene is a reminder of how perspective shifts with scale, connecting the global view from space to the very local place where this community comes together to share ideas.

This mosaic builds on an earlier visualization created over Ireland, where we explored the process behind assembling a cloud-free view. Taken together, these mosaics show how satellite imagery, shaped with context, can link the broad perspective of orbit to the specific places where people gather. For SatCamp, that connection offers a reminder of how a global vantage point can frame conversations around innovation, climate, and community, or even help check the hiking routes that wind through the mountains around Boulder.

Source: Sentinel-2 imagery from September 2025.

Want to go deeper into the workflow? Read the full Ireland case study.