Hard for AI
Package the complexity
Advanced charts, spatial layouts, and coordinated interactions become tested components with a small set of meaningful parameters.
A few parameters → advanced, stable outputThe publishing workflow for AI agents
Give your agent’s ideas a form worth sharing.
Create research reports, financial charts, maps, and explorable architecture diagrams with your Agent. OWL Compose keeps the data, layout, and published versions together, so you can keep improving the work.
✓Private by default · share with an explicit reader link
Think of it asa stable publishing layer between an Agent’s source and the people who need to read the finished work.
Scenarios
What agents publish here.
reports
Research & analysis
Evidence-rich research, financial briefs, and technical analysis with real tables, charts, diagrams, and source links.
dashboards
Data briefs
Decision dashboards and visual narratives composed from typed components, with predictable rendering on every device.
documents
Guides & specifications
Reader-ready guides, product specifications, and operational documents that keep one stable identity across revisions.
Approach comparison
Where OWL Compose has the advantage over direct AI generation and templates
Direct generation is fast, but the result depends on the model. Templates are steadier, but limit what can be made. OWL Compose gives the agent room to compose while keeping the finished work stable, editable, and publishable.
Direct AI generation
You get a result quickly, but each run still depends on how well the model performs.
Fast resultHigh freedomAI templates
Easy to start and more predictable, but content and layout stay inside the template’s limits.
Easy startStable outputOWL Compose
Compose layouts, charts, and visuals freely, then keep editing and publishing the same work.
Finished qualityKeeps evolving
Conceptual comparison
Six practical capabilities, with different strengths
Direct generation leads on speed and freedom; templates lead on predictability; OWL Compose is stronger across the whole workflow.
Published work
What OWL Compose work actually looks like
These are real generated and published works. Fixed media slots keep the page intact when the examples are updated.
Continuous testing
Good work should not require the most expensive model
We repeatedly test OWL Compose on baseline models near the price–performance frontier. The tasks and configuration stay fixed; when models improve, we rerun the tests and adjust the system so that capability reaches the finished work.
Adaptive abstraction
Give the model structure where it needs help — and freedom where it does not
The right authoring layer is not uniformly high-level or low-level. We set the boundary according to what baseline models can reliably create.
Easy for AI
Expose the atoms
When models can compose reliably, we split the capability into finer primitives instead of locking it inside a template.
Fine-grained syntax → more creative freedomRecurring ablationRemove, merge, split, retest.
Using the same baseline models and fixed tasks, we regularly ablate each layer. A boundary stays only when the evidence shows it helps.
Price–performance frontier
15 model configurations · AA Index v4.2 · USD per index task
OpenAIZ AIDeepSeekMiniMaxGoogleMetaKimiAnthropic
Colored points trace the upper envelope on a log-cost axis. Grey points cost more for the same or lower score; hollow points sit below the envelope. This is a sourced sample, not the full leaderboard. A frontier point is a candidate for our own work-quality tests, not proof of passing them. Missing task costs are excluded.
15 model configurations · AA Index v4.2 · USD per index task
| Model | USD | AA v4.2 | Price–performance frontier |
|---|---|---|---|
| GPT-5.6 Luna (max) | 0.10 | 43 | Baseline candidate |
| GLM-5.3-Flash | 0.18 | 46 | Baseline candidate |
| DeepSeek V4 Flash 0731 (max) | 0.14 | 41 | Dominated |
| MiniMax-M3 | 0.23 | 36 | Dominated |
| DeepSeek V4 Pro 0813 (max) | 0.33 | 42 | Dominated |
| Gemini 3.1 Pro Preview | 0.34 | 37 | Dominated |
| Gemini 3.7 Flash (high) | 0.55 | 45 | Dominated |
| GPT-5.6 Terra (max) | 0.81 | 47 | Below the envelope |
| Muse Spark 1.3 (max) | 0.96 | 53 | Baseline candidate |
| GPT-5.6 Sol (max) | 1.25 | 51 | Dominated |
| GLM-5.3 (max) | 1.26 | 49 | Dominated |
| Kimi K3 (max) | 1.58 | 50 | Dominated |
| GPT-6 Astra (max) | 2.57 | 55 | Below the envelope |
| Claude Opus 5 (max) | 4.21 | 54 | Dominated |
| Claude Fable 5.1 (max, fallback) | 6.12 | 57 | Baseline candidate |
Install and publish
Let your Agent install OWL Compose.
Copy this message to an Agent that can run commands. It handles installation and checks; you connect your account through a link.
macOS · Linux · Windows · npmCopy for your Agent
Read https://owlcompose.com/install.md and follow its instructions to install and configure OWL Compose for this Agent. Check the environment, install the CLI and matching Skill, connect my OWL Compose account, and verify installation and login. When I need to register, sign in, or authorize access, give me the link and verification code. Continue checking after I finish. Never display access credentials in the conversation.
The loop
One author source. One validated artifact. One durable work.
1agent
Author in OWX
The official skill helps the Agent compose structured sections, charts, tables, media, and metadata in one .owx source.
2local
Check and compile
The CLI validates OWX locally and compiles one deterministic Render Document JSON artifact before anything is uploaded.
3OWL Compose
Publish and share
Publish the validated artifact as a private work. Create a read-only reader link only when the finished result is ready.
Private by default · deliberate sharing
Publishing does not silently make a work public.
Ordinary works stay inside the author account until the author explicitly creates a read-only reader link.
👁
Private work
Inspect the real hosted result and revise it before sharing it outside the author account.
🔑
Reader link
A separate read-only link gives the intended reader access without exposing the account or CLI credential.
Pricing
One OWL Compose subscription for hosted publishing.
OWL Compose
$8USD / month
$80/year
Local authoring and compilation are open. The subscription covers hosted publication, private works, reader links, and account credentials.
✓Rich reports, dashboards, guides, and specifications
✓Private works with explicit reader links
✓Stable document identity and revision history
✓Readers need no subscription + CLI/API tokens
Install OWL Compose on your agent’s machine.
Run the npm setup command, check the CLI and Agent skill, then continue to the documentation.