Write the skill
Use natural language, references, and tools. Let technical and non-technical teammates shape what good looks like.
SKILL.md + references
The graduation layer for AI work
Discover with skills.
Ship as code.
Skills are perfect for finding the workflow. Rote turns the parts that should repeat into typed, reviewable code—without losing the judgment calls that still need AI or a human.
graduation / ticket-triage● complete
SKILL.md
Read the ticket, verify the account,
route by severity, draft a response…
Read the ticket, verify the account,
route by severity, draft a response…
graduated into
verify_accountpure_function
route_severitypure_function
judge_ambiguityllm_judge
create_ticketexternal_call
run 01 ✓
run 02 ✓
run 03 ✓
Apache 2.0open source CLI
6 runtimesfrom Python to Cloudflare
5 node kindsone portable typed DAG
pre-1.0built in the open
From exploration to operation
Keep the magic.
Remove the guesswork.
Agents are excellent at discovery. Repeating a discovered process with another open-ended agent loop is expensive, slow, and hard to test. Rote finds the boundary.
Extract the routine
Rote classifies each step, lifts deterministic logic into modules, and preserves bounded AI and human decisions.
pipeline.yaml + typed modules
Run it as code
Review, test, version, and deploy the workflow to the durable runtime you already trust.
DBOS · Temporal · Cloudflare · more
A real command, not a new platform
Skill in.
Workflow out.
Point Rote at an Anthropic-style skill. The output is runtime-agnostic IR, extracted modules, typed judge signatures, and deployable runtime code.
# run without installing
$ uvx --from rote-cli rote graduate ./my-skill \
--runtime cloudflare --out ./graduated
✓ analyzed 19 steps
✓ extracted 15 deterministic nodes
✓ preserved 4 bounded decisions
✓ emitted Cloudflare Workflow
$ cd graduated && wrangler deploy
$ uvx --from rote-cli rote graduate ./my-skill \
--runtime cloudflare --out ./graduated
✓ analyzed 19 steps
✓ extracted 15 deterministic nodes
✓ preserved 4 bounded decisions
✓ emitted Cloudflare Workflow
$ cd graduated && wrangler deploy
One workflow model. Two ways to run it.
Own the stack.
Or skip the ops.
The open-source CLI defines the portable workflow. Cloud is the managed execution path—not a different, locked-down product.
Open source
Rote CLI
Graduate locally, inspect every artifact, and deploy to infrastructure you control.
- Apache 2.0 licensed
- Portable typed DAG
- DBOS, Temporal, Python, Cloudflare, DBOS TS, Inngest
- Your models, data, and runtime
Managed execution
Rote Cloud
Deploy graduated pipelines to isolated, durable Cloudflare Workflows and measure what matters across real runs.
- Managed durable execution
- Measured speed and cost per run
- Repeated-run determinism reports
- Tenant-isolated pipeline artifacts
Why graduate?
Repetition changes the economics.
Exploratory work should stay exploratory. When a skill has run twenty times and needs to run a thousand more unattended, code earns its keep.
Rote's own results depend on the workflow. These figures are from independent research comparing agentic and deterministic implementations at scale.
Read the research ↗57×fewer tokens at 1,000 transactions
450×lower median latency
100%reproducibility in the deterministic implementation
~40×lower TCO at 1M transactions / month