Operational workflows
Encode the work behind intake, handoffs, approvals, exception handling, and recurring operations.
- Process orchestration
- Human review gates
- Scheduled operations
For forward-deployed engineers
Turn field work into production systems.
Own discovery through rollout without inventing a new runtime for every engagement. Define the operational system in source, deploy it on Swirls, and turn what works into reusable product leverage.
Prototype fast
Files first
Deploy safely
Versioned release
Compound learning
Reusable patterns
What FDEs put into production
Build the operation, not another demo.
The hard part is not calling a model. It is translating real work into a system people can trust, adopt, and improve after the prototype lands.
AI-assisted decisions
Put model judgment inside a controlled process instead of wrapping a prompt in another one-off application.
- Research and synthesis
- Classification and routing
- Drafts and recommendations
Connected systems
Join the customer’s tools, data, policies, and people in one deployable definition the next engineer can read.
- Forms and webhooks
- Business system integrations
- Customer-facing agents
A deployment standard
The system should outlast the engagement.
Swirls gives every operational system the same complete shape. The implementation can change; the way your team authors, reviews, deploys, and operates it does not.
One system definition
Agents and workflows belong in the same release.
Put model judgment, deterministic steps, tools, triggers, access, and human reviews in files that move through a repository. Swirls validates the definition and runs the deployed version.
Reviewable
Deployable
Observable
Reusable
The FDE operating model
Prototype quickly. Leave production behind.
Stay close to the customer without trapping the result in one engineer’s laptop. Every deployment should create leverage for the next one.
- 01
Find the operational truth
Work beside the domain team. Identify the real process, its exceptions, the people responsible, and the outcome that matters.
- 02
Encode the whole system
Define agents, deterministic steps, tools, triggers, data, and approval points together in source-controlled files.
- 03
Roll out a production release
Connect the customer environment, validate the deployment, and ship an immutable version with a record of every run.
- 04
Codify what worked
Move proven patterns into shared templates and building blocks so the next deployment starts with field-tested leverage.
After the prototype
Own the outcome without becoming the runtime team.
Swirls handles the execution layer. FDEs stay focused on the operation, customer adoption, measurable workflow impact, and the next product insight.
The system lives in source
Prompts, workflows, tools, triggers, and policy change through the same reviewable process as the rest of the product.
Customer access stays isolated
Connections and secrets are scoped to the project that uses them. Reusable definitions do not carry customer credentials.
Production behavior is visible
Trace what ran, which tools were called, where time was spent, and why a workflow stopped or failed.
People stay in control
Put a review gate before consequential actions and wait for an explicit approval or rejection before continuing.
Stay close to the operation
Keep the domain team, workflow, exceptions, and measurable outcome at the center of the deployment.
Ship like a platform team
Use explicit releases, scoped access, review gates, and production traces instead of engagement-specific glue.
Feed learning back
Turn field-tested patterns into templates and building blocks that improve the product and the next deployment.
The compounding loop
Field work should sharpen the core platform, not create another island of custom code.
Every deployment should make the next one easier.
Build beside the customer. Observe what survives production. Move the proven pattern back into shared source. Swirls gives that loop one place to happen without flattening the differences that make each customer real.
See the operational builder categoryCommon questions
Before you standardize the field stack.
- Is Swirls another agent framework?
- No. Frameworks help you write agent loops. Swirls gives the complete system a deployable shape: agents, workflows, triggers, tools, connections, reviews, releases, and production traces.
- Does Swirls replace application code?
- No. Keep product-specific interfaces and domain code where they belong. Use Swirls for the operational system that coordinates models, tools, business rules, durable steps, and human decisions.
- Can each customer have different policy and integrations?
- Yes. Start from shared source, then deploy each customer into a separate project with its own connections, policy, release history, and operating data.
- Can we hand the system to the customer’s engineering team?
- Yes. The system is defined in files that can live in their repository, move through code review, and be understood without reconstructing the engagement from scripts and tribal knowledge.
Start in the field
Take one workflow.
Put it into production.
Build the working version, deploy it with the customer, and keep the pattern worth using again.