Before you start
- Install Flock (or on macOS) and sign in.
- Flock runs its engine in a local Bridge sidecar on
localhost:5102. Schema introspection, learning, generation, and seeding all run locally.
One loop: schema in, seeded database out
1
Connect a schema
From the first-run screen, choose Connect a schema. Point Flock at a SQL DDL file or a live database connection. Flock reads tables, columns, and foreign-key relationships; that graph is what keeps the generated data FK-safe.
2
Configure the population
Open Population (under Generate). Pick a population size tier, set the age range and sex ratio, and optionally add edge-case profiles (Pediatric, Geriatric, Oncology, Maternal). The panel shows the generation limits for your plan before you run anything.
3
Generate
Run the generation. Records are produced in dependency order, so every foreign key resolves. Clinical values are grounded in public epidemiology sources (CDC, NHANES, Census), which is why the cohort’s condition mix looks like a real population instead of uniform noise.
4
Check the cohort
Open Analytics (under Learn) to see the distribution of the generated cohort, and Learn for the epidemiological references behind it.
5
Seed or export
Open Seed Database (under Generate). Export the population as FK-ordered SQL INSERTs, HL7 v2 messages, or FHIR bundles, or seed a target database directly.