content/digital-product

Digital Product Factory — Reddit research to sellable digital product with PDF, landing page, and distribution.

Category: content
Source: workflows/content/digital_product.py

Input Schema

Field	Type	Default	Description
`min_quality_score`	`number`	`6.0`	Min PDF quality score (1-10)
`niche_override`	`string`	`""`	Override auto-detected niche
`platforms`	`string[]`	—
`price_range`	`string`	`"$19-$29"`	Target price for positioning
`product_type`	`string`	`"guide"`	Product format
`quality`	`string`	`"standard"`	Quality/cost preset
`regenerate`	`object`	—	When set, this run is a regeneration. Workflows may read `direction` / `keep` / `extra_instructions` to modulate prompts; the engine persists `parent_run_id` and `parent_variant_index` as run lineage columns.
`tone_mode`	`string`	`"conversational"`
`topic`	`string`	`""`	Topic or niche, e.g. ‘AI security for founders’
`variants`	`integer`	`1`	Number of independent variant executions (1–10). When > 1, the engine runs the workflow N times with different sampling, producing N outputs.

Output Schema

No schema defined.

Task Pipeline

research_reddit → select_audience → lock_brand_voice → refine_problems → generate_hooks → design_solution → structure_pdf → generate_pdf_content_v1 → quality_gate_pdf → generate_pdf_content_v2 → generate_pdf_design → merge_product_assets → render_pdf → generate_landing_page → generate_gumroad_page → generate_social_visuals → generate_distribution → generate_email_sequence → merge_gtm_assets → package_output

Task	Description
`research_reddit`	Search Reddit for real problems, frustrations, and emotional language around the topic.
`select_audience`	Identify the highest-value, most monetizable audience segment from Reddit data.
`lock_brand_voice`	Define and lock a brand voice guide that all downstream content tasks use.
`refine_problems`	Extract and refine problems from Reddit data into sellable pain points.
`generate_hooks`	Generate 20-40 high-conversion hooks using existing hook generation infrastructure.
`design_solution`	Design the product’s value architecture — the transformation it delivers.
`structure_pdf`	Create a detailed PDF outline based on the solution framework.
`generate_pdf_content_v1`	Generate full V1 PDF content section by section, maintaining coherence.
`quality_gate_pdf`	Evaluate V1 content quality. Fails below threshold to trigger retry.
`generate_pdf_content_v2`	Expand V1 into a premium V2 with case studies, worksheets, and bonus content.
`generate_pdf_design`	Generate a visual design system and CSS stylesheet for the PDF.
`merge_product_assets`	Merge product creation branches: content (Branch A) + design (Branch B).
`render_pdf`	Render markdown content + design system into production-quality PDF.
`generate_landing_page`	Generate a conversion-optimized, SEO-ready landing page as self-contained HTML.
`generate_gumroad_page`	Generate Gumroad-ready product page copy.
`generate_social_visuals`	Generate social media visual assets — cover, social cards, carousel slides.
`generate_distribution`	Generate a full social media text distribution pack.
`generate_email_sequence`	Generate a 5-email launch sequence.
`merge_gtm_assets`	Merge go-to-market branches into a single dict.
`package_output`	Bundle all outputs into a .tar.gz archive and save as a single artifact.

Run-spec example

Save the YAML below as my-run.yaml, edit the values, and run with the CLI or POST it to the API. Required fields are uncommented; optional knobs are documented above the input: block — copy any line under input: and uncomment to set.

workflow: content/digital-product

# Optional fields — copy any line(s) under `input:` and uncomment to set:
# Min PDF quality score (1-10)
#   min_quality_score: 6.0
#
# Override auto-detected niche
#   niche_override: ""
#
#   platforms: []
#
# Target price for positioning
#   price_range: $19-$29
#
# Product format
#   product_type: guide
#
# Quality/cost preset
#   quality: standard
#
#   tone_mode: conversational
#
# Topic or niche, e.g. 'AI security for founders'
#   topic: ""
#

input: {}

Run it locally:

fab-workflow --from-file my-run.yaml

Or submit over the wire — the same file is the request body:

curl -X POST 'https://gofabric.dev/v1/workflows/runs?name=content/digital-product' \
  -H 'Authorization: Bearer fab_xxx' \
  -H 'content-type: application/yaml' \
  --data-binary @my-run.yaml

Every workflow also accepts the universal WorkflowInput fields — variants (1–10 fan-out) and regenerate (creative-direction hints with run lineage). See Run-specs (YAML / TOML / JSON) for the full top-level shape (metadata, priority, bundle, parent, etc.).

Warnings

Last user task package_output has no Pydantic return type — workflow output schema is null. Declare a WorkflowOutput subclass and pass it to Flow(output=…) for a strict contract.
Task merge_product_assets has no Pydantic types — contract is opaque to consumers.
Task merge_gtm_assets has no Pydantic types — contract is opaque to consumers.