Compose, chain, and reuse blocks for consistent outputs
Drag generative, static, conditional, aggregation, and file-aware blocks, then chain outputs so tone, structure, and cost stay predictable across channels.
What's inside
Reusable library
Generative, static, conditional, aggregation, translation, image, file refs, and static parameters—pick only what you need.
Chaining without rework
Reuse generated fields (bullets → summary → meta) to keep tone aligned and reduce cost.
Grounded & governed
Static parameters and file references keep outputs on-brand; conditionals and audit guard what ships.
Design the flow, then reuse it everywhere
Preview blocks, routing, and outputs before you run at scale. Save patterns you can reuse across datasets and channels.
From blocks to channel-ready bundles
Select the right blocks
Generative, static, conditional, aggregation, translation, image
Pull only what you need from the library—keep flows lean with shared rules and scoped contexts.
Chain outputs
Reuse generated fields
Feed one generated field into the next (bullets → summary → meta) without re-prompting or copy/paste.
Aggregate for channels
Bundle outputs for exports
Combine multiple fields into channel-ready packs (title + bullets + meta) for exports and APIs.
Govern and ship
Conditionals + approvals
Use deterministic or LLM conditionals, keep file refs and parameters grounded, and send approved results to exports.
A focused set of blocks for production work
Generative, static, conditional, LLM conditional, aggregation, translation, image output, file references, static parameters, and data columns—assembled with shared rules and lean contexts.
Pick only what you need
Keep flows light by selecting the minimal set of blocks for each job.
Shared rules everywhere
Tone, safety, and formatting rules apply across blocks so outputs stay consistent.
Preview before scaling
Validate block order, branching, and outputs on real rows before running at scale.
Related pages
Reuse generated fields without re-prompting
Feed outputs forward—bullets to summary to meta, or title to ad headline to social copy—so tone and terminology stay aligned while costs drop.
Step-by-step pipelines
Chain fields in sequence to build richer outputs without repeating prompts.
Cross-channel reuse
Drive multiple channels from one source field—PDP, ads, SEO, social—without drift.
Cost control
Reusing fields reduces token spend and keeps performance predictable.
Related pages
Assemble channel-ready bundles
Merge multiple outputs into one deliverable—titles, bullets, meta, FAQs, or specs—so exports and APIs stay consistent.
Channel-ready packs
Bundle outputs for PDPs, SEO feeds, or ads without rebuilding mappings.
Consistent structure
Aggregation keeps formatting predictable for downstream exports and agents.
Fewer re-runs
Adjust composition once and reuse the same pack across datasets and channels.
Related pages
Static parameters and file references keep outputs on-brand
Define constants and attach files (guidelines, specs, PDFs) to ground generations, reduce hallucinations, and keep teams aligned.
Static parameters
Store reusable brand terms and policies once, then inject them across blocks.
File references
Attach PDFs, logos, or specs to ground prompts and keep outputs accurate.
Safety & consistency
Pair parameters and files with approvals so only grounded outputs ship downstream.
Related pages
Patterns you can reuse across teams
Apply ready patterns for SEO copy, cross-channel ads, enrichment packs, and QA-first revisions—grounded, scoped, and approval-aware.
Titles, bullets, meta, FAQ
Chain outputs and aggregate into a single SEO-ready bundle with shared rules and SEO context.
Output + SEO contexts
Aggregation for exports
Approvals before publish
Chain outputs and aggregate into a single SEO-ready bundle with shared rules and SEO context.
Output + SEO contexts
Aggregation for exports
Approvals before publish
Reusable blocks
Generative, static, conditional, aggregation, translation, and image blocks ready to mix.
Chaining
Feed generated fields forward to keep tone aligned and reduce cost.
Aggregation
Bundle outputs into channel-ready packs for exports and APIs.
Grounded outputs
Static parameters and file refs keep generations on-brand and accurate.
Conditional control
Use deterministic or LLM conditionals to branch with intent.
Approval-aware
Pair blocks with audit so only vetted content ships downstream.