Call AI by wrapper code.Skip prompt engineering.
Choose a tested wrapper, add structured inputs or files, and get consistent AI output—without maintaining prompts.
Includes 10,000 welcome credits. No card required.
Find a use case for your task
Search by outcome, not by prompt wording.
Popular starting points
Choose an outcome and inspect its ready-made workflows.
Execute wrapper-powered workflow
The app calls a packaged task. Zywrap handles the prompt behavior.
// npm install zywrap
import Zywrap from 'zywrap';
const zywrap = new Zywrap('YOUR_API_KEY');
const response = await zywrap.execute({
wrapperCodes: [
'mc_cold_outreach_email_b2b_base'
],
input: {
productName: 'Zywrap',
audienceRole: 'Head of Engineering',
offer: 'AI workflow API',
triggerEventOrPain: 'Rebuilding prompts'
},
model: 'openai-gpt-4o',
});
Prompt
packaged
Inputs
fields/files
Output
structured
Usage
tracked
80+
Categories
Commercial, technical, content, support, data, legal, and operations workflow areas.
14K+
Use cases
Real tasks with inputs, defaults, prompt behavior, guardrails, and output intent.
125K+
Wrappers
Callable wrapper codes that package prompt logic for API, SDK, and dashboard testing.
25K+
Featured workflows
Curated variations across tone, format, style, complexity, and response goal.
Stop rebuilding the same AI workflow around every model call.
A raw AI API gives you model access. Zywrap gives you a repeatable workflow interface around the model call.
Normal prompt workflow
Too much custom prompt plumbing
Every feature becomes a prompt project: wording, rules, model tests, output formatting, error handling, and cost tracking.
Zywrap-powered workflow
Prompt logic becomes callable infrastructure
Developers choose a wrapper code, pass the relevant data or files, receive structured output, and get run, saved-output, and cost records automatically.
Start from categories users already understand.
The homepage highlights commercial and developer-friendly categories. The full Explore library remains searchable across 80+ categories, 14K+ use cases, and 125K+ wrappers.
Marketing Copywriting
Campaign ideas, landing-page copy, positioning, hooks, CTAs, and ad variations.
Email Writing
Cold outreach, follow-ups, lifecycle emails, transactional messages, and reply drafting.
Customer Support Replies
Ticket replies, troubleshooting macros, escalation updates, refunds, and tone-safe answers.
Product Copywriting
Feature pages, UX microcopy, onboarding text, product launches, and benefit-led copy.
Documentation & API
API references, SDK guides, examples, integration docs, changelogs, and developer explanations.
API Contracts & Schemas
OpenAPI, JSON Schema, request/response contracts, validation rules, and schema transforms.
SQL Query Generation
Reporting queries, joins, migrations, query explanations, optimization, and database analysis.
E-commerce Descriptions
Product descriptions, PDP bullets, category copy, SEO text, bundles, and comparison copy.
A wrapper code is the product interface.
Users do not start by writing a prompt. They select a wrapper code, pass required inputs or files, and receive output shaped by the wrapper's built-in prompt logic.
Marketing Copywriting
Cold outreach email for B2B buyers
wrapperCode
mc_cold_outreach_email_b2b_base
Example inputs
- • productName: Zywrap
- • audienceRole: Head of Engineering
- • offer: AI workflow API
- • triggerEventOrPain: rebuilding prompts
Typical output
- • Relevant subject line
- • Personalized email body
- • Low-friction CTA
Customer Support Replies
Apology after a poor customer experience
wrapperCode
csr_general_apology_response_base
Example inputs
- • caseId: CS-74520
- • negativeExperienceSummary: repeated billing errors
- • nextSteps: billing review in progress
Typical output
- • Sincere acknowledgement
- • Customer-facing apology
- • Clear next step and follow-up
API Contracts & Schemas
OpenAPI contract from endpoint specs
wrapperCode
aco_openapi_contract_from_spec_base
Example inputs
- • apiName: Billing API
- • version: 1.0.0
- • endpoints: request and response definitions
- • specFormat: OpenAPI 3.1 YAML
Typical output
- • Complete OpenAPI document
- • Reusable component schemas
- • Documented operations and errors
Wrapper intelligence plus workflow infrastructure.
Zywrap combines tested AI behavior with the operational tools required to use it inside real products.
Sync and async runs
Execute now or queue workflow runs with status, steps, trace IDs, idempotency, and safe retries.
Files and saved outputs
Attach files as workflow context and keep generated outputs ready to download or reuse.
Usage and cost tracking
See which model ran, what it cost, which key started it, and where the result was saved.
API access and controls
Use developer keys, optional provider keys, guardrails, rate limits, and predictable workflow errors.
Common questions before building.
Still choosing a wrapper? Browse use cases, then try the best match before you wire it into your app.
No. The wrapper library provides tested AI behavior, while Zywrap also manages workflow runs, files, saved outputs, API keys, usage, costs, and production controls.
Start with a tested workflow. Ship reliable AI features.
Explore real use cases, try wrapper behavior in Zywrap, then call the same wrapper codes from your app.
Fast path
Explore
Choose a wrapper code from the public library.
Test
Run it with fields, files, variables, or overrides.
Ship
Use the same workflow from API, SDK, or dashboard.