An introduction before the JSON
The parser crashes.
BoldBellowsAI structured output and JSON extraction API for developers whose parser breaks on every tenth response
AI structured output and JSON extraction API that returns data in the shape your systems expect and validates every response
Structured output asks the model to return JSON that matches a defined schema, and your code validates every response against it and retries or rejects whatever does not fit. BoldBellows writes down the fields you need, their types and the values that are allowed, and collects typical inputs paired with the output a careful reviewer would expect, before a prompt is drafted, asks the model for JSON that matches the schema, validates every response against it, retries or repairs what does not fit and sends what still fails to a person, then builds the AI structured output and JSON extraction API schema by schema: each schema lists fields, types, required values and allowed options, the request asks the model for output in that shape using the provider's structured output features where available, every response is validated in code, mismatches are retried with the error message, values are normalized such as dates, currencies and phone numbers, anything that still fails goes to a review queue with the input beside it, and the validated JSON is returned by an endpoint or written to your system. Custom AI structured output and JSON extraction API can add versioned schemas and batch runs.
View Pricing
One-off setup from $2,325
No monthly subscription
- Structured output
- Validated against a schema
- Retries and a review queue
- A schema for every task fields, types, allowed values
- Every response validated in code, not by hope
- Retry with the error most mismatches self-correct
- A queue for the rest input beside the output
- Named repair owner Each blocked item has one person who clears it
- Costed up front $2,325 is the opening figure, and each option you add shows its own price
Chapter 01 the every-tenth-response problem
A prompt that says 'return JSON' works until the day it returns a sentence with JSON in it
The prototype asks the model for JSON in a friendly prompt. Nine times in ten, it works. The tenth time, the model adds an introduction, leaves out a field, writes a date in words or invents a value for a field that should have been empty. The parser crashes, or worse, accepts a wrong value and passes it into the database. Fixes are added to the prompt until it is a paragraph of warnings. Nobody can say how often the output is valid, because nobody measures it.
The tenth-response failures went away, and for the first time we had a number for how often the output was valid.
A field left out
The record is incomplete.
A date written in words
Downstream code fails.
Before
After
Before
- Every AI Team update makes another schema
- A prompt asks for JSON and a parser hopes for the best
- Wrong or missing values slip into the database
After
- Any repeat locates its schema through the input, the schema and the validation result
- A schema defines the shape and every response is validated
- Mismatches are retried or queued, and validity is measured
Chapter 02 How it works
How free text becomes validated, dependable JSON
A change must qualify first; its schema is then found by key and only the missing fields are written.
Receive and test
The AI Team notification is verified, logged with its account, resource and time, and tested against your written rule.
Define, request, validate
A schema defines the shape, the model is asked for it, and every response is validated in code.
Repair, queue, deliver
Mismatches are retried with the error, failures are queued with the input, and valid JSON is delivered.
What lies behind the AI Team AI route's design
- A schema is a contract: Structured output asks the model to return JSON that matches a defined schema, and your code validates every response against it and retries or rejects whatever does not fit.
- Validate every response: Because a model can occasionally return something close to the schema but not equal to it, the only safe approach is to check every response in code before using it.
- Repair rule: Before any retry the route reads AI Structured Output through the input, the schema and the validation result, so a second request never doubles the first.
Chapter 03 What ships in the build
How output stays valid: define, validate and repair
Basic opens the door. Managed does the building. Governed keeps the route honest from the inside.
Rule gate
Compares each AI Team failed request with the rule you wrote and files the verdict beside it.
Stable identity ledger
Holds the prompt version, the structured answer and the outcome against the AI Team object they concern.
Mapped-field filter
Passes only the AI Team values on the signed map to AI Structured Output and leaves everything else in AI Team.
Schema design
Defines fields, types, required values and allowed options for each task.
Structured request
Asks the model for output in that shape using the provider's structured features.
Validation
Checks every response in code against the schema.
Retry and repair
Retries with the error message and normalizes dates, currencies and numbers.
Review queue
Holds what still fails, with the input beside the output.
Open-issues board
Shows every blocked, unclear or rejected AI Structured Output write with who owns it and how old it is.
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Chapter 04 Who this fits
Who uses this: software developers, all needing to get dependable, machine-readable data out of text, emails and documents, with every response validated against a schema before your systems see it
Models are good at reading messy text, and software needs tidy data, so the bridge between them has to check every crossing.
Backend developer
"Trust model output."
Responses are validated.
Data engineer
"Load clean data."
Types are enforced.
Product owner
"Ship AI features."
Output is dependable.
QA engineer
"Test the contract."
The schema is the test.
Operations lead
"Reduce manual fixes."
Failures are queued.
Founder
"Avoid bad data."
Wrong values are caught.
Chapter 05 The options
AI Team to AI Structured Output: a prompt that says return JSON and a parser that breaks every tenth response, a zap or a defined schema, validated model output, retries and repair and a queue for what still fails
Each can ask for JSON. Only one defines the schema, validates every response and queues the failures.
| Question | Hopeful parsing | Bad values | Our structured-output route |
|---|---|---|---|
| What starts the work | A team member eyeballs it | Whatever the connector is told to hear | An event that satisfies a written rule |
| How identity is decided | Staff look it up by name | The name or email as typed | Hopeful parsing and silent bad data |
| What reaches AI Structured Output | Whatever a person pastes | A flat row of text | Schemas, validation and repair |
| After an uncertain result | A person compares the two | It tries again or gives up | Searches for the record, compares, then fixes or hands off |
A delayed notice turns up
Every AI Team event is compared with the state already stored, so a late one is logged and cannot undo a newer schema.
The model returns a plausible value for a field that is empty in the source
The schema allows a null for that field, the prompt asks for null when the text is silent, and a rule rejects values that are not found in the source text. The route turns the input, the schema and the validation result into a search of AI Structured Output and sorts the reply into four cases: missing, matching, different or unclear. A schema is created only after a search shows that none exists.
Settle the input, the schema and the validation result with the team first: every field choice and routing rule depends on that one decision.
Interlude Inputs, schemas and validation decide the figure
Pricing for structured output: schemas and volume
Basic starts at $2,325.
View Pricing
One setup fee · Range shown first
Pricing
Build your AI Team AI Structured Output price
Pick a package, answer three short questions about how AI Team data should reach AI Structured Output, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from hopeful parsing to dependable data
Six steps, each ending in a written output, lead from brief to a monitored launch.
-
About 30 minutes
Define the schema
We define the fields, types and allowed values with you, using real inputs and the answers a person would give.
-
Access review
Approve access
Access to AI Team is limited to the objects named in the brief, the model is selected with you and the reviewers are confirmed.
-
Most of the project
Agree validation and failure handling
The validation rules, retry limits and who reviews failures are written down and signed off.
-
Before you review
Break it on a copy
Repeats, delays, missing values and withdrawn access are tried on a test copy of AI Structured Output before launch.
-
Handover day
Launch with notes
Launch happens at a checkpoint you approve, with written notes on each rule that is live, in the AI Structured Output and JSON Extraction API service.
-
About 30 minutes
Month-one review
Across the first thirty days the checkpoint log is read with you, retries and drift are watched, and live data decides what gets tuned.
Chapter 07 Turnaround
What to expect on timing
The count starts with real inputs in hand and a destination system to write to.
Basic
6 to 10 business days
Managed
10 to 16 business days
Governed
16 to 24 business days
Chapter 08 Getting started
Needed from you for the AI Structured Output route
A user or token that can read the AI Team records the route needs
Real inputs and the expected outputs, the system that receives the data and a model account
Authorized AI Team credentials for the objects and events in scope
A short written rule for which failed requests should reach AI Structured Output
Someone on your side who decides exceptions and mapping questions
Automations already running in AI Team or AI Structured Output on the same data
Chapter 09 Trust
Only approved data moves, and nothing inside AI Team or AI Structured Output is altered
Access to AI Team is limited to the objects named in the brief, and the model never holds credentials of its own.
Outside the products
AI Team and AI Structured Output are used only through their documented endpoints, so no file, setting or script inside either one is altered.
Scoped, revocable access
Each credential is limited to its AI API and Document task, and you can switch any of them off whenever you wish.
Only the mapped fields move
A signed field map lists what may cross into AI Structured Output; every other AI Team value stays where it is.
When a write is in doubt
A reply that never came back is answered by reading AI Structured Output through the input, the schema and the validation result, and the schema found there decides the next move.
Minimal logging
Logs keep references and outcomes only, so there is no copy of your data to guard.
Full handover
You receive the map, the list of credentials and the repair notes, and keep all of them.
"A model can read anything, but software needs data to arrive in one shape, and the schema is how we make sure it does."
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
Chapter 11 Questions
Structured output: what developers and data teams ask
Straight answers to the questions buyers ask before committing, in the AI Structured Output and JSON Extraction API service.
Why not connect AI Team to a model myself?
Need only model output your code can rely on? A zap handles it, but it cannot turn free text into data that always matches the shape your systems expect. Those open questions are exactly what this build answers.
Why not just ask for JSON in the prompt?
Because a model can return something close but not valid, and a schema with validation catches it.
What happens to responses that fail?
They are retried with the error, and anything still failing is queued with the input.
Which models support structured output?
OpenAI, Anthropic and Google models, with varying features, as confirmed in the quote.
Can it normalize dates and currencies?
Yes. Values are converted to a standard form by code after validation.
How is quality measured?
By the validity rate, the retry rate and a saved set of test inputs.
What sets the price of structured output work?
The schemas, volumes and integrations give one fixed total in your quote.
Who decides what the model is shown?
Schemas, validation rules and failure handling are agreed first, and the first request follows your approval.
Can we set thresholds for when a person must approve on the AI Structured Output and JSON Extraction API service?
Yes. Different teams, mailboxes or sites in AI Team can have their own rules and approvers. It begins at $2,325.
Can the schema change later?
Yes. Schemas are versioned, so a change is tested on saved inputs and rolled out without breaking existing consumers.
Give your systems model output that always matches the shape they expect
Tell us what data you need out of text and where it lands; your written quote arrives before we write a schema.
- From $2,325, paid once
- Schema validated
- Retry with the error
- No monthly fee from us