One case fixed, ninety untested
Nobody ran the rest.
BoldBellowsAI API evaluation, guardrails and monitoring for teams whose AI feature is judged by whoever tries it first
AI API evaluation, guardrails and monitoring that tests every change, blocks unsafe outputs and shows cost and quality drift early
An AI feature is checked with a fixed set of test cases whose expected results are known, run on every change to the prompt or the model, with guardrails that block unsafe outputs and monitoring that shows drift and cost. BoldBellows gathers a set of real inputs with the answers a careful person would give, writes down what the feature must never output and chooses the few numbers worth watching, before the prompt is changed again, runs the saved cases on every change to the prompt or model, blocks outputs that break your rules, watches cost, speed and quality in production and tells a named owner when a number drifts, then builds AI API evaluation, guardrails and monitoring in layers: a test set of real inputs with expected results is saved, a runner scores every candidate change against it and shows what improved and what regressed, guardrails check each live output for things such as leaked personal data, banned topics, invalid format or an unsupported claim, flagged outputs are held or replaced by a safe fallback, production logs record cost, latency and a selection of results for review, and an alert tells the owner when a number moves. Custom AI API evaluation, guardrails and monitoring can add human review queues and model comparisons.
View Pricing
One-off setup from $1,835
No monthly subscription
- AI API evaluation
- Guardrails on every output
- Monitoring of cost and quality
- Saved cases with known answers run on every change
- Guardrails on outputs format, topics, personal data
- Safe fallbacks blocked output never reaches users
- Cost and quality watched alerts when a number drifts
- Plain-language notes Operators get notes written for operators, not developers
- No meter running $1,835 covers design, build, tests and handover; nothing accrues afterwards
Chapter 01 the Friday-prompt-edit problem
A prompt edited on a Friday afternoon is judged by the first person who happens to try it
Someone improves a prompt so that one awkward case works, and nobody checks the other ninety. A model version changes underneath you and answers get subtly worse. A customer is shown a reply that includes another person's details. The feature's cost per request doubles after a small change in length, and nobody notices until the invoice. There is no record of what the feature used to do, so nobody can say whether it is better or worse than last month. Confidence in the feature erodes quietly.
We changed the model and knew within an hour which answers had moved, instead of finding out from a customer.
A model version change
Answers got subtly worse.
Another person's details shown
No output check existed.
Before
After
Before
- Whatever AI Team sends, AI Evaluation and Guardrails receives
- Prompts are changed and judged by whoever tries them first
- Nothing checks outputs before users see them
After
- The input, the expected result and the verdict ties the AI Evaluation and Guardrails test case to the AI Team event
- Every change runs against saved cases and shows regressions
- Guardrails check outputs and a view shows cost and quality over time
Chapter 02 How it works
How a prompt change becomes a tested release with guardrails and a watch
Events are filtered, keyed, searched and then written, with a record at each stage.
Receive, log, qualify
The event arrives from AI Team, is logged with its identifiers, and is qualified or set aside.
Save, run, compare
Real cases are saved, each change is run against them, and results are compared with the last version.
Guard, log, alert
Live outputs pass guardrails, requests are logged with cost and latency, and drift alerts the owner.
AI Team facts and AI guardrails behind the design
- Test the prompt like code: An AI feature is checked with a fixed set of test cases whose expected results are known, run on every change to the prompt or the model, with guardrails that block unsafe outputs and monitoring that shows drift and cost.
- Evaluation is what makes change safe: Because prompts and models change often, a saved test set is what lets you improve one behavior without silently breaking another.
- Handling timeouts: A timeout triggers a search of AI Evaluation and Guardrails by the input, the expected result and the verdict, not another create.
Chapter 03 What ships in the build
How changes are tested: save, run and guard
Direct makes the route safe to run. Managed makes it complete. Watchful makes it last.
Source state reader
Reads the current AI Team state behind the event so stale or partial notices are not acted on.
Stable identity ledger
Keeps the evidence behind each suggestion next to the AI Team object it concerns.
Required-field check
Stops an incomplete AI Team record before it produces a half-filled test case in AI Evaluation and Guardrails.
Test set
Saves real inputs with the answers a careful person would give.
Release runner
Scores each change against the set and flags regressions.
Output guardrails
Check live outputs for format, banned topics and personal data.
Safe fallbacks
Hold or replace a blocked output with a safe response.
Monitoring view
Shows cost, latency and quality over time and alerts on drift.
Ownership map
Shows who is responsible for each class of exception between AI Team and AI Evaluation and Guardrails.
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Chapter 04 Who this fits
Who uses this: procurement teams, all needing to know that your AI feature still works after every change, keep unsafe outputs from reaching users and see cost and quality drift before customers do
An AI feature is a moving target, and the teams that keep it good are the ones that measure it every time something changes.
AI product owner
"Ship changes confidently."
Regressions are caught.
Engineering lead
"Know what changed."
Results are compared.
Compliance lead
"Block unsafe outputs."
Guardrails run on every reply.
Finance lead
"Control cost."
Cost per request is tracked.
Support lead
"Trust the feature."
Quality is measured.
Founder
"Avoid public mistakes."
Bad outputs are blocked.
Chapter 05 The options
Choose your route from AI Team to AI Evaluation and Guardrails: a prompt edited on a Friday and judged by whoever tries it first, zap or a saved test set, release checks, guardrails on outputs and a monitoring view of quality and cost
Each can ship a prompt. Only one tests it against saved cases, guards the outputs and watches the numbers afterward.
| Question | Friday edits | Silent drift | Our evaluation route |
|---|---|---|---|
| What starts the work | Word of mouth in the team | Every delivery attempt | An event admitted by rule, not by default |
| How identity is decided | A manual lookup each time | A field anyone can edit | Untested edits and silent drift |
| What reaches AI Evaluation and Guardrails | Anything that fits the form | A single-step write | Saved tests, guardrails and a monitoring view |
| After an uncertain result | Discovered at month end | Tries again without checking | Holds the case with evidence for an owner |
Old news arrives after new
Each event carries its own time, and the route applies it only if it is newer than what AI Evaluation and Guardrails already shows.
A provider updates the underlying model and phrasing changes subtly
The nightly run scores the saved cases against the new version, the differences are listed, the owner reviews them, and the change is accepted or the prompt adjusted before users notice. With the input, the expected result and the verdict the route can say whether the work is missing, done, off, or unclear, and it says so in the log. Matching and differing records are handled separately; only a missing one is created.
Choosing the input, the expected result and the verdict is step one; the field map and the branches are built on top of it.
Interlude Budget is driven by test cases, guardrails and metrics
Pricing for evaluation: test set and monitoring
Start with the smallest governed route and add depth as you need it. Direct opens at $1,835.
View Pricing
One setup fee · Range shown first
Pricing
Build your AI Team AI Evaluation and Guardrails price
Pick a package, answer three short questions about how AI Team data should reach AI Evaluation and Guardrails, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from edited prompts to a tested feature
A short, repeatable process of six steps, ending in a launch review.
-
About 30 minutes
Collect real cases
We gather real inputs and the answers a careful person would give, and list what the feature must never output.
-
Access review
Approve access
We arrange narrow AI Team access, confirm the model provider and its data terms, and settle how decisions are identified.
-
Most of the project
Agree metrics and alerts
The metrics, thresholds and the person who is alerted are written down and signed off.
-
Before you review
Test what goes wrong
Duplicate deliveries, slow events, blank fields and denied permissions are run in a test copy of AI Evaluation and Guardrails.
-
Handover day
Launch with notes
The last step is release: a defined start, a review window and a PDF you can keep.
-
About 30 minutes
Launch support
For a short period after launch we respond quickly to anything unexpected in the live route.
Chapter 07 Turnaround
How long the AI Evaluation and Guardrails packages take
Timing starts once access to the feature's prompts and logs and a set of real cases are available.
Direct
6 to 10 business days
Managed
10 to 16 business days
Watchful
16 to 24 business days
Chapter 08 Getting started
What we ask of you
Authorization to reach the AI Team objects in scope
Access to the AI feature's prompts and logs, a set of real inputs and the name of the person who owns quality
Test records in AI Team for the acceptance runs
Names of the people who decide when a failed request is valid
Your rule for what to do when AI Team and AI Evaluation and Guardrails disagree
A decision on whether history should be loaded or only new events
Chapter 09 Trust
A route that borrows access, never rewrites your tools
Access is limited to the AI Team objects in scope, the model gets a minimized view, and a person approves what changes anything.
Reversible by design
Because nothing inside AI Team or AI Evaluation and Guardrails is modified, switching the route off returns both tools to how they were.
Scoped, revocable access
Permissions are written down, minimal and reversible.
A purpose for every field
Each mapped field has a reason recorded beside it, so a later review can tell why it was sent.
Find first, write second
The route finds the test case through the input, the expected result and the verdict before choosing between create, update and leave alone.
Minimal logging
Evidence of a run is kept as references, not as copies of data.
Full handover
The PDF names each rule, credential and owner so your admins are never guessing.
"An AI feature earns trust by being tested the way any other software is, and the build brings that habit to prompts."
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 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 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 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.
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.
Chapter 11 Questions
Evaluation and guardrails: what product and engineering leads ask
We collected the questions that decide most purchases and answered them.
Do we need this if AI Team already has AI features?
To get AI features that stay reliable as prompts and models change, a connector will do. To test every change, block the unsafe output and notice drift early, you need a designed route. Each of those is covered, tested and handed over in writing.
What goes into the test set?
Real inputs with the expected results, including awkward cases and ones that must be refused.
What do guardrails check?
Format, banned topics, personal data and unsupported claims, according to rules you set.
What happens to a blocked output?
It is held or replaced by a safe fallback, and the case is logged for review.
Can it compare two models?
Yes. The same saved cases run on each, with results and cost side by side.
Which stacks does it fit?
Any feature calling a model API, with the integration confirmed in the quote.
What affects the price of evaluation work?
The size of the test set, the guardrails you need and the monitoring in scope fix one amount, which you see first.
Who approves the cases and rules?
The test set, rules and alert owner are drafted for your sign-off before any change is evaluated.
Will it fit how our AI Team work is organized?
Yes. Qualification rules, proposal types and approvers are all set to your process, from $1,835.
Can we swap the model provider later?
The handover lists every interface the route uses. If one changes, the affected item stops and is flagged instead of being written from a guess. Repairs after your review window are quoted separately.
Give your AI feature tests, guardrails and a watch on cost and quality
Tell us which AI feature you worry about and what it must never do; a written quote arrives before we touch a prompt.
- From $1,835, paid once
- Saved cases
- Guardrails on outputs
- No monthly fee from us