A broad API key
Care was only requested.
BoldBellowsAI function calling and tool use integration for teams who want models to act in their systems without handing over the keys
AI function calling and tool use integration that lets a model ask for actions while your own code checks and runs them
With function calling a model returns a request to use a tool with arguments, and your own code checks those arguments, runs the action and returns the result, so the model never touches your systems directly. BoldBellows lists the actions the model may ask for, the arguments each one needs and what each one is allowed to change, and decides which need a person's approval, before any tool is defined, describes each tool to the model, checks every request it makes against the rules, runs the action in your own code, returns the result and logs the exchange, then builds AI function calling and tool use integration tool by tool: each tool is described to the model with a clear name, purpose and argument schema, when the model asks for a tool the request is validated against the schema and your rules, actions that read are run at once, actions that change something wait for approval when you say so, the result is returned in a form the model can use, limits on rate, spend and repeated requests apply, and every request, decision and result is logged. Custom AI function calling and tool use integration can add multi-step tasks and a tool server shared across projects.
View Pricing
One-off setup from $1,920
No monthly subscription
- Function calling
- Arguments checked by your code
- Approval for risky actions
- Tools described clearly name, purpose, argument schema
- Arguments validated before anything runs
- Approval where it matters money, deletion, sending
- Every request logged tool, arguments, result
- Transferable build Everything is documented so your team can run it without us
- Quoted before you commit the Connect package begins at $1,920 and the total is visible before checkout
Chapter 01 the login-for-the-model problem
A model given a login and told to be careful is trusting a promise, not a control
A prototype lets the model act directly: it has an API key with broad permissions and a prompt asking it to be careful. It works in testing. In production, a badly phrased request leads it to update the wrong record, and a long conversation tempts it to try an action nobody planned. There is no limit on how often it acts. There is no log showing why a record changed. The team is excited about what the model can do and anxious about what it might, and the project stalls for a reason nobody can quite put into words.
The first time the model asked for something it shouldn't, the log showed it was refused, and nothing else happened.
The wrong record updated
A phrase was misread.
An unplanned action
Nothing forbade it.
Before
After
Before
- Each event is treated as brand new
- The model acts directly with broad permissions
- Nothing limits, checks or records what it does
After
- The tool, the arguments and the result is stored before anything is written
- The model only asks, and your code validates and runs the action
- Risky actions wait for approval, and every request is logged
Chapter 02 How it works
How a model's request becomes a checked action and a logged result
Each event passes the same gates: rule, key, lookup, write, proof.
Catch the event
The AI Team notification is received, confirmed as genuine and matched against the list of changes that should act.
Describe, ask, validate
Tools are described to the model, it asks for one, and your code validates the request against the schema and rules.
Approve, run, log
Risky actions wait for approval, safe ones run, the result goes back to the model, and everything is logged.
Design notes on AI Team and the model
- The model asks, your code acts: With function calling a model returns a request to use a tool with arguments, and your own code checks those arguments, runs the action and returns the result, so the model never touches your systems directly.
- The model asks and your code acts: Because the model only returns a request and your code decides whether to run it, the permissions live in your system and not in a prompt that the model might ignore.
- When a write is doubtful: The route finds the record in AI Tool Use Integration by the tool, the arguments and the result, compares it with the intention and only then decides.
Chapter 03 What ships in the build
How tools are used safely: describe, validate and log
Connect covers admission and the key, Resolve covers construction and matching, and Safeguard covers comparison and ownership.
Change classifier
Sorts each AI Team failed request into act, ignore or review, with the reason saved.
Stable identity ledger
Keeps the inputs, the answer and the approval for every AI Team signal in one durable place.
Typed field translator
Converts AI Team values into the exact types AI Tool Use Integration expects, so nothing arrives as the wrong kind of data.
Tool definitions
Describe each tool with a name, purpose and argument schema.
Argument validation
Checks every request against the schema and your rules before it runs.
Approval gates
Hold actions that change money, data or messages until approved.
Limits
Cap rate, spend and repeated requests per user and per tool.
Request log
Records each request, decision and result for review.
Exception ageing
Tracks how long each unresolved case has been open and raises the oldest first.
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Chapter 04 Who this fits
Suited to busy operations managers, and to those who let an AI model use your systems safely, by asking for specific actions that your own code checks and carries out, with approvals where they matter
Models become genuinely useful when they can act, and genuinely safe when the permission to act is held by your own code.
Engineering lead
"Let the model act safely."
Permissions live in code.
Product owner
"Add useful actions."
Tools are added one at a time.
Security lead
"Keep control."
Every request is validated.
Operations manager
"Approve what matters."
Risky actions wait.
Compliance lead
"Explain changes."
The log shows why.
Founder
"Ship an agent with confidence."
Limits prevent runaways.
Chapter 05 The options
Not a model given a login and told to be careful, not a basic zap, but defined tools, argument checking, approval for risky actions and a log of every request
Each can connect a model to a system. Only one validates every request, limits its use and asks a person before anything risky.
| Question | Broad keys | Runaway actions | Our tool-use route |
|---|---|---|---|
| What starts the work | Someone remembers | All events of the chosen type | The failed request you defined, nothing else |
| How identity is decided | Looked up in a spreadsheet | A convenient field, unchecked | Broad keys and polite requests |
| What reaches AI Tool Use Integration | Only what was noticed | Plain values with no types | Defined tools, validation and approval |
| After an uncertain result | Check each tool in turn | Halts and waits | Verifies the result, then fixes or escalates |
A stale event shows up last
Time is checked before anything is written: the stale event is logged with its reason and the current tool request stays as it is.
The model asks to delete a customer record
Deletion is not among the defined tools, so the request is refused, the refusal is logged, and the model is told the action is unavailable. Matching on the tool, the arguments and the result, the route sorts the situation into absent, present and correct, present but different, or ambiguous. If the tool request exists and matches, nothing more is written.
The tool, the arguments and the result is the one thing that cannot change after launch, so it is settled on day one.
Interlude Pricing depends on tools, arguments and results
Pricing for tool use: tools and approvals
Set the limits of the model first and the price follows. Connect is available from $1,920.
View Pricing
One setup fee · Range shown first
Pricing
Build your AI Team AI Tool Use Integration price
Pick a package, answer three short questions about how AI Team data should reach AI Tool Use Integration, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from a prototype to a controlled agent
Brief, access, design, test, launch and review: six steps, each with a deliverable.
-
About 30 minutes
List the actions
We list the actions the model may ask for, their arguments and what each may change.
-
Access review
Approve access
We arrange a least-access link to AI Team, choose the model with you and set the rules for approval.
-
Most of the project
Agree approvals and limits
Which actions need approval, the limits that apply and who approves are written down and signed off.
-
Before you review
Run the hard cases first
Repeats, stale events and permission changes are tested before the easy cases, in a copy of AI Tool Use Integration.
-
Handover day
Launch with notes
We switch the route on at a checkpoint you approve and leave you with written notes on how it works.
-
About 30 minutes
Check the live results
The first runs are compared record by record with the source so you can see the route doing its job.
Chapter 07 Turnaround
Timing for the AI Tool Use Integration build
The count starts once access to the target systems and the list of actions are confirmed.
Connect
6 to 10 business days
Resolve
10 to 16 business days
Safeguard
16 to 24 business days
Chapter 08 Getting started
What you supply to begin
Approved, revocable access to the AI Team side
Access to the systems the tools will touch, a list of the actions wanted and the names of approvers
An AI Team user or token limited to the objects in scope
Two real cases: one failed request that should act and one that should not
Your preferred naming for statuses, tags or labels in AI Tool Use Integration
Contact details for whoever manages AI Tool Use Integration access
Chapter 09 Trust
The tool request gets only what it needs, and nothing inside AI Tool Use Integration is altered
We scope access to AI Team, minimize the prompt and require approval before a proposal becomes an action.
Supported connections, nothing more
Access runs through the approved connection points on both sides, so an update to AI Team or AI Tool Use Integration does not undo the build.
Scoped, revocable access
Scopes are reviewed with you before launch and again at handover.
Private details stay private
Internal notes, payment information and anything outside the map remain in AI Team and never appear in AI Tool Use Integration.
Doubt goes to a lookup
When a write might have landed, the answer comes from AI Tool Use Integration, matched on the tool, the arguments and the result, not from a second attempt.
Minimal logging
Logs hold identifiers, times and error types, not your customer content.
Full handover
Handover includes the rules, the owners and the repair steps in one PDF.
"The safest AI is one that can ask for anything and be allowed only what you decided, which is what the build puts in place."
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 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.
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
Tool use: what engineering and security leads ask
A handful of honest answers before you spend anything.
Why pay for an AI Team AI route when a connector offers an AI step?
AI that can do things without being able to do anything is well within a zap's reach. It does not let a model ask for actions while your code decides what happens. The build is the part that handles what a simple zap cannot.
What is function calling?
A model returns a structured request to use a tool, and your code decides whether and how to run it.
Can the model change data by itself?
No. Only your code does, after validating the request and getting approval where you require it.
What stops runaway behavior?
Limits on rate, spend and repeated requests, and a log that shows what happened.
Which model providers are supported?
Models from OpenAI, Anthropic and Google that support tool use; the quote names the ones you need.
Can tools be shared across projects?
Yes. A shared tool server can serve several applications.
What does adding tools to a model cost?
The number of tools, the systems behind them and the approval rules determine one fixed total.
Do we approve the fields before the build?
Tools, arguments and approval rules are settled on paper before the model can ask for anything.
Can the AI Team AI route fit how we already work?
Yes. Each branch of the AI Team AI route has its own prompt, schema and approver. Prices start at $1,920.
How do prompt changes reach production?
You get a list of the interfaces we rely on. When one shifts, the affected records hold and you are told. Later maintenance is quoted on its own.
Give your model tools it can ask for, and a system that decides what happens
Tell us what you want the model to be able to do and what it must never touch; a written quote arrives before any tool is defined.
- From $1,920, paid once
- Arguments validated
- Approval gates
- No monthly fee from us