A refunded student nudged
The model did not know about the refund.
Teachable AI student engagement with a named approver
Teachable AI student engagement that flags stalled learners and drafts the right nudge as a proposal, honors each student's marketing choice and sends nothing without approval
Teachable AI student engagement lets a model read progress, quiz responses and comments and propose who needs a nudge, without ever emailing a student. Teachable delivers events at least once with no published retry policy, a student can opt out of marketing email at any moment, and a comment is text written by a stranger that may carry instructions meant for the model. BoldBellows takes the user ID and the course ID as the identity of the event, waits for a second read when the event and the student disagree, then passes the model only the fields you approve as quoted data, checks the marketing flag before a nudge is even drafted, validates the structured answer and files a proposal with its evidence for a person to accept, edit or refuse.
View Pricing
From $1,345, paid once. Spot stalled Teachable students with AI.
- Spot stalled Teachable students with AI
- Nudges drafted with evidence, never sent alone
- Marketing consent checked first
What stands between a model and your Teachable data
- Rules firstonly students who meet your rule reach the model
- Comments are dataa student's text can never give the model orders
- Consent respecteda student who opted out gets no marketing draft
- People sendno message leaves without the approval you choose
- Plain-language notesOperators get notes written for operators, not developers
- No meter running$1,345 covers design, build, tests and handover; nothing accrues afterwards
B2Before and after
An AI that mails your students on its own will eventually nudge someone who asked not to be contacted
Give a model your student list and a template and it will write warm, confident reminders to everyone who has not logged in for a week, including the student who has just been refunded, the one who finished the course on another device and the one who opted out of marketing email yesterday. A comment that says to ignore earlier instructions is read by the same model that is writing the replies. Afterwards nobody can say which students it chose or why.
Sound familiar?
A finished course flagged
Progress was read from one device only.
An opt-out ignored
The marketing flag was not checked.
A comment steering the model
A student's text told it to ignore its rules.
The wrong tone for a struggling student
One template went to everyone.
No record of why
Nobody could say who was chosen or on what evidence.
The same school, with a model that notices and a person who writes
Before
- Whatever Teachable sends, the AI workflow receives
- A model picks students and sends on its own
- Nobody can say who was chosen or why with Teachable AI Student Engagement
After
- A decision key made of the user ID, the course ID, the model-run ID and the policy version ties the AI workflow proposal to the Teachable event
- The model only proposes, and a person approves with Teachable AI Student Engagement
- Each proposal keeps its evidence and the consent state
D4How it works
How a Teachable student becomes an evidence-backed nudge a person can approve
Events are filtered, keyed, searched and then written, with a record at each stage.
1. Receive, log, qualify
The event arrives from Teachable, is logged with its identifiers, and is qualified or set aside.
2. Read, qualify, check consent
Student, progress and consent records are read by user ID, each is tested against your rule, and a student who has opted out of marketing never reaches a marketing draft.
3. Propose, approve, record
The structured answer is validated, held with its evidence, confidence and policy version, and a message goes out only after the approval you require.
E5Inside your workflow
The parts of a governed Teachable AI route, and what each does
Direct makes the route safe to run. Managed makes it complete. Watchful makes it last.
Direct
Source state reader
Reads the current Teachable state behind the event so stale or partial notices are not acted on.
Direct
Stable identity ledger
Keeps the inputs, the answer and the approval for every Teachable signal in one durable place.
Direct
Required-field check
Stops an incomplete Teachable record before it produces a half-filled proposal in the AI workflow.
Managed
Student eligibility gate
Tests each student against your rule, their enrollment state and their marketing flag before anything reaches a model.
Managed
Student-and-run matcher
Gives every event one of four outcomes using a decision key made of the user ID, the course ID, the model-run ID and the policy version: new, update, done or unclear.
Managed
Policy and approval matrix
Decides, by reason and confidence, whether a proposal is shown, held for consent or sent to a reviewer.
Watchful
Decision register
Compares state across Teachable and the AI workflow and ranks each gap by age.
Watchful
Prompt and policy drift monitor
Flags a changed prompt, model version or policy before the nudges quietly change.
Watchful
Ownership map
Shows who is responsible for each class of exception between Teachable and the AI workflow.
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G7Who it is for
Who uses this: bootcamp operators with paid cohorts, all needing to spot students who are drifting, draft the right nudge and leave sending to a person
Teachable holds the learning. A model may help notice who is stalling, provided a person decides what is said.
Course creator
"I want to help, not nag."
The model flags who stalled and drafts a note, and I decide who hears from me.
Community manager
"Some students said no."
Marketing consent is checked first, and opted-out students never get a marketing draft.
Support lead
"Know what the model read."
With Teachable AI Student Engagement in place, only the approved fields reach the model, and every request is recorded.
Security lead
"Stop a comment steering the model."
Student text is wrapped as data inside fixed instructions, and a reply off the schema is discarded.
Agency owner
"Each client school has rules."
Policies and approvers are set school by school, so nothing crosses clients.
Program director
"I need to defend the outreach."
Every nudge links back to the evidence that prompted it.
Budget is driven by proposals, approvals and policies for Teachable AI Student Engagement
Price your Teachable AI route, a decision at a time
Direct is available from $1,345.
View Pricing
One setup fee
I9Your options
Choose your route from Teachable to the AI workflow: a generic AI email writer, zap or an evidence-gated engagement route
Each can write a reminder. Only one checks consent and keeps the model on a short lead.
| How a run starts | A generic AI email writer | A generic AI zap for Teachable | Our evidence-gated engagement 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 | A decision key: student, course, model run and policy |
| What reaches the AI workflow | Anything that fits the form | A single-step write | A validated proposal with its evidence, consent state and approval |
| 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 Teachable event carries its own time, and the route applies it only if it is newer than what the AI workflow already shows.
A student is flagged as stalled and refunds on the same day
The refund event updates the student's state first, the proposal is withdrawn and logged with the reason, and no nudge is drafted for someone who has left. With a decision key made of the user ID, the course ID, the model-run ID and the policy version 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 a decision key made of the user ID, the course ID, the model-run ID and the policy version is step one; the field map and the branches are built on top of it.
Pricing
Build your Teachable AI Student Engagement price
Pick a package, answer three short questions about how Teachable data should reach AI Student Engagement, and your price and turnaround move as you choose.
J11The process
Six steps to student AI that stays under control
A short, repeatable process of six steps, ending in a launch review.
-
Day 1
Choose the decisions
We agree which students the model may see, what it may propose, such as a flag, a summary or a draft, and who approves each kind.
-
Access review
Approve access
We arrange a least-access link to Teachable, choose the model with you and set the rules for approval.
-
Build phase
Agree fields, policy and approvers
The Teachable fields the model sees, the policy for each proposal type, the consent rules and the approver for each 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 the AI workflow, on the Teachable AI Student Engagement service.
-
Release day
Launch with notes
The last step is release: a defined start, a review window and a PDF you can keep.
-
Day 1
Launch support
For a short period after launch we respond quickly to anything unexpected in the live route.
K12Turnaround
How long the AI Student Engagement packages take
Delivery is measured from approved Teachable access and a confirmed model service.
Direct
6 to 10 business days
Managed
10 to 16 business days
Watchful
16 to 24 business days
L13Getting started
What we ask of you
Authorisation to reach the Teachable objects in scope
A Teachable Growth plan or higher and an admin who can create an API key, plus the model service you have approved
Test records in Teachable for the acceptance runs
Names of the people who decide when a school event is valid
Your rule for what to do when Teachable and the AI workflow disagree
A decision on whether history should be loaded or only new events
M14Safety and ownership
A route that borrows access, never rewrites your tools
We scope access to Teachable, minimise the prompt and require approval before a proposal becomes an action.
Reversible by design
Because nothing inside Teachable or the AI workflow 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 proposal through a decision key made of the user ID, the course ID, the model-run ID and the policy version 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.
N15In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and sales to support and operations.
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 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 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 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 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.
P16FAQ
Teachable and AI: what school owners ask before they trust it
We collected the questions that decide most purchases and answered them.
Why pay for a Teachable AI route when a connector offers an AI step?
To get a nudge for every student who stalls, a connector will do. To decide which students qualify, respect each student's marketing choice and leave every message to a person, you need a designed route. Each of those is covered, tested and handed over in writing.
Can the AI email my students by itself?
No. The model only returns a proposal. Sending waits for the approval step you choose, and a draft stays a draft until a person releases it.
How is marketing consent handled?
Consent to marketing email changes in Teachable only through a separate event. That flag is kept current and read before any draft is made, so an opted-out student never gets a marketing nudge.
Which student data does the model see?
Only the fields on an approved list, such as progress, quiz results and the text of comments, passed as quoted data.
Could a comment take over the model in the Teachable AI Student Engagement service?
Student text is never treated as instructions.
What if an event is missed or arrives twice?
Each event has an ID that is checked, and the route reconciles against the Teachable API, so a missed or repeated delivery does not change who is flagged.
Which model do you use?
With Teachable AI Student Engagement in place, the route works with the model service you approve.
Do we approve the Teachable fields before the build?
Yes. The map says what the model reads from Teachable and which fields an approved proposal may touch.
Can the Teachable AI route fit how we already work?
Yes. Each branch of the Teachable AI route has its own prompt, schema and approver. Prices start at $1,345.
How do prompt changes reach production?
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. It is also the answer to automate teachable with AI and custom teachable AI automation.
Q17Notice who is stalling, and keep the voice yours
Give your school AI help with a person in charge
The Teachable AI route begins at $1,345.
- From $1,345, paid once
- Consent respected
- People send
- No monthly fee from us
Unusual volumes or extra systems are quoted on request.