EDUCATION
Operations & Scheduling
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Available AI Agents
Explore agents built for operations & scheduling. Deploy instantly or customise for your workflow.
Self-Driving Delivery Agent
Starship completed 9,000,000 autonomous deliveries with its robot fleet (millions of deliveries across campuses and cities).
End- to-end autonomous delivery orchestration: route optimization, vehicle/robot dispatch, safety monitoring, and proof-of-delivery logging.
- Reduces last-mile labor costs by routing suitable orders to autonomous assets
- Speeds up predictable, short-route deliveries (on-campus / dense neighborhoods)
- Automates dispatch and dynamic re-routing when conditions change
StockPulse AI Analyzer
JPMorgan Chase cut false positives by 95% in anti-money laundering using AI document analysis.
Monitors daily stock news, evaluates sentiment with Google Gemini, and writes actionable sentiment scores into Google Sheets.
- Automates daily collection of financial news for selected tickers
- Evaluates sentiment consistently with AI
- Logs invalid tickers separately for audit clarity
Telegram AI Chatbot
Georgia State University reduced admissions call-volume by 40 % using their Pounce chatbot handling 56,000+ inquiries with 97 % accuracy.
A general‑purpose AI chatbot template for telegram that can be customised for various operations and analytics use cases.
- Automatically detects and categorises incoming telegram messages, reducing manual triage
- Provides instant auto‑responses or routes to the correct team, improving turnaround
- Logs conversation metadata (sender, timestamp, intent, outcome) into analytics for reporting
Telegram AI Image Analysis
Middle School study applied AI image recognition, achieving 80% accuracy versus 77% for traditional SVM model in teacher-literacy classification.
Lets users send images to telegram and receive AI‑based analysis and feedback automatically.
- Enables users to send images via telegram and receive instant AI‑driven analysis and categorisation
- Automatically generates structured feedback or next‑step guidance based on image content, reducing manual review time
- Logs image metadata (sender, timestamp, category) into a central tracking system to support auditability and reporting
Telegram NeurochainAI - Bot
Jisc pilot engaged 44 institutions in AI image-generation use-cases across higher education.
Integrates neurochainai api for text and image generation inside telegram, enabling creative media interactions.
- Enables instant generation of marketing copy and visuals (text + image) via telegram prompts
- Delivers generated assets into chat, ready‑to‑use and shareable, reducing designer backlog
- Supports routing of generated assets into content calendars or storage systems automatically
Auto Categorise Outlook Emails AI
San Diego Community College District reduced communication overhead by 40% after handling 70% of routine student inquiries via AI-powered classification/routing.
Automatically categorises outlook emails using AI models. moves messages to folders and assigns categories based on content, reducing manual sorting.
- Automatically detects new outlook emails and applies defined sanitisation rules, reducing manual redaction
- Ai‑driven classification of email content into categories (invoice, seo request, client contact, etc.) and automatic folder routing
- Logs full metadata (sender, subject, category, timestamp) into Airtable (or equivalent), creating an audit‑ready record of all processed emails
Microsoft Outlook AI Email Assistant
Oak National Academy saved ~25 minutes per lesson by using an AI planning assistant (lessons planning from ~30 min to ~5-10 min).
An AI‑powered assistant for outlook that processes emails, sanitises content, assigns categories using Airtable rules, and triggers contact workflows via monday.com.
- Automatically sanitises incoming email content, reducing manual redaction and privacy risk
- Categorises emails (invoice, lead, seo task, client query) and routes them appropriately
- Logs email metadata (sender, subject, date, category) into Airtable for audit‑ready tracking
Automated Fine-Tuning of OpenAI Models
Khan Academy reduced teacher prep friction (non-teaching tasks often consume up to 50% of teacher time) by adopting AI teaching assistants.
Automates fine-tuning cycles by ingesting labeled training files from google drive, validating & cleaning data, launching OpenAI fine-tune jobs.
- Speeds up dataset-to-model cycles so educators iterate on models in hours instead of days
- Automates data validation and error reporting to stop failed fine-tunes before they start
- Produces human-readable evaluation reports (accuracy, token usage, sample predictions) for curriculum teams
AI Chatbot with Long-Term Memory
Pearson deployed AI-powered study tools and recorded over 5 million student interactions in nine months, contributing to a 4 % growth in higher-education sales.
External workflow enhancing an AI chatbot with long‑term memory and dynamic tool routing capabilities.
- Maintains student conversation history to personalise each interaction (reducing “tell me your profile again” friction)
- Automatically routes student requests to the right service/tool (e.g., tutoring link, study resources, administrative form) without manual intervention
- Generates structured data on workflow usage and student tool engagement for operations teams (so you know what support is used most)
Telegram Bot with Memory
University research project “MemoryBank” demonstrated long-term memory enabled LLMs recalled user-context across dialogues, improving conversational coherence (research simulation).
Adds long‑term memory via supabase to a telegram bot, paired with OpenAI for rich, context‑aware conversations.
- Stores user conversation history in supabase so the bot remembers past interactions and builds continuity
- Uses OpenAI api to generate context‑aware responses leveraging stored memory, reducing repetitive queries
- Routes users intelligently based on their past interactions and current intent, improving workflow efficiency
Background Removal Agent
Berkeley County Schools saved 18,000 hours annually and $464,000 in software costs after rolling out Canva for Education (which includes AI background removal and video background tools)
Automatically removes backgrounds from images stored in google drive, applying batch processing, consistent output settings (transparent/solid color).
- Batch background removal from drive folders to convert large photo sets in minutes
- Exports production-ready transparent pngs or brand-colored backgrounds for catalogs and thumbnails
- Auto-cropping, optional shadow/reflection application, and resolution checks to meet platform requirements
Upload to Instagram and TikTok from Google Drive
Berkeley County Schools saved 18,000 hours/year and $464,000 in software costs after deploying Canva’s content tools and scheduling — an example of centralized content workflows improving capacity.
Automates uploading media from google drive directly to instagram and tiktok: watch drive folders, apply presets (caption templates, hashtags, aspect-crop), schedule posts.
- Watch drive folders and auto-detect new media for publishing
- Apply platform presets (instagram/tiktok crop, length trim, watermark) to ensure publish-ready files
- Populate caption templates & hashtag bundles, with variables (date, campaign, handle)
WordPress - AI Chatbot
Watermelon AI helped an educational customer automate ~80% of student-visitor inquiries and support chats, enabling 24/7 service and freeing staff for complex issues.
This workflow integrates an AI chatbot into WordPress using Supabase and OpenAI to enhance user experience by providing intelligent interactions.
- Installs and configures a chatbot widget in WordPress that uses OpenAI for conversational responses
- Connects chatbot interactions to Supabase: logs conversations, visitor metadata, tags intents
- Automates responses to FAQs and common visitor questions (admissions, courses, support)
Qualify New Leads Agent
University students using an adaptive-learning AI tool achieved 62% higher test-scores compared to peers — an example of how similar AI technology (though not this exact agent).
Uses OpenAI’s gpt‑4 to analyse new leads entered into a google sheet and prioritise the best ones for sales outreach.
- Automatically reads new lead entries in a google sheet and assigns a qualification score
- Ranks leads by likelihood to convert and flags top‑priority ones for immediate outreach
- Adds structured notes and next‑step suggestions (e.g., “call within 24 h”, “nurture – email drip”)
Discord Student Support & Routing Bot
University of Murcia achieved ~90 % query resolution using an AI chatbot, handling 28,000 admissions queries and boosting accessibility 24/7.
This workflow creates an AI‑powered discord bot that categorises user messages (e.g., success story, urgent issue, ticket) and routes them to the appropriate department.
- Automatically classifies discord messages by intent and routes them to the right team
- Escalates urgent student messages (e.g., technical outage, user crisis) for immediate human attention
- Tracks message categories, volumes and response‑times; delivers analytics dashboards for admin insight
Screen Applicants AI — Agent
University students using an adaptive-learning AI tool achieved 62% higher test scores compared to peers — an example of how similar AI technology (though not this specific agent).
Automates the screening of job applicants using AI, notifies hr of qualified candidates, and saves applicant data into a google sheet.
- Automatically imports or monitors new applicant entries and runs an AI‑based fit evaluation
- Notifies hr/hiring manager immediately when an applicant meets your defined “qualified” threshold
- Saves structured applicant data, scores, and decision notes into a google sheet for audit‑trail and workflow handoff
Summarize Google Forms Feedback via GPT
Ajman University leveraged AI-powered personalised learning tools and achieved significantly higher academic performance and engagement for pre-service teachers.
Summarises feedback collected through Google Forms and stored in Google Sheets using GPT, delivering quick, structured insights from survey responses.
- Automatically detects new Google Forms responses in a Google Sheet and triggers analysis
- Summarises each open‑ended response into a short statement and tags it with category & sentiment
- Aggregates themes and writes summary statistics (e.g., “Top 3 recurring suggestions”) into the sheet
Invoice Data Extraction Agent
Dean Close School achieved 30 hrs to <2 hrs monthly invoice data-entry and 85% productivity boost after implementing AP automation (example of similar technology, not this exact agent)
This workflow extracts structured data from invoices using llamaparse and OpenAI, then produces detailed invoice data extraction ready for downstream automation.
- Automatically imports invoice files (pdf/docx) and detects format via llamaparse
- Uses OpenAI gpt‑4 to interpret context and extract vendor, date, amount, line items
- Generates structured data output (json/csv) for downstream workflows
Extract Resume PDF
Hassan II University of Casablanca processed 2,325 CVs using an NLP-based system and achieved average processing time of 3.84 seconds per CV (example of similar technology, not this exact agent)
This workflow extracts structured data from resumes using AI, converts it into html, and then generates a well‑formatted pdf using gotenberg.
- Automatically ingest resumes (pdf/docx) and extract key structured fields via AI
- Populate an html template with extracted data for consistent layout and design
- Generate a pdf via gotenberg for standardised output and archival
AI-Powered Candidate Shortlisting Automation
Hassan II University processed 2,325 CVs, averaging 3.84 seconds per CV using an NLP CV-processing pipeline (example of a comparable NLP approach, not this agent).
Automates candidate shortlisting in erpnext: extracts cv data, scores applicants against job criteria, writes shortlist and notes into erpnext for recruiter review.
- Automatically ingest resumes attached to erpnext job applications and extract structured candidate data
- Produce a ranked shortlist (high / medium / low) based on configurable criteria and thresholds
- Add structured summary notes and recommended next steps into erpnext candidate records
Sales Meeting Prep AI
Post University accelerated admissions operations — application processing 4× faster; weekly reporting cut from 2 hrs to <15 min.
This workflow scrapes prospect context with apify, enriches it with AI (meeting brief, objection points, agenda), and sends a concise pre-call pack to sales reps on whatsapp.
- Delivers concise, role-specific pre-call briefs to reps via whatsapp
- Aggregates public signals and recent news to surface timely conversation hooks
- Generates suggested agenda items and 3 tailored value propositions per prospect
WordPress PostWriter AI
“Students at UniDistance Suisse using a GPT-3-driven AI tutor improved grades by up to 15 percentile points compared to a parallel non-AI course.” (Example of similar technology)
This workflow uses AI to write wordpress posts based on a few keywords, simplifying the content creation process.
- Creates full blog posts from just keywords or brief prompts
- Formats output for direct import into wordpress (gutenberg blocks or classic editor)
- Generates seo‑compliant meta descriptions and suggests internal/external links
Calvin and Hobbes Comics Agent
Georgia State University used the “Pounce” chatbot to handle 185,000 student exchanges and averaged a 6-second reply time, reducing summer-melt by 22% (324 students).
This workflow automates the daily retrieval of calvin and hobbes comics, translates the dialogues into english and korean (or other languages), and posts fully formatted comic images.
- Automatically fetches daily comics and queues them for localization
- Converts comic dialogue to editable text (ocr) and translates it into target languages
- Rebuilds or captions the comic image with translated text and posts to discord on a schedule
YouTube Summary on Discord
Keele University adopted Panopto and saw monthly views rise from 12,000 → 54,000 while producing ~25,000 hours of content in a year.
This workflow automatically detects new youtube videos from configured channels, extracts captions/transcripts, generates concise english summaries using an llm or mt pipeline, and posts the video.
- Auto fetches new youtube videos for configured channels and playlists
- Extracts captions/transcripts (youtube api / auto-captions) and stores them for audit
- Generates short, classroom-friendly summaries (1 paragraph + 3 bullets + key timecodes)
Post New YouTube Videos to X
James Madison University improved its Twitter engagement rate to 0.07% (+16% year-on-year) in 2023 using streamlined social-video-to-post workflows (example of comparable technology, not this agent).
Connects your youtube channel to x: new videos trigger automated posts with preview, hashtags and brand voice—no manual copy‑paste.
- Detects new youtube video uploads and triggers a social post to x automatically
- Formats post content with thumbnail preview, title, custom hashtags and campaign tags
- Allows brand‑voice templates and scheduling rules (immediate, delayed, time‑window)
Speed Up Social Media Banners With BannerBear.com
University of Bacau increased likes, clicks and views during their May–Sept 2020 social campaign by more than +X% using structured social-media visuals.
Automates creation of social media banners using bannerbear.com: input your brand, campaign text and visuals; output ready‑to‑post visuals.
- Generates multiple banner variations in minutes from your campaign brief
- Applies your institution’s logo, colours and brand fonts automatically
- Outputs ready‑to‑upload graphics sized for social channels (e.g., instagram, facebook, linkedin)
Analyze Feedback Mattermost
Teacher-education programme at a UK institution automated personalised feedback analytics and saw ~35% higher student satisfaction scores in a pilot.
Analyzes feedback from students or staff, categorises sentiment and issues, then sends alerts and summary messages to your mattermost channels in real‑time.
- Ingests text feedback from surveys, forms or platforms and analyses sentiment and themes
- Automatically alerts your mattermost channel with structured summaries and urgency flags
- Tags and categorises feedback (e.g., content clarity, resource access, staff support) for efficient routing
AI agent Instagram DM Inbox
Mindvalley achieved 522% more sign-ups from Instagram DM automation (via Manychat) in their “Instagram Education” campaign (example of comparable technology, not this agent).
Integrates manychat with OpenAI to create an AI agent that handles instagram direct messages: replies instantly, qualifies leads, and triggers next‑step workflows.
- Instantly replies to incoming instagram dms and comment‑to‑dm triggers
- Qualifies leads via conversation: extracts interest level, programme/offer type, next‑step action
- Automates routing: sends qualified leads to live agent or triggers nurture sequence
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