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Your dashboard gets new pharmacy directors and FQHC leaders from seven 340B sources, with quotes, timestamps, organization details, and markdown hooks ready to paste into Instantly.

Poll all sources hourly for new content: Railway cron checks RSS feeds and podcast feeds every hour. New items are queued for processing based on their GUID or canonical URL.

Form fills, returning customers, website visitors, and re-order signals land in one ranked Slack digest with contact info and buying context, so sales calls the highest-value buyers first.

Normalize three sources into a common lead shape: Each source adapter (Fillout, RB2B, Shopify) converts its raw payload into a standard lead record with email, name, company, and source metadata. Cross-source dedup merges the same person across sources using email (primary), LinkedIn URL (secondary), and name+company (tertiary).

Your portal stores licenses, TB tests, insurance cards, background checks, expiration status, and onboarding documents in a searchable database, so office staff filter gaps before audits.

Create caregiver record: On form submission, generate unique 4-digit caregiver ID and create database record with status 'applicant'.

Closed-lost deals, past customers, and referral opportunities become daily draft emails with a specific reason to reach out, so reps work the list without manual writing sessions.

ICP qualification: Filter leads to New England, home services, has a website, not a known time-waster. Bias toward not sending when uncertain.

Financials, tasks, transcripts, emails, and files roll into one searchable client record, so directors see what changed without opening five systems.

Normalize and partition by client ID: Tag all data with the corresponding client ID from Double so cross-system queries work. Enforce per-client data partitioning to prevent data bleeding.

The portal combines uploads, PandaDoc signatures, credential collection, and branching setup questions, then writes answers and files back to Monday so the team reviews one board.

Detect company type and industry: Portal asks company type up front and branches the Q&A flow accordingly. Home care companies trigger a specialized question branch.

Your pricing sheet updates with competitor resale listings, sold status, and unit counts by year, brand, model, phase, and cooling, so pricing gaps surface before you list.

Extract machine identity from titles and prose: Parse year, brand, model, phase, and cooling from listing titles and newsletter text into structured fields.

A biweekly workbook pulls competitor listings from property sites and Zillow, tracks days listed and price changes, and separates owner-managed leads for outreach.

JavaScript rendering of competitor sites: Many competitor sites embed AppFolio vacancy widgets that load via JavaScript. The agent renders pages fully before extracting data.

Your editor picks timestamped clips, stills, and images from the source files, then the agent outputs captioned MP4s and JPGs in each platform format with brand overlays ready for review.

Transcribe audio: Whisper converts speech to timestamped text. Enables snippet selection and caption generation.

Your Monday board gets qualified Indeed applicants with screening notes, candidate questions, and best call times after the extension checks work authorization, travel availability, labor experience, Real ID, and firefighter status.

Extract application data: The extension scrapes candidate name, location, phone, email, screening answers, candidate message, and Indeed profile URL from each new application.

Slack gets a ranked list of at-risk accounts with evidence like performance drops, low response rates, and booking friction, so the team reaches clients before the cancellation email.

Compute 3-way benchmarks per signal: For CTR, response rate, booking rate: calculate delta vs client baseline, delta vs cross-customer average, delta vs same-period-last-year. Gracefully fall back when historical data missing.

Your field rep gets an editable iPad estimate built from walkthrough photos, measurements, notes, price-book lines, and manager-set margins, so the buyer sees the proposal while the meeting is still live.

Isolate initial walkthrough: Agent sorts CompanyCam project media by date and extracts the earliest set (the sales visit photos and voice notes), excluding build-progress or final photos.

Your review board pulls bid invitations, drawings, project metadata, Division 10 scope, quantities, manufacturers, and source PDFs from BuildingConnected, Procore, SharePoint, and other portals so estimators triage in minutes.

Filter junk from bid invitations: Classify incoming emails as real bid invitations or non-bid noise (vendor newsletters, GC questions, etc.). Only real bids proceed to the next step.

Calls, texts, Slack messages, and emails become labeled tickets with location, urgency, type, owner, and aging nudges, so printer issues, damaged items, and plant requests stop living in memory.

Classify is-this-a-ticket: The agent filters out everyday chatter and decides whether the message is an actual request needing action.

Your project lead gets a structured fabrication spec drafted from client images and the internal materials knowledge base, with gaps called out before the builder prices or corrects the build.

Image analysis: Agent reads the reference images and infers approximate dimensions, materials, and construction approach.

Your intelligence board collects new website pages, Meta ads, TikTok videos, YouTube Shorts, backlinks, and ranking shifts across 22 competitors, so agencies draft from live market evidence.

Detect new website content: Three-tier pipeline: check sitemap.xml, fall back to RSS feeds, fall back to scrape and hash-diff. Extract title, URL, and keyword theme from new pages.

Your dashboard tracks quote volume, time-to-quote, win rate, SLA breaches, and source Outlook threads, while Teams alerts the team when a quote request waits fifteen minutes without a reply.

Classify each email as quote-worthy or not: Extract shipment details from email body and PDF attachments. Run your rules against the details. Apply per-customer overrides if the sender is a known customer.

Shopify orders get tracking from fulfillment partners and vendor portals, your ops sheet stays updated, and stuck orders appear on a dashboard before customers ask.

Poll fulfillment portals: Check fulfillment partner portals every few hours for orders with new tracking numbers.

Your daily Google Sheet ranks Hot, Warm, and Long-term agencies with retirement, hiring, review, ad, website, LinkedIn, and nearby-deal signals already explained.

Filter TAM to ICP: Apply state priority list and Medicaid/Medicare classification rules to create the active monitoring set

Your weekly board collects new Meta ads, TikTok posts, website pages, and Google ranking shifts from national brands and strong locals in each metro, so you can mark items useful and share the shortlist with operators.

Detect new activity across channels: Agent identifies new pages, ranking changes, social posts, and ad launches by comparing current scrape to prior week's snapshot.

Your dashboard shows new county listings with Zillow details, Regrid parcel data, satellite boundaries, acreage, ownership, assessed value, price-per-acre, and source links so underwriters decide in minutes.

Scrape Zillow listings daily: Monitor target counties for new rural land listings. Deduplicate using address and parcel ID matching to avoid re-processing the same property.

JotForm submissions get checked against your QA rules and past approvals in under two minutes, so reps fix missing details before the production manager sees the queue.

Vision AI review: Agent reads the sketch photo using a state-of-the-art vision model to extract visible elements, dimensions, and annotations

Agency budgets, chief contacts, NIBRS compliance, RMS vendors, purchased state datasets, and trade-show leads sit in one queryable platform, so sales can export targeted lists without two days of spreadsheet matching.

Normalize and consolidate data: Map different column names and formats from five sources into unified schema with agencies, contacts, and metadata

Your dashboard combines NIBRS status, RMS vendor, chief contacts, LinkedIn enrichment, and trade-show attendee targets, so reps export qualified law enforcement lists straight into Zoho.

Aggregate agency records: Merge data from Excel files, state portals, and FBI datasets into single normalized database with deduplication by agency name and location

Your mover worklist combines Modex, MMI, licensing, production, Bonzo, Salesforce, and warm-connection checks, so recruiters push qualified loan officers into campaigns without duplicate contacts or cold openings.

Detect movers: Identify loan officers whose firm-of-record changed within 60 days using Modex or MMI/NMLS diffing.

Your dashboard deduplicates listings from eight auction sources and Craigslist, extracts brand, model, serial, year, phase, and cooling from photos and text, and sends approved lots to Google Calendar.

Scrape all eight sources every 4 hours: HiBid, ProxiBid, BidSpotter, GovDeals, TagEx, AuctionFactory, Bay Area Auction Services via web scraping. Craigslist via inbound email parsing of saved-search alerts.

A weekly report pulls competitor listings from property-manager sites and Zillow, deduplicates rentals by address, tracks days on market and price changes, and surfaces landlord leads for outreach.

Extract and normalize addresses: Parse street address, unit number, and city from each listing; normalize formatting so '123 Main St #5' matches '123 Main Street Apt 5'

Your reconciliation dashboard matches FranConnect revenue to both QuickBooks PDFs for every franchisee, marks clean three-way matches green, and surfaces only mismatches for the accountant to resolve.

Identify the franchisee from the email sender: The agent reads the sender's email address and matches it to the franchisee in your FranConnect directory or franchisee database.

Vendor payments are grouped by currency, routed through dual approval and 2FA, and exported as a bank-ready file with a full audit trail.

Auto-group by currency: Selected payments are grouped into a KYD batch and a USD batch. Mixed-currency batches cannot be submitted.

Your CSV becomes a review queue of personalized postcards with service-area overlays, brand templates, address validation, and Lob delivery tracking, so ops approves pieces instead of laying them out.

Normalize and validate addresses: Each CSV row is checked for completeness and filtered against your service-area zip codes. Invalid addresses are flagged for review.

The voice agent verifies callers, checks Liberty for active prescriptions and order status, submits refill requests, answers location FAQs, and transfers complex cases with context for the pharmacist.

Verify patient identity: Agent confirms name and DOB against Liberty records before accessing any prescription data. If verification fails, agent offers transfer without disclosing information.

ClickUp tickets get tracking numbers from New Solutions FedEx emails plus Pure and Grand Avenue portals, matched by patient and medication, so patients get shipping updates and coordinators only review exceptions.

Parse FedEx emails: Extract tracking number, carrier, ship date, and recipient from New Solutions' FedEx notification emails

Customers get email, SMS, and voice reminders before their service month, then preferred dates land in one review queue for the coordinator to book in ServiceTitan.

Parse equipment and contact details: Extract equipment list, point of contact name and role, and contact methods from ServiceTitan data and free-text job summary.

Forwarded texts, emails, and voicemails become Monday quote tickets with property, address, assignee, and review flags filled in, so requests do not depend on memory or one assigner.

Parse unstructured text: Extract client name, property reference, work type, and urgency signals from the forwarded message, handling formal RFPs, one-line texts, voicemail transcriptions, and email chains.

The voice agent answers new prospect calls, separates tenants by caller ID, reads Outlook availability, books the tour, texts confirmation, and writes the Guest Card into AppFolio before the lead calls a competitor.

Instant voice pickup: Dialpad forwards inbound new-prospect calls to VAPI; agent answers in under 600ms instead of ringing through to your staff.

Accepted Ignition proposals create the right Double HQ client, onboarding template, contact record, portal link, welcome email, and add-on reminder without Slack checks or admin handoffs.

Extract proposal data: Parse Ignition notification to extract client name, email, services accepted, and add-ons declined.

Upload current and pre-lease rent rolls, confirm unit mappings in a review table, and download side-by-side lease trade-out, occupancy, rate distribution, and other-income summaries in your existing format.

Parse and detect unit types: LLM reads both files, identifies distinct unit types by combining square footage and unit-name patterns, recognizes bed-level lease structures (1404A and 1404B as separate leases), and categorizes line items into Lease Rent, Other Income, and anomalies.

Your estimator gets a Google Sheet with line items matched to CompanyCam photos, iRoof measurements, pricing-template items, photo references, and missing-info flags, so quotes move to review instead of starting from a blank sheet.

Identify quote type: Read job type and inspection notes to determine which pricing template and scope categories apply.

Your configured reports land in the right Google Drive folder with date and report names already set, so finance can run weekly and monthly batches without clicking through remote desktops.

Connect to Pro Contractor via Azure Virtual Desktop (Flow A): The extraction opens an RDP session to the Azure Virtual Desktop endpoint, logs in using the saved connection details, and opens Pro Contractor.

Your Google Sheet gets one tab per roof section from CompanyCam photos, voice notes, iRoofing measurements, cost-sheet prices, and prevailing-wage rules, with uncertain cells highlighted for review.

Parse photo captions and measurement report: Extract deficiency descriptions from CompanyCam captions and section structure from the iRoofing PDF.

Your Replit page is generated from the discovery transcript, prospect website, testimonial library, and pricing notes, with claims checked against the call and a shareable URL ready in minutes.

Transcript analysis: Extract prospect pain points, language patterns, specific commitments, and pricing or discount mentions from the call transcript.

Your field rep gets a branded iPad estimate from photos, measurements, notes, and the price book, so the buyer can say yes while the visit is still warm.

Extract dimensions from Polycam: Agent parses measurements from the PDF, DXF, or CSV export to understand deck size, shape, and scope.

HubSpot gets qualified facility targets from Reonomy, StorTrack, and Google signals, scored by debt maturity, owner profile, reviews, rates, and buy criteria, so the team calls likely sellers first.

Address normalization and deduplication: Reonomy, StorTrack, and Google addresses are normalized to a canonical form. Lat/lng from Google Scrape is used as a tiebreaker when address strings disagree. Multi-facility operators are grouped under one Operator entity.

Your dashboard joins AppFolio work-order labor and Paycor hours by tech, territory, units, and leader, so property managers can move or hire staff from actual workload instead of gut feel.

Join AppFolio and Paycor by tech identity: Match service techs across both systems to reconcile billable hours against clocked hours

ServiceTitan events trigger review requests, estimate follow-ups, and seasonal campaigns with editable sequences, daily caps, and audience controls, so revenue does not depend on techs remembering.

Classify customers by recency and equipment type: Ingests Service Titan job history and applies rules: last service date, service categories (plumbing, heating, AC), equipment type and age, visit frequency. Produces a prioritized outbound list for seasonal campaigns.

Your Kanban board fills with ServiceTitan customers overdue for recurring service, inspections, or cleanings, including contact info, months since last service, suggested call scripts, and duplicate-signal protection.

Nightly Service Titan sync: Cron job authenticates via OAuth2 and pulls all customer records and job history from Service Titan API v2. Results are upserted into local SQLite database.

Contractors get a mobile signing link from a five-field shoot form, and the signed PDF files to Google Drive with sender, recipient, IP, and timestamp audit trail before the shoot.

Merge scope fields into template: The system fills the contractor name, project title, role, day rate, day type, and shoot date into the template's merge-field placeholders, creating a personalized contract ready to sign.

Each morning, HubSpot gets follow-up tasks with owner, due date, reason, and message angle from deal activity, call transcripts, email replies, and proposal timestamps, while high-value stale deals alert the owner in Slack.

Classify deal status: Read deal history, transcript, and email replies to determine whether the deal has a clear next step, needs follow-up, is waiting on the client, or has a rep-owned blocker.

Your vendor tracker shows renewal emails sent 45 days early, incoming certificates matched and validated, mismatches flagged, and valid COIs, W-9s, and licenses archived with source links before dispatch assigns the job.

Identify vendors expiring in next 45 days: Agent scans vendor tracker each morning and filters for documents expiring within 45 days.

Indeed applications, spend, duplicate profiles, trade attributes, and source attribution refresh daily, so screening agents and recruiter workflows start from clean data instead of scattered exports.

Stage raw Indeed data: Land candidates and spend in a staging table in Supabase. Do not write directly to candidate_profiles.

Your compliance dashboard reads daily notes, flags missing, vague, copy-paste, or incident-language entries by caregiver and location, and gives managers same-day queues plus weekly leadership trends.

Ingest daily progress notes from Therap: Pull T-Log data via manual CSV upload or automated SFTP feed. Parse and validate schema, insert into database.

One intake dashboard collects Google LSA messages, website forms, and AnswerForce summaries, sends FAQ-grounded text and email replies under one minute when confidence is high, and pushes every lead into ArboStar.

Parse and extract: Lightweight-tier model extracts name, phone, email, address, city, zip, and scope of work from raw inquiry text

PAX8 data and uploaded invoices land matched to Autotask customers and services, with quantity drift, unmatched lines, prior-month changes, and approval actions ready before billing runs.

Parse vendor invoices: AI extracts line items, customer labels, SKUs, quantities, and unit prices from PDFs and Excel files into a normalized schema. PDFs are processed per document section; Excel files use column-header detection.

The approval portal lets submitters select vendors and amounts, routes approver 2FA, generates a bank-ready payment file, and logs every bank-detail change.

Vendor bank detail validation: System verifies vendor bank account number, currency, and bank name are current and authorized.

Your claim packet lands in Drive with job-matched photos, invoices, serial eligibility, tracker links, and missing-item flags, so the coordinator submits a complete claim instead of hunting through emails and portals.

Match evidence to work order: Link photos and invoices to the correct ServiceTitan job using customer name, site address, work order number, and technician notes.

Paste a URL and get meta-tag checks, tracking-script checks, form tests, viewport screenshots, Safari coverage, and visual QA notes in the same structure as your launch checklist.

Site crawl and page discovery: Playwright discovers all pages on the site. Typical Marion sites yield 15-20 pages.

Client balances, last-quarter values, retirement totals, net worth, and cashflow calculations feed into ready-to-review reports, so meeting prep moves from assembly to review.

Calculate Excess: Inflow (monthly salary) minus Outflow (agreed expense budget) equals the amount that accumulates in Private Reserve each month.

Your Google Sheet gets daily SAM.gov, USACE, FERC, and DOT project wins with winning company, scope, location, rental-fit score, and named contact, so short selling windows go to calls instead of research.

Normalize heterogeneous award formats: Government and utility listings come in different schemas. Lightweight LLM normalizes to: company, project, location, date, scope, duration.