Template gallery

Detect abandoned shopping carts, profile the shopper, decide an incentive tier (with PVSC consensus to avoid discount abuse) and send a personalized multi-channel recovery flow over email, SMS and push.

Continuous WCAG 2.2 / ADA / EAA 2025 / Section 508 auditing: crawl targets, run axe-core / Pa11y / Lighthouse / WAVE scans, analyze context-dependent heuristics (alt-text quality, reading order, keyboard traps), classify

Input a product description + target audience. An LLM generates 10 ad variations tuned to each platform (Facebook, Google Search, LinkedIn, Twitter, Instagram) respecting channel-specific character limits and voice conve

A 24/7 1-on-1 aerospace tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. Combines aerospace

Continuous auditor for the EU AI Act Annex III high-risk systems (effective 2026). Walks every deployed AI service in your inventory, pulls its model card / system documentation / risk assessment, and scores compliance a

An enterprise call center where the operator declares N AI personas (support, sales, billing, VIP, language X…), each with its own KB / voice / escalation rules. Inbound calls land via one or more Twilio numbers — each p

Incoming customer message → an LLM agent classifies intent and urgency → high-urgency messages go to a webhook (Zendesk / CRM), low-urgency get a templated email auto-response. Showcases the LLM engine + 2 different sink

Auto-triage production alerts in under 2 seconds with a cryptographically-signed audit trail. Route, enrich and act on each page before a human even reads it — and prove every decision later, in front of a regulator, wit

Eighth and final step of the business-launcher journey — designs the AI agent organisation that will RUN the business going forward. Reads the brief / niche / budget / jurisdiction / checklist and produces an org chart o

A 24/7 1-on-1 AI / ML tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. They photograph (or p

An end-to-end virtual back office where 6 specialist AI agents (Appointment, Calendar, Finance, Accounting Prep, Sales, Marketing) handle the operational work of running a small business and report to the human boss. Eac

Polls PagerDuty + Datadog monitors every 2 minutes, clusters alerts across a 10-minute sliding window by affected host/service/error-signature, then asks an LLM to classify each cluster as: (1) NEW_INCIDENT (route to on-

Watch every inbound API request in real time, keyBy the caller's apiKey, slide a 60-second window every 5 seconds, and fire a rate_limit_breach the instant any single API key crosses 100 requests / minute. Uses the strea

Parse a scheduling request, classify clinical urgency with PVSC consensus, match the patient to the right in-network provider, resolve the EHR calendar, block double-bookings and respect clinical buffer rules, then book

Daily sweep of the AR aging buckets → chooses the right next touch for each overdue invoice and schedules it. The cadence is driven by customer risk score + invoice amount + days-past-due bucket — a high-risk €250k invoi

Weekly scan of the creator's YouTube / TikTok / Instagram / Twitter / Reddit comments — pulls every 'can you do a video on X?', 'please explain Y', 'part 2?' directly from the audience mouth. An LLM clusters the requests

Receives a vehicle photo + accident description from the policyholder via the claims app, runs a vision LLM to detect damaged parts, cross-references the parts catalogue + labour-rate book, and emits a settlement-range e

End-of-quarter stress-test runner for the Basel IV credit / market / operational-risk capital requirements (finalised 2026 in the EU CRR3 / CRD6 transposition). Pulls the bank's exposure book, applies the regulator-publi

Continuous fairness audit for any production model that decides on people (lending, hiring, insurance, allocation). Computes the four canonical group-fairness metrics (demographic parity, equalised odds, equal opportunit

Continuously watch social media, news, forums and review sites for brand mentions. Analyze sentiment, detect emerging crises with PVSC consensus, prioritize influential voices and recommend on-brand responses — no mentio

First step of the business-launcher journey. The operator describes the business they want to stand up — name, niche, mission, target market, budget, jurisdiction — and Pulse turns it into a structured brief: a voice pro

Optional step in the business-launcher journey, inserted between the web step (which proposes 5 domain candidates) and the social step (which needs the final domain to thread into bios + post copy). The operator picks on

Step 2 of the business-launcher journey. Takes the structured brief from business-brief — voiceProfile, audienceSegments, positioningStatement — and produces the visual identity scaffold: a 5-color palette with rationale

Sixth and final step of the business-launcher journey. Reads everything earlier steps produced (brief, identity, web, social, campaign) and emits a concrete 30-day operational checklist the founder can paste into Notion

First step of the business-launcher journey — runs BEFORE Brief so the operator doesn't burn budget structuring an idea the market has already crushed. The Pre-Flight uses the LLM as a lightweight market analyst: it scor

Step 4 of the business-launcher journey. Reads the brief + identity + web positioning from earlier steps and produces a complete social-media launch kit: handle availability checks, profile bios for 4 platforms, the firs

Step 3 of the business-launcher journey. Reads the brief + identity from earlier steps and produces a complete landing-page scaffold: ready-to-paste HTML for a one-pager, full meta-tag suite (title, description, OG card

Pre-purchase verifier for carbon-credit projects: pulls the project's registry record (Verra VCS, Gold Standard, ART/TREES), independent monitoring reports, satellite-imagery-derived land-cover change, and any controvers

Detect abandoned carts in real time using a streaming CEP pattern: ADD_TO_CART followed by VIEW_CART and then NO checkout within 10 minutes fires an ABANDONED_CART event the operator can route to a recovery email or a re

Weekly (or daily) short-horizon cash-flow forecaster for a corporate treasury. Pulls AR (receivables + aging), AP (payables + due dates), scheduled debt drawdowns / repayments, payroll cycles, tax remittances, and confir

Daily on-premise pipeline that reads the organisation's certificate inventory from a Google Sheet OR a database table (rows: common_name, san_list, issuer, not_before, not_after, scope: 'internal'|'public', criticality:

A 24/7 1-on-1 chemistry tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. They photograph a s

SaaS / subscription customer retention: aggregate usage, billing, support and engagement signals; engineer churn features; score risk with PVSC consensus; pick the right save playbook; gate for discount abuse and over-co

Unify CI events across GitHub Actions, GitLab, Jenkins, CircleCI and Buildkite; classify every failure (real bug vs flake vs infra), attribute blame to the right PR / author / file, track pipeline health trends and auto-

Slashes the recruitment bottleneck that delays 80% of clinical trials: scans the EHR for patients matching a study's inclusion / exclusion criteria, scores eligibility against the protocol, surfaces the top candidates to

Daily FinOps pipeline that queries the cloud billing export in BigQuery (AWS CUR / GCP Billing Export / Azure Cost Export all land in BQ as standard practice) and detects cost anomalies by service × account × day vs a 14

Listing-agent pipeline that builds a Comparative Market Analysis for a subject property. Scrapes 5-8 comparable sales (recently sold, active-now, pending) via Firecrawl across Zillow / Redfin / Realtor.com + optionally r

A reference customer-support agent wired with the full per-agent cognitive architecture: a SOUL (stable identity + values), an INTELLIGENCE that selects a reasoning mode per event (emotional for unhappy customers, strate

Monthly scan for creators in ADJACENT niches (not direct competitors) at similar audience size, whose viewers would naturally discover you. Pulls candidate creators from YouTube + Twitter + Perplexity, scores each on aud

Scheduled daily scan of competitor websites, pricing pages, job boards and social. Firecrawl maps each site and scrapes changed pages; SerpAPI pulls ranking / news mentions; an LLM diffs against yesterday and flags meani

Weekly cron scrape of competitor blogs + changelog + newsroom pages via Firecrawl. An LLM reads what's new this week, compares against the running theme index to flag genuine pivots vs. routine posts, and ships a single

A 24/7 1-on-1 computer-science tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. They photogr

Upload a podcast episode URL, webinar recording or long-form video. Whisper transcribes. An LLM extracts the 10 strongest quotes, then generates 10 tweets (with hashtags), 3 LinkedIn posts and 1 email newsletter from the

Turn the creator's own sources (YouTube channels, blog / RSS feeds, uploaded documents) into tailored social posts twice a week. The pipeline watches the sources on a schedule, extracts each new item, drafts one variant

Ingest any contract (MSA, NDA, DPA, SOW, vendor, employment), extract clauses, compare to your playbook, score deviations, track obligations and deadlines, and produce a redline — every assessment is PVSC-validated and n

Input: a trending topic or consensus take that's dominating the creator's niche feed. The drafter surfaces the strongest SAFE contrarian position — not clickbait-for-rage, but a defensible counterpoint grounded in actual

Daily end-of-day monitoring of historical correlations across a configured basket of pairs / baskets / factor exposures (e.g. AAPL vs XLK, GLD vs DXY, HYG vs SPX, Nasdaq vs 10-year yield, Brent vs USD/NOK, regional-bank

AI-powered credit scoring pipeline. Aggregates applicant data, scores risk with PVSC validation, and makes fair lending decisions.

A 24/7 critical-thinking tutor that walks any student — from a sixth-grader spotting cartoon-villain plot holes to a doctorate student dismantling a published paper — through argument structure, evidence quality, cogniti

Input: one source piece (blog, newsletter, podcast episode, long-form video, essay). Output: 6 platform-native versions — YouTube long description + chapters, YouTube Short script, TikTok script, X thread, LinkedIn post,

Runs weekday mornings: pulls top-50 coins by market cap (CoinGecko), the current top-7 trending coins, and narrative context from Perplexity / SerpAPI. An LLM synthesises a short 'what happened and what's crowded' briefi

Dollar-cost averages into a configurable crypto basket (e.g. 60% BTC / 30% ETH / 10% SOL) on a schedule (weekly / bi-weekly / monthly). Pulls the current Alpaca account cash + CoinGecko price snapshot, computes the per-a

Quarterly collector for the EU Corporate Sustainability Reporting Directive (CSRD) — surfaces every disclosure metric in the European Sustainability Reporting Standards (ESRS E1-E5 environmental, S1-S4 social, G1 governa

Daily aggregation of per-customer signals — support ticket volume + sentiment, NPS responses, in-app activity (from a database / Segment), payment events (Stripe / PayPal). An LLM combines the trend lines into a health s

End-to-end onboarding pipeline for B2B SaaS: when a new customer signs up, the orchestrator provisions their workspace, fires the welcome email sequence, schedules the kickoff call, posts a context-rich brief to the assi

Receive support tickets, auto-categorize with AI, respond to common questions, escalate complex issues to human agents.

Scheduled daily digest that asks Perplexity a set of tracker questions ('What happened yesterday in X?'), then compiles the cited answers into one email / Slack post. Leverages Perplexity's built-in web-search + citation

Ask a data question in natural language. An LLM writes Python against your data, an E2B Firecracker sandbox runs it (pandas, matplotlib preinstalled), and the result — including charts — comes back as a cited answer. The

Silent-failure-proof data observability: run declarative checks (Great Expectations / dbt test / Soda / custom SQL), detect schema drift, monitor freshness SLAs per table with lineage cascade, PVSC-validated anomaly dete

AE pipeline that composes a deal-specific competitive battlecard — distinct from static battlecards — by mapping OUR positioning library against the SPECIFIC competitors mentioned in THIS prospect's CRM notes AND the SPE

Weekly scoring of every deal in the rep's / manager's pipeline. Combines hard signals (days since last meaningful touch, email open/reply trajectory, stakeholder coverage, stage-velocity vs team baseline, quoted amount v

When Dependabot / npm-audit / pip-audit / Snyk opens a PR, the triager does what humans skip: check whether the vulnerable code path is actually exercised in YOUR codebase. Firecrawl pulls the CVE advisory, an E2B sandbo

On every deploy event (GitHub Actions / GitLab / Jenkins / webhook), open a 10-minute correlation window that watches error-rate, latency p99 and saturation metrics in Datadog / Prometheus. An LLM reads the burn-rate aga

Reusable agent capability: turn any YouTube link, blog URL, RSS feed, or uploaded document (PDF, DOCX, DOC, HTML, TXT, MD, RTF) into a normalised extract, run a customisable LLM analyst over it, and route the verdict. Fo

Watches PagerDuty / Datadog / Jira for ICT incidents on systems classified as 'critical' under the EU Digital Operational Resilience Act (DORA, in force since Jan 2025) and assembles the four DORA-mandated reports — init

Handles every Data Subject Access Request the GDPR / UK-GDPR / CCPA-CPRA gives an individual: access, rectification, erasure, portability, restriction, objection, withdraw-consent. The bot fans out a query to every regis

Continuously monitor competitor prices, demand signals and stock levels, then adjust catalog prices with AI — every decision is bounded by business guardrails and PVSC consensus before it hits the storefront.

Scheduled on the earnings-season calendar: fetches each tracked ticker's quarterly earnings-call transcript (Seeking Alpha / Motley Fool / company IR / SEC 8-K exhibit) within 2 hours of release, extracts guidance deltas

Scheduled on the economic calendar (FOMC, CPI, NFP, PPI, PMIs, ECB, BoJ, CB minutes). T-24h and T-1h before each event, produces a trading playbook: consensus expectations vs whisper, options-implied move size (straddle

End-to-end litigation support: issue and track legal holds with custodian acknowledgments, collect data from every enterprise system with chain of custody, dedup and process documents, PVSC-validated privilege and respon

A 24/7 1-on-1 electronics tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. They photograph a

Monitor inbox, categorize emails by priority and department, send alerts for urgent ones.

End-to-end onboarding for a new hire: provisioning accounts and equipment, assigning a buddy, scheduling training, tracking required documents, and running AI checkpoints at day 1, 7, 30 and 90 with PVSC quality consensu

Reads sub-meter telemetry from compressed-air, HVAC, lighting and main-line motors at 1-minute intervals; identifies the three biggest contributors to off-shift baseload (the energy you waste while the line is idle) and

Watches your watchlist's ESG ratings across MSCI, Sustainalytics, ISS, S&P Global; alerts the portfolio team when a name's rating moves materially or a controversy event shifts the score. Critical for sustainability-mand

Student-facing pipeline for the pre-submission phase — NOT a grading tool. Upload a draft, and the pipeline returns structured feedback across 6 axes (thesis clarity, argument structure, evidence use, citations, style, m

Post-trade Transaction Cost Analysis. At end-of-day (or on T+1 reconciliation), pulls every parent order + its child fills + the market-data context at each fill (NBBO spread, quote depth, arrival price, VWAP, TWAP). Com

Automated expense receipt scanning, data extraction, policy validation, and report generation. Handles photos, PDFs, and email receipts.

Automated financial reporting. Aggregates accounting data, analyzes trends, generates P&L, balance sheet, and board-ready reports.

Student-facing pipeline: upload a chapter / lecture notes PDF / URL, the template extracts the content, clusters it into atomic concepts, and emits an Anki-ready CSV with two complementary card types — cloze-deletion car

Live Shopify orders enter via webhook → a velocity-rule engine flags customers placing 10+ orders in 2 minutes → alerts route to Telegram (instant) and the live Dashboard panel. Three nodes, sub-200ms end-to-end, no glue

Compute the real ROAS per paid-marketing channel by stitching the full funnel — landing → first-touch → nurture → SQL → close — against live ad-spend pulled from Google Ads / Meta Ads / LinkedIn Ads / TikTok Ads through

Discover personal data across your databases, storage buckets, logs and vendors; classify it under GDPR Art. 4 / 9 (with PVSC consensus on special categories); map each processing to a lawful basis (Art. 6); audit DPAs a

Turn a campaign brief into a launched (and paused, awaiting your sign-off) Google Search campaign in minutes. A webhook receives the brief, a rule-based Brief Validator gates under-funded / vague briefs BEFORE any LLM or

Student-facing pipeline with a deliberate anti-pattern built in: it NEVER gives the answer. Student uploads a problem (math, physics, chemistry, essay prompt) and the pipeline returns a 4-rung hint ladder — each rung sli

When a PagerDuty incident resolves, the drafter stitches the story together — Slack messages from the incident channel, the PagerDuty timeline, deploys that fired during the window, Datadog metrics, GitHub PRs referenced

Input a niche topic + audience profile. Perplexity + SerpAPI + Twitter + YouTube search surface 30-50 candidate creators. An LLM ranks them by relevance, apparent engagement rate, recent activity, and audience alignment

End-to-end FNOL (First Notice of Loss) processing across auto, property, homeowners, workers' comp and general liability: structured parsing, PII / PHI sanitization, policy verification, coverage analysis with PVSC conse

Cross-warehouse inventory rebalancer: reads stock levels per SKU per warehouse + the rolling 30-day demand forecast per region, then proposes inter-warehouse transfers that minimise stockout risk + total miles. Operation

Automated invoice ingestion, AI-powered data extraction, validation, categorization, and approval routing.

Average every sensor reading per device per minute with a streaming tumbling window, then alert if the average temperature exceeds 75 °C. Replaces a noisy per-reading rule chain — every individual reading is normally wel

Collect sensor data in real-time, detect anomalies with rules and AI, send formatted alerts with context.

Manual input simulates an IoT sensor stream → rule engine detects a 5°C jump in 60s → fires Slack + writes JSONL log to disk. Demonstrates the 'Manual Input' source for ad-hoc replays + a streaming-style rule + 2 differe

Continuously scan job boards, salary surveys and competitor hiring pages to produce role normalization, skill trends, compensation benchmarks (PVSC-validated), competitor signals and a talent gap analysis against your cu

Candidate-side pipeline. Polls five sources (Greenhouse, Lever, RSS/Atom feeds, LinkedIn, Indeed) for newly-posted roles, scores each against the candidate's profile (keywords, roles, salary band, remote preference, work

Weekly analysis of all resolved tickets from the past 30 days. An LLM clusters tickets by root cause and asks 'was this issue in the KB at the time the ticket arrived?' via vector search. Topics repeatedly coming up with

Incoming tickets (Zendesk / Intercom / email / webhook) get an answer drafted by an LLM that ONLY pulls from your indexed knowledge base — every factual sentence cites a KB article, hallucinations are blocked at the Cita

Turn your Notion / GitHub / Google Drive / OneDrive / S3 / GCS / Slack content into a cited Q&A system. Ingestion chunks docs with ACL metadata, embeds them (OpenAI-compatible or Ollama) and stores in Postgres + pgvector

Automated Know Your Customer and Anti-Money Laundering pipeline. Document verification, sanctions screening, and risk-based decisions with PVSC consensus.

Input a landing page URL + the keyword it targets. Firecrawl scrapes the top-3 SERP competitors for the same keyword, an LLM diffs their positioning (headline, value prop, social proof, CTA, visual framework), and propos

A new lead lands via webhook (form submission, Stripe new customer, chat widget). Tavily + SerpAPI research the company, an LLM scores fit + buyer persona + intent, and the enriched lead lands in HubSpot / Salesforce wit

Turn an attorney's research question into a cited memo: parse intent, retrieve primary sources from Westlaw / Lexis / CourtListener / EUR-Lex, verify every citation against the live source, synthesize with PVSC consensus

Teacher-facing pipeline: given a topic + grade level + lesson duration + (optional) curriculum framework (Common Core / IB / MEN / NGSS / AP), emits a full lesson plan with learning objectives mapped to named standards,

Turn a B2B campaign brief into a launched (and paused, awaiting your sign-off) LinkedIn Sponsored Content campaign in minutes. A webhook receives the brief, a rule-based Brief Validator gates under-funded / vague briefs

Listing-agent pipeline that turns structured property details (beds / baths / sqft / year / features / location / neighborhood notes) into multi-channel marketing copy — an MLS-ready description (word-count-aware, flag-a

Researcher / grad-student pipeline: given a research topic + scope (year range, minimum citations, open-access-only toggle), queries OpenAlex for relevant works, expands the citation graph one hop in each direction from

Ingest logs from every observability backend, structure them, classify known patterns with deterministic rules, detect anomalies and cross-service regressions with PVSC consensus, correlate root causes across services vi

Spot per-service error spikes the moment they happen by filtering for ERROR-level entries, keying by service name, and sliding a 10-second window every 1 second. Fires an error_spike alert whenever a single service accum

Catch credential-stuffing and bot login bursts the moment they happen: a streaming CEP pattern fires the instant a single user accumulates 5 or more LOGIN events within 60 seconds. No LLM, no batched DB poll — runs on th

A 24/7 maker tutor that voice-walks the student through building a real, physical, working machine every single session. Generates a complete bill of materials with current-price purchase links from the supplier you trus

Manual Input source → rule enrichment → fanout to File (audit), Dashboard (live UI), Webhook (downstream system) and Telegram (ops). One event in, four destinations out — demonstrates the multi-sink fanout pattern + the

Real-time trade surveillance that runs every Pulse compute primitive on one market-data flow. Raw FIX messages are decoded to clean JSON ticks by YOUR sandboxed WebAssembly module (Chicory, fuel-bounded), scored for spoo

A 24/7 math tutor for your student — answers their voice or chat questions, walks through problems with the Socratic method instead of just giving answers, generates practice assessments at their current grade level, and

Ingest lab results, imaging reports and consult notes; parse structured fields; summarize both for clinicians and for patients in plain language; flag abnormal values; deliver to the EHR inbasket or patient portal — with

Turn every recorded meeting into structured value: transcribe, attribute speakers reliably, summarize with PVSC consensus on commercial commitments, extract owned action items with due dates, propose CRM updates for huma

Fires 15 minutes before every sales / customer / recruiting meeting on the calendar. Pulls the attendee list, cross-references each attendee against their LinkedIn + recent company activity + past touches with the host +

Post-meeting pipeline that ingests a call transcript (uploaded MP3 transcribed via AssemblyAI, a Gong/Chorus/Fathom webhook, or a pasted transcript), extracts structured deal signals — action items with owners + deadline

Drop a meeting recording URL into Pulse. AssemblyAI transcribes with per-speaker labels + auto-chapters + sentiment. An LLM extracts decisions, action items (with owners + due dates) and open questions. Result posts to S

Turn a campaign brief into a launched (and paused, awaiting your sign-off) Meta campaign across Facebook + Instagram in minutes. A webhook receives the brief, a rule-based Brief Validator gates under-funded / vague brief

Real-time scanner for MEV (maximum extractable value) attacks on a DeFi position: monitors mempools / public RPC for sandwich attacks, front-running, back-running, JIT liquidity attacks and arbitrage racing your own swap

Watch every DEX swap in real time and flag the canonical sandwich-attack signature using the StreamReasoning CEP engine: an attacker buy, a victim-sized big trade, and an attacker sell — all from the same wallet within t

Weekly MLOps pipeline that surveys the team's experiment tracking backend (MLflow / Weights & Biases / Neptune / self-hosted tracking schema via SQL), surfaces what IMPROVED, what REGRESSED, and what was ABANDONED since

Scheduled MLOps pipeline that detects production inference drift vs a frozen training-time baseline. Daily (or configurable) it pulls per-feature summary stats from the model's inference-log table (mean, std, p05/p50/p95

Mortgage-broker pipeline that watches the broker's daily rate sheet (Google Sheet the broker updates manually each morning with lender-published rates OR a scraped feed) against a borrower watchlist (loan amount, credit

The flagship paid-ads template. Runs nightly, looks at yesterday's performance across Google / Meta / TikTok / LinkedIn, and reallocates tomorrow's daily budgets toward the channels that are over-delivering — capped, aud

Multi-channel A/B testing for paid ads. The marketer drops 2+ ad variants (headlines, descriptions, optional creative images) and a target audience, the pipeline scores each variant on tone + audience fit with an LLM, th

One pipeline that exercises every processing primitive Pulse + StreamFlow can run, on a single predictive-maintenance flow. Raw machine telemetry is sanitised by YOUR sandboxed WebAssembly module (WASM, Chicory, fuel-bou

Route each request to the cheapest LLM that can answer it — cascading from Groq (fast + cheap) to Gemini Flash to GPT-4o, with Perplexity as the 'needs web search' escape hatch. The router classifies the question first,

A 24/7 music tutor for any instrument — listens to the student play via the phone or an uploaded clip, names the pitch / rhythm / dynamics errors, demonstrates the fix in the student's chosen voice, and tracks weak techn

Fully automated newsletter: curate weekly content, segment subscribers, personalize per segment, optimize subject lines (A/B with PVSC quality consensus), schedule at each recipient's best hour and measure engagement.

Scheduled weekly cron that drafts a newsletter issue in YOUR voice from the past week's signals. Pulls: your recent bookmarks / saves (Notion / Airtable / Raindrop via the HTTP plugin), Perplexity's take on what's trendi

A 24/7 1-on-1 nuclear physics tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. They photogra

Computes Overall Equipment Effectiveness (OEE = Availability × Performance × Quality) per line per shift from MQTT-published machine telemetry. Surfaces the three OEE drivers that broke (downtime cause, slow-cycle minute

At every on-call shift change, an LLM summarises the outgoing shift — alerts fired + who handled them, incidents opened + closed, incidents still open, trending error themes from the logs, deploys that shipped, runbooks

Listing-agent pipeline that turns an open-house sign-in sheet (Google Sheet ingested via gsheets.read_range) into a 3-touch personalised nurture sequence — T+24h thank-you, T+3d answer-their-question, T+7d matching-inven

Detect order-velocity fraud at line rate using the StreamReasoning engine: keyBy customer, tumble per minute, and fire a velocity_alert as soon as 5 or more orders cluster in a 60-second window. Catches card-testing and

Monitor transactions in real-time, detect fraud patterns with AI, alert security team on suspicious activity.

End-to-end order fulfillment: inventory allocation across warehouses, carrier selection, label printing, exception handling and customer tracking — with PVSC consensus on anything that touches a customer refund or split

Daily (or on-demand) brief on each prospect on the AE's target list — the 10 minutes of research every outbound message should carry before it sends, at scale. Pulls from the prospect's LinkedIn + company news (SerpAPI +

SDR / AE pipeline that drafts a personalised 3-touch outbound sequence (Email 1 → LinkedIn connection note → Email 2) per prospect row from a CRM list or Google Sheet. Input per prospect: firstName, lastName, title, comp

Track the rolling worst-case page-view latency per route over a 30-second tumbling window and alert when the maximum exceeds 800 ms — the threshold past which conversion measurably drops. The streaming engine computes th

Listens for overnight / intraday news on a tracked watchlist (SerpAPI google_news + Tavily cross-check), asks an LLM to attribute the catalyst and score conviction, then routes a single sized paper-order through Alpaca.

Teacher-facing pipeline for the #1 time-sink in K-12: drafting parent emails. Teacher submits a short note ('Ana missed 2 homeworks this week, seemed distracted during class Tues + Thurs') + tone ('warm' | 'professional'

Structured intake for new and returning patients: parse the submission, sanitize PHI before any LLM call, detect clinical red flags with PVSC consensus, verify insurance eligibility and route the patient to the correct c

Predicts which appointments will no-show 24 hours in advance using historical patterns (visit history, distance from clinic, weather, day of week, prior cancellations, payer type). High-risk slots get a personalised remi

Drop a PDF / Word / Excel file into Pulse's uploads, then ask questions. Document Reader extracts the text, Text Chunker splits it, Pinecone (or pgvector / Qdrant) stores the embeddings, and an LLM answers with citations

Upload your textbook, notes, YouTube playlist, codebase — anything. The tutor reads it all, builds a multi-session curriculum tailored to your goal, teaches via voice. Every claim is grounded in your uploaded sources — n

Drains the suspicious-email queue your users forward to security@. For each forwarded email: header forensics (SPF / DKIM / DMARC, sender reputation), URL detonation in a sandbox, attachment hash lookup, language pattern

A 24/7 1-on-1 physics tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. They photograph a fre

Live scanner that catches personally-identifiable information leaving your perimeter through any LLM-powered service: every model output (chat, autocomplete, summary, generated email) is screened for SSN, credit-card, IB

Strip personally-identifiable information out of a live stream with YOUR OWN sandboxed WebAssembly module — no redaction code ships inside StreamFlow. Events flow source → a streaming agent whose single `wasm` operator c

Runs twice-weekly (Tuesday + Thursday) across every rep's pipeline. Enforces MEDDIC / BANT / CHAMP discipline: close date in the past? → flag. No next step or next step > 14 days out? → flag. Amount empty or conspicuousl

End-to-end podcast / long-form video production: ingest raw recordings, transcribe with speaker diarization, clean audio via enhancement providers, generate chapter markers and show notes with PVSC editorial quality, cli

Input: an upcoming guest's name + the episode topic. The pipeline pulls their recent published work (Perplexity + Tavily + Firecrawl on their site, LinkedIn, YouTube), checks for recent controversy (so you don't get blin

Auto-drafts the renewal quote for every policy expiring in the next 60 days. Pulls the policyholder's claim history, current exposure changes (new vehicle, address change, age bracket), and the latest underwriting rules,

End-of-day (or intraday on-demand) portfolio risk sweep for a long-only, long/short, or multi-strategy book. Pulls current positions + market-close prices, computes 1-day / 10-day parametric VaR, concentration by name /

Fires weekdays at 8:30 AM ET (1 hour before US cash open). Scans the tracked watchlist (or the full S&P 1500) for: pre-market gap percentage vs prior close, pre-market volume vs 20-day average, overnight news catalysts (

Industry-4.0 predictive-maintenance pipeline for rotating equipment (motors, pumps, compressors, HVAC). Reads vibration / temperature / current draw from MQTT-published sensors, runs the rolling FFT + Z-score baseline, a

Drains the renewal-request queue that swallows 30% of an outpatient practice's clinical hours: monitors the EHR for prescription expiries within 30 days, pulls the patient's recent visit notes / labs / vital signs, and p

Daily SerpAPI google_news + Tavily scan for press mentions of your brand / products / execs. Every mention gets sentiment-scored, reach-estimated (domain authority + visible shares), and persisted with an embedding so th

Cuts the 7-day prior-authorization wait that is killing US healthcare practices: when a clinician orders a procedure or specialty drug, the bot pulls the patient chart, the payer's coverage policy, and the prior medical

Collects and analyzes product reviews. Identifies sentiment trends, feature requests, and competitive intelligence.

Live shield for any LLM-powered service: every inbound prompt and every retrieved-document chunk is scored for prompt-injection (jailbreak attempts, instruction override, hidden tool-call requests, encoded-language explo

Ingest leads from portals, web forms and call-center transcripts; parse intent, verify pre-approval, score motivation with PVSC consensus, match to inventory or market comps, route to the right agent and draft a personal

Multi-stage assistant that turns a target tender into a first-draft RFP response: parses the procurement notice, extracts every mandatory + scored criterion, drafts the technical and methodology sections from your win-th

Vision-based quality-control gate for production lines: cameras above the conveyor stream frames to Pulse, an LLM classifies each unit (PASS / RETURN_TO_LINE / SCRAP / FLAG_FOR_REVIEW) against a curated defect library (s

A 24/7 1-on-1 quantum-sciences tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. Combines qua

Teacher-facing complement to the flashcard template. Upload a chapter / lecture transcript / slide deck, and the pipeline emits a 3-section quiz: multiple-choice (with distractors that map to real student misconceptions,

Scheduled daily hunt for what's BLOWING UP in the creator's niche — new viral videos, hot takes going sideways, thread posts crossing 1k replies, surprising news drops. Pulls from YouTube (new top videos in niche channel

Refund requests arrive (Zendesk tag, dedicated webhook, chat bot). An LLM reads the customer's order history + the refund policy document + the ticket narrative and issues a deterministic decision: APPROVE (Stripe / PayP

Weekly CSM pipeline that scores churn risk for every account with renewal in the next 90 days. Combines hard signals (usage trend via db.query on the product analytics warehouse + login frequency + feature-adoption compl

Daily (short-term) or monthly (long-term) rental price recommendations from live competitor data, demand forecasts and occupancy — with PVSC consensus on pricing strategy and rule-based legal guardrails for rent control,

Student / early-career researcher pipeline for the single-paper deep read. Given a DOI or OpenAlex id, the template fetches the paper's metadata via OpenAlex, extracts its abstract (and the body text if a PDF URL is avai

The no-code build of Resonance: a creator submits their OWN post to a webhook; an LLM scores its virality and rewrites it per platform; a rule gate holds the weak ones; every strong one PAUSES on a human-approval review

AI-powered resume screening. Receives applications, extracts skills, scores against job requirements, and shortlists candidates with bias-prevention.

Turn a marketing brief into a profitable, ready-to-launch influencer campaign. Stage 1 (this milestone): the rule-based Brief Validator gates every request — too-low budget, vague audience, no platforms selected, target

A 24/7 1-on-1 robotics tutor that speaks. Students call a phone number, send a WhatsApp voice note, or DM the Telegram bot and the agent answers in the voice / gender / language / tone you configure. They photograph a ki

Teacher-facing pipeline that ASSISTS, never substitutes, for grading. Input: a student submission (PDF / DOCX / text via email ingest or Google Drive) + a rubric (criterion / levels / point values). Output: a suggested p

Pre-listing screener for any new DeFi token before you swap into it: contract source verification, mint / pause / blacklist authority checks, LP-lock status, top-holder concentration, dev wallet movements, social-channel

When a PagerDuty incident fires, an LLM matches the alert against your runbooks (indexed in a vector store), picks the best-matching one, and runs its SAFE diagnostic steps in an E2B / Daytona sandbox — `kubectl get pods

Triggered by a new call recording (Zoom / Gong / Chorus / Fathom webhook or raw MP3 upload). Transcribes via AssemblyAI or Whisper, then runs a coaching pass: talk-listen ratio per participant, question count + type (ope

B2B SaaS / services lead pipeline: enrich incoming leads with firmographics, cross-check intent signals, score MQL with PVSC consensus, route to the right AE by territory and capacity, draft a personalized first-touch th

Quarterly tracker for Scope-3 emissions (purchased goods, capital goods, fuel-and-energy, transport, business travel, employee commuting) — the hardest category to estimate and the one CSRD / SEC climate rules now requir

Real-time monitor of EDGAR for a watchlist of issuers — watches 10-K, 10-Q, 8-K, DEF 14A, 4, and 13F filings. On a new filing, it pulls the document, diffs it against the prior equivalent filing (last 10-K vs new 10-K, e

Ingest alerts from every SIEM / EDR / CSPM, deduplicate and correlate into incidents, enrich with threat intel and asset context, classify severity with PVSC consensus, match to an IR playbook and route to auto-containme

From keyword brief to published article: SERP-informed research, outline, drafting, SEO optimization with PVSC quality consensus, automated publishing to your CMS and rank tracking — all in one pipeline.

Scheduled daily scan of your target keywords on Google via SerpAPI. An LLM diffs today's rankings against yesterday's snapshot, flags moves >3 positions, and pings Slack when you drop out of the top 10 on a priority keyw

Replaces the carrier's static ETA with a continuously-updated prediction that accounts for the latest GPS ping, weather along the corridor, port congestion, and historical lane variance. When the new ETA slips past the c

Input: a topic or a long-form piece. Output: a frame-by-frame 15-60 second script for TikTok / Reels / Shorts — hook 0-3s, retention peaks every 5-7 seconds, loop-back CTA that resets the first-frame view count. Every be

Long video or podcast → Whisper transcribes → an LLM finds the 5-8 highest-retention moments (counterintuitive takes, specific numbers, emotional peaks, tight story arcs) with exact timestamps. For each moment: a hook li

Every 15 minutes, scan open tickets across Zendesk / Intercom / Jira and score each one's probability of breaching its response / resolution SLA in the next N hours. The scorer combines deterministic signals (age vs SLA

End-to-end Security Operations Center pipeline: ingest alerts from SIEM, enrich with asset / identity / geo / threat intelligence, classify severity and MITRE ATT&CK technique, correlate with prior campaigns, select and

Scheduled scan of brand and product mentions across Google News (SerpAPI), Perplexity, Twitter / X, Reddit (via Firecrawl) and HN. An LLM classifies each mention's sentiment + intent (buying / comparing / complaining / p

AI-powered content creation and multi-platform publishing. Generates, adapts, and schedules content across TikTok, Instagram, LinkedIn, Twitter, and Facebook.

Polls USDC / USDT / DAI / FRAX / USDe every 60s (CoinGecko), flags any deviation from $1 peg beyond configurable thresholds — WATCH (±0.2%), WARN (±0.5%), DEPEG (±1.0%) — and escalates severity through Telegram (always),

Runs every 60s while the US market is open. Pulls the current Alpaca positions + live quotes, computes the unrealized loss % per open position, and when a position breaches its configurable stop-loss level an LLM guardia

Student-facing pipeline: upload a syllabus / course outline + target exam date + daily study window, and the template emits a day-by-day plan with spaced-repetition checkpoints, loads the schedule as events into Google C

Scans every closed claim for subrogation potential (third-party at fault → recover from their insurer). Reads the claim file, accident report, police report and witness statements; the LLM scores subrogation likelihood a

Continuous monitor of every Tier-1 supplier on your bill of materials. Tracks news (bankruptcy, M&A, plant fire, strike), shipping delays, sanctions exposure, and on-time delivery trend; surfaces a weekly risk-trend per

Forecast demand per SKU × location, surface supplier and geopolitical risk, compute MOQ-aware reorder points, pick the best supplier with PVSC consensus, draft purchase orders respecting volume breaks and payment terms,

Fourth and final step of the customer-support-onboarding journey. Reads the triage spec (intents, tone, languages, guardrails) + escalation matrix (SLA timers, severity ladder) and drafts the operator's first 30 days of

Third step of the customer-support-onboarding journey. Reads the triage spec from the prior step (intents, dispositions, guardrails, languages) and produces the operational escalation matrix the deployed agent will run b

First step of the customer-support-onboarding journey. The operator points at the existing documentation (Notion / Confluence / Drive folder / docs URL / pasted markdown) and Pulse: extracts every page, chunks each at 60

Second step of the customer-support-onboarding journey. Reads the knowledge map from the prior KB ingest step (sections, retrieval top-K, coverage gaps) and produces a complete triage-agent specification: which intents t

My support team gets the same 200 questions per week — most are in the docs, but customers don't read them. This pipeline answers them in the customer's own language, with citations from MY uploaded product documentation

Property-manager pipeline that ingests tenant maintenance requests via email (imap-source) or webhook (tenant-portal integration), classifies each by URGENCY (EMERGENCY / URGENT / ROUTINE / COSMETIC) and by TRADE (plumbi

FCRA- and Fair-Housing-aware rental application screening: identity verification, credit check, eviction history, income verification, risk scoring with PVSC consensus, and an adverse-action workflow that respects federa

Daily scan of public-tender portals (TED for EU, FedConnect / SAM.gov for US, Contracts Finder for UK, BOAMP for FR, plus 30+ regional portals) for tenders matching your capability profile. The LLM scores fit, identifies

Continuous monitor of every critical third-party ICT provider on your DORA / NIS2 register: scrapes the vendor's status page, security advisories, SSL/TLS posture, breach notifications, and SOC2 attestation expiry; cross

Turn a campaign brief into a launched (and paused, awaiting your sign-off) TikTok ad in minutes — including the 15-second video creative. A webhook receives the brief, a rule-based Brief Validator gates under-funded / va

AI-powered market intelligence. Aggregates news, detects patterns, validates signals with risk management and PVSC consensus.

A 24/7 trading mentor that walks any student — from total beginner to PhD-level quant researcher — through building, backtesting, and live-deploying a real trading strategy via voice. Mandatory checkpoint quizzes every 9

Enterprise localization with machine translation, translation-memory reuse, glossary enforcement, LLM post-edit under PVSC terminology consistency, automated QA (placeholders, length, punctuation, RTL markers), MQM-style

AI-powered travel agency that searches multiple flight APIs, aggregates offers, identifies deals and books flights with PVSC validation.

Scheduled daily: Perplexity + SerpAPI + Tavily scan for what's actually spiking in the creator's niche RIGHT NOW (last 48h — anything older is too late). An LLM cross-references the trending topics against the creator's

Real-time (30-second polling) scan of options activity across the tracked universe. Flags trades where volume exceeds 3x the strike's open interest, block trades > $500k premium, sweep orders crossing multiple exchanges,

Drop a video URL (YouTube unlisted, Vimeo, S3) after you finish the edit. The pipeline transcribes with Whisper, identifies chapter points, and an LLM generates the full publish bundle: YouTube title (CTR-optimised, vari

Input: a long-form piece — a video, blog draft, podcast episode, LinkedIn essay. The crafter generates 50 opening-hook variants (the first 7 seconds that decide whether someone keeps watching / reading / scrolling) acros

Input: a long piece (blog post URL, essay, video transcript). The factory breaks it into a 10-15 tweet X thread or a 1-slide-per-beat LinkedIn carousel, following the viral thread conventions proven on each platform: the

Customers call your dedicated number; Pulse answers in the voice / language / tone you configure, retrieves answers from your product knowledge base, and either resolves the call or escalates to a human. Whisper transcri

Record a rambling voice note — walk, drive, think out loud for 10-30 minutes. Whisper transcribes, an LLM restructures the stream-of-consciousness into a clean blog article preserving YOUR voice (sentence length, vocabul

Record a quick voice note (Twilio, WhatsApp, iOS shortcut, anything that POSTs an audio URL). Whisper transcribes it, an LLM extracts tasks with owners + due dates, and the tasks land as issues in Linear / Notion / Asana

Weekly aggregation of every customer signal from the last 7 days — Zendesk tickets, Intercom conversations, Shopify / Trustpilot / G2 reviews, NPS survey responses. An LLM clusters the raw text into themes (bugs, feature

Prospects call your dedicated number; the agent qualifies them BANT-style, handles objections from a curated rebuttal library, and either closes with a Stripe payment link delivered by voice readback AND SMS, or escalate

Callers reach a professional voice secretary in your boss's name. The agent screens callers, books appointments around the boss's actual calendar (not random slots), takes structured messages into Notion, and proactively

Your phone number rings, the agent answers in your voice, classifies the caller's intent (book a meeting / reschedule / cancel / leave a message / quick question), and either books a meeting against your real Google Cale

Compliance-grade wallet forensics for AML / FATF Travel Rule reviews: traces every counterparty 3 hops back, classifies addresses (CEX deposit, mixer, sanctioned, OFAC-listed, dark-market) using known taxonomy lists, com

Cross-references National Weather Service / EuMetNet warnings against your operational footprint (warehouses, plants, retail outlets, fleet routes, customer base) and computes the expected revenue / supply / logistics im

One-click research agent. Takes a question, searches the live web with Tavily, pulls clean article bodies with Firecrawl, and synthesises a cited answer with your LLM. The #1 primitive combo for up-to-date Q&A — no train

Weekly sales-leadership pipeline that rolls up the CRM forecast (Committed / Best-Case / Pipeline by rep and region), computes week-over-week deltas (deals added / slipped / closed-won / closed-lost), and asks an LLM to

Watches every protocol where you have LP / staked positions (Aave, Compound, Curve, Convex, Pendle, Morpho, …) and surfaces a daily rebalance recommendation when a pool's APY drops below the next-best alternative net of

Input: a video (finished or planned). Output: 10 thumbnail concepts × 10 title variants → 25 cross-matched pairs ranked by predicted CTR. The generator pulls the creator's best-performing past thumbnails from a vector st