Аффiliate-маркетологи
Агенты Neuro OS: SEO-skills в git, scoped CMS, Ask перед каждой публикацией и outreach.
Use cases
Кейсы клиентов Pattern Automation — как они ставят агентов на работу и что это даёт бизнесу. Больше кейсов →
Neuro OS для фаундеров, агентств и креаторов — агенты со шлюзами и Ask на каждую отправку.
Агенты Neuro OS: SEO-skills в git, scoped CMS, Ask перед каждой публикацией и outreach.
Per-client skills, scoped коннекторы, драфты отчётов и Ask на каждую отправку клиенту.
Контент, outbound и CS-циклы: CRM-scopes, enablement-skills, Ask на внешние отправки.
Маркетинг, support и ops: Stripe/CRM scopes, skills в git, Ask на каждый контакт с клиентом.
Маркетинг, enrollment и ops: calendar/email scopes, skills методологии, Ask перед сообщениями клиентам.
Research и deliverable-агенты: frameworks в git, doc-коннекторы, Ask на документы клиенту.
Repurposing, спонсorship и community: voice-skills, platform scopes, Ask перед постами и сделками.
Launch, enrollment и support: LMS scopes, curriculum-skills, Ask на сообщения студентам.
Technical content, pre-sales и delivery ops: GitHub/PM scopes, stack-skills, Ask на client sends.
Marketing, support и inventory: Shopify/ads scopes, brand-skills, Ask на refunds и бюджеты.
Pipeline, proposals и project ops: portfolio scopes, service-skills, Ask на каждую отправку клиенту.
Brand, acquisition и project ops: niche-skills, doc/CRM scopes, Ask на proposals и client updates.
Реальные циклы на Neuro OS — с human review на границе.
The GDPR-DSAR agent we run on Neuro OS — it verifies each incoming access or deletion request, locates the subject's data across our product database, compiles the report inside the SLA, and flags it for legal to review before anything goes out.
Pattern Automation implements governed AI agents for legal workflows via Neuro OS: handle GDPR data-subject requests on a deadline — it verifies each incoming access or deletion request, locates the subject's data across our product database, compiles the report inside the SLA, and flags it for legal to review before anything goes out.
The docs agent we run on Neuro OS — connected to GitHub and our codebase. Once a day it checks the code that landed since its last run and updates the docs those changes affected, opening a PR for review.
Pattern Automation implements AI automation for keep our docs in sync with the code — connected to GitHub and our codebase. Once a day it checks the code that landed since its last run and updates the docs those changes affected, opening a PR for review.
The QA agent we run on Neuro OS — connected to GitHub and our test environment. It checks out each PR, runs the suite, exercises the change, and posts the result.
Pattern Automation implements AI automation for QA every pull request automatically — connected to GitHub and our test environment. It checks out each PR, runs the suite, exercises the change, and posts the result.
A single agent reachable from Slack, with scoped access to our database, Stripe, Linear, and GitHub. Ask in a thread and it runs the task across whatever platforms it needs.
Pattern Automation implements AI automation for run operations from Slack — A single agent reachable from Slack, with scoped access to our database, Stripe, Linear, and GitHub. Ask in a thread and it runs the task across whatever platforms it needs.
The NDA agent we run on Neuro OS — every 15 minutes it reviews a new inbound NDA against our standard playbook, redlines the non-standard terms, and drafts a flag summary for counsel. It never signs or sends; counsel does.
Pattern Automation implements governed AI agents for legal workflows via Neuro OS: turn NDAs around in minutes, not days — every 15 minutes it reviews a new inbound NDA against our standard playbook, redlines the non-standard terms, and drafts a flag summary for counsel. It never signs or sends; counsel does.
The support agent we run on Neuro OS — connected to Plain, our codebase, and Stripe. It triages and resolves inbound threads, and stops for human approval on anything sensitive.
Pattern Automation implements AI automation for run customer support with an AI agent — connected to Plain, our codebase, and Stripe. It triages and resolves inbound threads, and stops for human approval on anything sensitive.
The HR-policy helpdesk agent we run on Neuro OS — connected to Gmail, our Notion policy library, and Slack. Every 15 minutes it reads new questions from the HR inbox, answers strictly from documented policy, and drafts a reply for HR to send — escalating anything ambiguous, legal, personal, or compensation-related.
Pattern Automation implements AI automation for answer HR policy questions automatically — connected to Gmail, our Notion policy library, and Slack. Every 15 minutes it reads new questions from the HR inbox, answers strictly from documented policy, and drafts a reply for HR to send — escalating anything ambiguous, legal, personal, or compensation-related.
The customer onboarding agent we run on Neuro OS — a daily cron that checks every new account against its onboarding milestones in Postgres, drafts a nudge email when one stalls, and alerts the owning CSM in Slack with the context to act.
Pattern Automation implements AI automation for drive new customers to activation — a daily cron that checks every new account against its onboarding milestones in Postgres, drafts a nudge email when one stalls, and alerts the owning CSM in Slack with the context to act.
When an incident resolves, an agent pulls the timeline from the incident channel, correlates deploys and log spikes, and drafts a structured postmortem as a doc PR for the team to review and edit.
Pattern Automation implements AI automation for draft incident postmortems — When an incident resolves, an agent pulls the timeline from the incident channel, correlates deploys and log spikes, and drafts a structured postmortem as a doc PR for the team to review and edit.
The interview-scheduling agent we run on Neuro OS — daily, it finds candidates ready to schedule in Greenhouse, checks interviewer availability on Google Calendar, and drafts a slot proposal and calendar invites for a coordinator to confirm.
Pattern Automation implements AI automation for coordinate interview loops — daily, it finds candidates ready to schedule in Greenhouse, checks interviewer availability on Google Calendar, and drafts a slot proposal and calendar invites for a coordinator to confirm.
The RFP-responder agent we run on Neuro OS — connected to the inbound RFP and our vetted answer library. It parses each question, drafts a response in a new Google Doc from the library and our product docs, and flags anything it can't answer confidently.
Pattern Automation implements AI automation for draft RFP responses — connected to the inbound RFP and our vetted answer library. It parses each question, drafts a response in a new Google Doc from the library and our product docs, and flags anything it can't answer confidently.
A new contract in a Drive folder triggers an agent to summarize it, flag non-standard clauses against our playbook, and post the summary to the legal channel, drafting redlines for a lawyer to sign off.
Pattern Automation implements governed AI agents for legal workflows via Neuro OS: do first-pass contract review — A new contract in a Drive folder triggers an agent to summarize it, flag non-standard clauses against our playbook, and post the summary to the legal channel, drafting redlines for a lawyer to sign off.
The vendor-onboarding agent we run on Neuro OS — connected to Gmail, Google Sheets, and Slack. Every day it checks new vendor requests for a completed W-9, banking form, and signed contract, records each vendor's status, and flags anything missing — never approving a vendor or touching payment setup itself.
Pattern Automation implements AI automation for onboard new vendors — connected to Gmail, Google Sheets, and Slack. Every day it checks new vendor requests for a completed W-9, banking form, and signed contract, records each vendor's status, and flags anything missing — never approving a vendor or touching payment setup itself.
The ad-performance agent we run on Neuro OS — connected to Google Ads and Meta Ads, with alerts in Slack. Every day it checks budget pacing, CPA and ROAS drift, and underperforming ads, then posts ranked findings — it never changes a budget, pauses a campaign, or edits an ad itself.
Pattern Automation implements AI automation for monitor ad performance — connected to Google Ads and Meta Ads, with alerts in Slack. Every day it checks budget pacing, CPA and ROAS drift, and underperforming ads, then posts ranked findings — it never changes a budget, pauses a campaign, or edits an ad itself.
The outbound-sourcing agent we run on Neuro OS — daily, it finds candidates on LinkedIn for each open role, checks Greenhouse so no one already in the pipeline gets a duplicate reach-out, and drafts a personalized email for the recruiter to review and send.
Pattern Automation implements AI automation for source candidates for open roles — daily, it finds candidates on LinkedIn for each open role, checks Greenhouse so no one already in the pipeline gets a duplicate reach-out, and drafts a personalized email for the recruiter to review and send.
The phishing-triage agent we run on Neuro OS — every 15 minutes it pulls newly reported emails, inspects headers, links, and attachments, and posts a risk verdict with a recommended action. It only recommends; a human decides whether to block a sender or warn staff.
Pattern Automation implements AI automation for triage reported phishing emails — every 15 minutes it pulls newly reported emails, inspects headers, links, and attachments, and posts a risk verdict with a recommended action. It only recommends; a human decides whether to block a sender or warn staff.
The accounts payable agent we run on Neuro OS — connected to Gmail, Google Sheets, and Slack. Every 15 minutes it pulls new invoices, extracts vendor, amount, and line items, matches them against POs and the ledger, and routes anything clean or flagged to Slack for approval — never scheduling a payment itself.
Pattern Automation implements enterprise AI agents for finance via Neuro OS: process vendor invoices as they land — connected to Gmail, Google Sheets, and Slack. Every 15 minutes it pulls new invoices, extracts vendor, amount, and line items, matches them against POs and the ledger, and routes anything clean or flagged to Slack for approval — never scheduling a payment itself.
A daily sweep checks resources against policy for public buckets, untagged resources, and over-broad roles, files findings, and proposes remediation as a reviewed change rather than applying it.
Pattern Automation implements AI automation for audit and compliance teams via Neuro OS: monitor for compliance drift — A daily sweep checks resources against policy for public buckets, untagged resources, and over-broad roles, files findings, and proposes remediation as a reviewed change rather than applying it.
On a schedule, an agent checks for newly marked departures and runs the offboarding checklist across Okta, Google Workspace, Drive, and GitHub — revoking access, transferring ownership, and reclaiming licenses — holding the ownership transfer for approval and never deleting an account.
Pattern Automation implements AI automation for offboard employees — revoking access, transferring ownership, and reclaiming licenses — holding the ownership transfer for approval and never deleting an account.
The finance agent we run on Neuro OS — connected to Stripe, the close checklist and revenue ledger in Google Sheets, and Slack. Each month it walks the checklist, reconciles revenue against the ledger, flags anomalies and missing docs, and posts the open items — never touching a journal entry or closing the books itself.
Pattern Automation implements enterprise AI agents for finance via Neuro OS: run our month-end close — connected to Stripe, the close checklist and revenue ledger in Google Sheets, and Slack. Each month it walks the checklist, reconciles revenue against the ledger, flags anomalies and missing docs, and posts the open items — never touching a journal entry or closing the books itself.
The renewal manager we run on Neuro OS — a daily cron that surfaces every account 90, 60, and 30 days from renewal, preps a packet on usage and value delivered, drafts outreach, and flags at-risk accounts for the owner to review.
Pattern Automation implements AI automation for get ahead of contract renewals — a daily cron that surfaces every account 90, 60, and 30 days from renewal, preps a packet on usage and value delivered, drafts outreach, and flags at-risk accounts for the owner to review.
A weekly cron reads new NPS/CSAT survey responses from a Google Sheet, clusters them into themes with sentiment and detractor drivers, and posts the score trend and representative quotes to Slack.
Pattern Automation implements AI automation for turn NPS responses into themes — A weekly cron reads new NPS/CSAT survey responses from a Google Sheet, clusters them into themes with sentiment and detractor drivers, and posts the score trend and representative quotes to Slack.
The QBR-prep agent we run on Neuro OS — connected to Postgres, HubSpot, Google Slides, and Google Docs. Weekly, for every account due a quarterly business review, it pulls usage trends, account health, support activity, and expansion signals into a draft deck and briefing doc for the CSM.
Pattern Automation implements AI automation for draft QBR decks for key accounts — connected to Postgres, HubSpot, Google Slides, and Google Docs. Weekly, for every account due a quarterly business review, it pulls usage trends, account health, support activity, and expansion signals into a draft deck and briefing doc for the CSM.
On a schedule, an agent gathers feedback from support, public reviews, and a Slack channel, clusters it into themes with representative quotes and counts, and creates or updates a Linear issue per theme.
Pattern Automation implements AI automation for turn feedback into a roadmap — On a schedule, an agent gathers feedback from support, public reviews, and a Slack channel, clusters it into themes with representative quotes and counts, and creates or updates a Linear issue per theme.
The reporting agent we run on Neuro OS — connected to our Postgres database and Slack. Every Monday it queries the metrics, writes the report with commentary on what moved, and posts it.
Pattern Automation implements AI automation for auto-generate the weekly metrics report — connected to our Postgres database and Slack. Every Monday it queries the metrics, writes the report with commentary on what moved, and posts it.
The win-loss agent we run on Neuro OS — a weekly cron reads every HubSpot deal closed-won or closed-lost since the last run and posts the patterns by segment, competitor, price, and stage of death to Slack.
Pattern Automation implements AI automation for analyze why deals are won and lost — a weekly cron reads every HubSpot deal closed-won or closed-lost since the last run and posts the patterns by segment, competitor, price, and stage of death to Slack.
A daily agent that checks competitor sites, changelogs, and pricing pages, diffs them against the last run, and posts a short summary of what changed to Slack.
Pattern Automation implements AI automation for monitor competitors — A daily agent that checks competitor sites, changelogs, and pricing pages, diffs them against the last run, and posts a short summary of what changed to Slack.
An hourly agent tracks every failed Stripe invoice on a per-subscription ledger, escalating from a smart retry through a payment reminder, an update-your-card notice, and a final notice, alerting the revenue team on Slack and stopping the moment the invoice is paid.
Pattern Automation implements enterprise AI agents for finance via Neuro OS: recover failed subscription payments — An hourly agent tracks every failed Stripe invoice on a per-subscription ledger, escalating from a smart retry through a payment reminder, an update-your-card notice, and a final notice, alerting the revenue team on Slack and stopping the moment the invoice is paid.
A daily agent that searches news, social platforms, and forums for new mentions of our brand, classifies sentiment, and posts a digest of the notable or negative ones to Slack — each with a suggested response drafted for a human to review.
Pattern Automation implements AI automation for monitor brand mentions — each with a suggested response drafted for a human to review.
An agent connected to our CRM, enrichment, and email that researches each lead, drafts a genuinely personalized sequence, logs it to the CRM, and holds every send behind human approval with a daily cap.
Pattern Automation implements AI automation for run personalized outbound — An agent connected to our CRM, enrichment, and email that researches each lead, drafts a genuinely personalized sequence, logs it to the CRM, and holds every send behind human approval with a daily cap.
The pipeline-hygiene agent we run on Neuro OS — it scans HubSpot every day for stale deals, missing next steps, deals stalled in a stage, and overdue tasks, nudges the owning rep in Slack, and escalates the worst offenders to their manager.
Pattern Automation implements AI automation for keep deals moving — it scans HubSpot every day for stale deals, missing next steps, deals stalled in a stage, and overdue tasks, nudges the owning rep in Slack, and escalates the worst offenders to their manager.
The release-notes agent we run on Neuro OS — connected to GitHub. On each release it reads the merged PRs since the last one, groups them, writes the notes, and opens a changelog PR.
Pattern Automation implements AI automation for generate release notes from merged PRs — connected to GitHub. On each release it reads the merged PRs since the last one, groups them, writes the notes, and opens a changelog PR.
The sales-forecast agent we run on Neuro OS — a weekly cron rolls up HubSpot's open pipeline into a weighted forecast vs quota by stage, rep, and segment, flags deals slipping the quarter, and posts it to Slack. Read-only — it never touches a deal's amount or close date.
Pattern Automation implements AI automation for roll the pipeline into a weekly forecast — a weekly cron rolls up HubSpot's open pipeline into a weighted forecast vs quota by stage, rep, and segment, flags deals slipping the quarter, and posts it to Slack. Read-only — it never touches a deal's amount or close date.
The pipeline-health agent we run on Neuro OS — connected to the warehouse and GitHub. Every hour it checks table freshness, row-count anomalies, and schema drift, alerts Slack, and drafts a GitHub issue with the likely cause. It never touches the data.
Pattern Automation implements AI automation for monitor our data pipelines and warehouse health — connected to the warehouse and GitHub. Every hour it checks table freshness, row-count anomalies, and schema drift, alerts Slack, and drafts a GitHub issue with the likely cause. It never touches the data.
A daily cron scores accounts on leading churn signals across product usage, support, and billing, then posts a ranked at-risk list to Slack with a reason and a suggested next step for each.
Pattern Automation implements AI automation for flag at-risk accounts — A daily cron scores accounts on leading churn signals across product usage, support, and billing, then posts a ranked at-risk list to Slack with a reason and a suggested next step for each.
The social-scheduler agent we run on Neuro OS — a daily agent that reads our Notion content calendar, drafts platform-appropriate posts for upcoming content, launches, and announcements, and holds them in Slack with the scheduled date for a human to approve and publish.
Pattern Automation implements AI automation for draft social posts from our content calendar — a daily agent that reads our Notion content calendar, drafts platform-appropriate posts for upcoming content, launches, and announcements, and holds them in Slack with the scheduled date for a human to approve and publish.
The content-refresh agent we run on Neuro OS — a weekly agent that finds decaying marketing and blog pages via Search Console, refreshes the copy, stats, and internal links, and opens a PR for review.
Pattern Automation implements AI automation for keep our content from going stale — a weekly agent that finds decaying marketing and blog pages via Search Console, refreshes the copy, stats, and internal links, and opens a PR for review.
The lead-routing agent we run on Neuro OS — every 15 minutes it scores each new HubSpot lead, assigns it to the right rep by territory, segment, or round-robin, and notifies the rep in Slack, flagging anything ambiguous for a human instead of guessing.
Pattern Automation implements AI automation for route inbound leads to the right rep — every 15 minutes it scores each new HubSpot lead, assigns it to the right rep by territory, segment, or round-robin, and notifies the rep in Slack, flagging anything ambiguous for a human instead of guessing.
The finance agent we run on Neuro OS — connected to Stripe, the bank feed, and Google Sheets. Each month it matches transactions against invoices, flags mismatches, and posts a summary, escalating anything it can't match.
Pattern Automation implements enterprise AI agents for finance via Neuro OS: reconcile expenses every month — connected to Stripe, the bank feed, and Google Sheets. Each month it matches transactions against invoices, flags mismatches, and posts a summary, escalating anything it can't match.
The SaaS spend audit agent we run on Neuro OS — reconciles recurring card and bank charges against our subscription register every week and flags duplicate tools, unused seats, price hikes, and shadow IT, recommending only — it never touches a subscription.
Pattern Automation implements enterprise AI agents for finance via Neuro OS: audit our SaaS spend for waste — reconciles recurring card and bank charges against our subscription register every week and flags duplicate tools, unused seats, price hikes, and shadow IT, recommending only — it never touches a subscription.
An agent we run on Neuro OS — connected to the inbound questionnaire and our knowledge base of vetted answers and policies. It parses each question, drafts responses in the vendor's format, and flags anything it can't answer confidently.
Pattern Automation implements AI automation for audit and compliance teams via Neuro OS: answer security questionnaires — connected to the inbound questionnaire and our knowledge base of vetted answers and policies. It parses each question, drafts responses in the vendor's format, and flags anything it can't answer confidently.
The ticket-to-KB agent we run on Neuro OS — clusters resolved support tickets for recurring questions with no matching help-center article, drafts the top gaps as real articles from the actual resolutions, and opens a PR for a human to review and publish.
Pattern Automation implements AI automation for turn resolved tickets into KB articles — clusters resolved support tickets for recurring questions with no matching help-center article, drafts the top gaps as real articles from the actual resolutions, and opens a PR for a human to review and publish.
An access request in Slack triggers an agent to check policy, gather context, and prepare a least-privilege grant, with every grant requiring a human approval and logged.
Pattern Automation implements AI automation for handle access requests — An access request in Slack triggers an agent to check policy, gather context, and prepare a least-privilege grant, with every grant requiring a human approval and logged.
The cloud-cost anomaly agent we run on Neuro OS — connected to AWS Cost Explorer and Slack. Every day it keeps a running spend baseline per service and account, flags whatever breaks out of that baseline, attributes the likely driver, and alerts with the delta. Read-only; it never touches a resource or a budget.
Pattern Automation implements AI automation for catch cloud cost spikes before the bill lands — connected to AWS Cost Explorer and Slack. Every day it keeps a running spend baseline per service and account, flags whatever breaks out of that baseline, attributes the likely driver, and alerts with the delta. Read-only; it never touches a resource or a budget.
The meeting agent we run on Neuro OS — connected to Google Calendar, the call transcript, and Linear. After each call it writes structured notes and files action items as tickets assigned to the right people.
Pattern Automation implements AI automation for turn meetings into notes and action items — connected to Google Calendar, the call transcript, and Linear. After each call it writes structured notes and files action items as tickets assigned to the right people.
The error-triage agent we run on Neuro OS — connected to Sentry and GitHub. Hourly, it groups new and spiking errors, dedupes against existing GitHub issues, and drafts an issue with the stack trace and impact for the top offenders, then alerts Slack. It never resolves, ignores, or assigns an error itself.
Pattern Automation implements AI automation for groom our production error backlog — connected to Sentry and GitHub. Hourly, it groups new and spiking errors, dedupes against existing GitHub issues, and drafts an issue with the stack trace and impact for the top offenders, then alerts Slack. It never resolves, ignores, or assigns an error itself.
The escalation-manager agent we run on Neuro OS — every 15 minutes it scans the queue for SLA breaches, VIP accounts, and high-severity tickets, routes each to the right team, opens a linked Linear issue when engineering is needed, and posts to our escalation Slack channel. It never closes a ticket or promises a resolution.
Pattern Automation implements AI automation for route support escalations — every 15 minutes it scans the queue for SLA breaches, VIP accounts, and high-severity tickets, routes each to the right team, opens a linked Linear issue when engineering is needed, and posts to our escalation Slack channel. It never closes a ticket or promises a resolution.
An agent connected to our applications inbox, the role's written rubric, and Google Calendar that scores each resume against the rubric with evidence and proposes interview slots for strong matches.
Pattern Automation implements AI automation for screen inbound applicants — An agent connected to our applications inbox, the role's written rubric, and Google Calendar that scores each resume against the rubric with evidence and proposes interview slots for strong matches.
The sales agent we run on Neuro OS — connected to HubSpot, email, and Google Calendar. It researches each new lead, drafts a personalized follow-up, and offers a call slot, with a human approving the send.
Pattern Automation implements AI automation for follow up with every inbound lead — connected to HubSpot, email, and Google Calendar. It researches each new lead, drafts a personalized follow-up, and offers a call slot, with a human approving the send.
The pull-request review agent we run on Neuro OS — it flags PRs stuck past a review SLA, gone stale, or sitting on unaddressed change requests, then nudges the author or reviewer in Slack with exactly what's blocking.
Pattern Automation implements AI automation for keep code review from stalling — it flags PRs stuck past a review SLA, gone stale, or sitting on unaddressed change requests, then nudges the author or reviewer in Slack with exactly what's blocking.
A new-hire record triggers an agent to provision accounts, add the person to the right groups and channels, and file a first-week checklist, with account creation and group membership held for approval.
Pattern Automation implements AI automation for onboard new hires — A new-hire record triggers an agent to provision accounts, add the person to the right groups and channels, and file a first-week checklist, with account creation and group membership held for approval.
The flag-cleanup agent we run on Neuro OS — a weekly sweep that finds feature flags that are fully rolled out or long dead, deletes the flag and the dead code branch it guards, and opens a PR for a human to merge.
Pattern Automation implements AI automation for remove stale feature flags — a weekly sweep that finds feature flags that are fully rolled out or long dead, deletes the flag and the dead code branch it guards, and opens a PR for a human to merge.
The inbox agent we run on Neuro OS — connected to Gmail, a help doc, and Linear. It labels every inbound email, drafts a reply, or files a task, and stops for approval before anything goes to a customer.
Pattern Automation implements AI automation for triage a shared inbox with an AI agent — connected to Gmail, a help doc, and Linear. It labels every inbound email, drafts a reply, or files a task, and stops for approval before anything goes to a customer.
A monthly agent we run on Neuro OS — connected to Postgres, Stripe, and last month's update. It pulls the core metrics, compares them to last month and to plan, and drafts the update in our format for a founder to finalize.
Pattern Automation implements enterprise AI agents for finance via Neuro OS: draft our monthly investor update — connected to Postgres, Stripe, and last month's update. It pulls the core metrics, compares them to last month and to plan, and drafts the update in our format for a founder to finalize.
The triage agent we run on Neuro OS — connected to Sentry, our logs, and GitHub. It works up a first-pass diagnosis on every alert and only pages a human when it can't resolve it.
Pattern Automation implements AI automation for triage on-call alerts before paging a human — connected to Sentry, our logs, and GitHub. It works up a first-pass diagnosis on every alert and only pages a human when it can't resolve it.
An agent connected to our call transcripts, HubSpot, and Linear that drafts the recap, updates the deal, and files the follow-up tasks, then holds the email for the rep to send.
Pattern Automation implements AI automation for follow up after sales calls — An agent connected to our call transcripts, HubSpot, and Linear that drafts the recap, updates the deal, and files the follow-up tasks, then holds the email for the rep to send.
The flaky-test agent we run on Neuro OS — connected to GitHub CI history and Slack. It scores every test's non-determinism, opens a quarantine PR for the worst offenders, and files a tracking issue for a human to review.
Pattern Automation implements AI automation for detect and quarantine flaky tests — connected to GitHub CI history and Slack. It scores every test's non-determinism, opens a quarantine PR for the worst offenders, and files a tracking issue for a human to review.
A nightly agent that dedupes contacts in HubSpot, fills missing fields from enrichment data, flags stale deals, and posts a data-quality summary — with bulk updates held for approval.
Pattern Automation implements AI automation for keep our CRM clean — with bulk updates held for approval.
An accounts-receivable agent we run on Neuro OS — connected to Stripe, email, and the accounting ledger. It finds overdue invoices, sends the right reminder, logs every touch, and reconciles when payment lands.
Pattern Automation implements enterprise AI agents for finance via Neuro OS: chase down overdue invoices — connected to Stripe, email, and the accounting ledger. It finds overdue invoices, sends the right reminder, logs every touch, and reconciles when payment lands.
The upgrade agent we run on Neuro OS — a weekly cron that opens dependency PRs, runs the full suite in a sandbox, and only opens the PR when it's green.
Pattern Automation implements AI automation for keep dependencies up to date — a weekly cron that opens dependency PRs, runs the full suite in a sandbox, and only opens the PR when it's green.
People request snacks through a Slack shortcut, and an agent batches the requests weekly, prepares an order, and posts it for the office manager to approve before placing anything.
Pattern Automation implements AI automation for keep the office stocked — People request snacks through a Slack shortcut, and an agent batches the requests weekly, prepares an order, and posts it for the office manager to approve before placing anything.
A daily agent that collects each person's Linear and GitHub activity, prompts anyone with nothing recorded, and posts a concise team standup to Slack. Read-only across every tool.
Pattern Automation implements AI automation for run async standups in Slack — A daily agent that collects each person's Linear and GitHub activity, prompts anyone with nothing recorded, and posts a concise team standup to Slack. Read-only across every tool.
В этой команде пока нет loops.
Loop engineering
Workforce агентов по расписанию, с настоящими deliverables и одним reviewed change за раз. Любая модель, ваши ключи, облако или своя сеть.