Teams

CloudyBot for teams

Small teams move fast but still need the work that large teams have departments for — competitive intelligence, client reporting, content production, sales research, ops monitoring. CloudyBot lets your team build custom AI specialists that handle this work automatically, on a schedule, delivering results to wherever your team already works — Slack, Notion, Google Sheets, WhatsApp, or your dashboard. Nobody has to start it. Nobody has to check it. It just runs.

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The team problem CloudyBot solves

Every small team has work that is important but nobody owns properly. The weekly competitive brief that gets done when someone remembers. The client report that takes three hours every Friday afternoon. The sales lead enrichment that piles up because everyone is busy with actual selling. The content calendar that gets rushed every Monday morning.

This work does not require a new hire. It requires a reliable worker who shows up every day, knows exactly what to do, and delivers without needing to be managed. That is what CloudyBot specialists are — custom AI workers your team designs, deployed in minutes, running automatically on a schedule.

The Workflow Architect builds them. Your team describes the role in plain English. No code. No configuration. No technical skills required from anyone on the team.

Real specialists teams build with CloudyBot

The Team Intelligence Briefer

Every Monday before your team's standup, this specialist has already browsed your top five competitor websites, checked their recent blog posts and job listings, scanned industry news from the past week, and compiled a tight brief that lands in your team Slack channel. Not a dump of raw information — a structured summary written for your team: what changed, what matters, what each team member should know before their first call. Your team starts every week informed without anyone spending Monday morning on research.

The Client Reporting Specialist

Your account managers spend hours every week writing client updates. Pulling data, summarising progress, formatting reports, chasing information from other team members. This specialist pulls data from your shared workspace files, checks the metrics defined for each client, and produces a structured client update draft for each account — in the right format, in the right voice, ready for review. Account managers spend 10 minutes reviewing and personalising instead of two hours writing from scratch. Client updates go out on time, every time.

The Sales Intelligence Pipeline

Your sales team has a list of target accounts. Before any outreach, they need to know the company, the key people, recent news, the tech stack signals from job listings, what problems the company is publicly trying to solve. Doing this manually takes 20-30 minutes per account — time your salespeople spend researching instead of selling.

This pipeline runs overnight. Drop a list of target accounts into a shared folder. By morning, the workspace has a research brief on each one — company overview, key contacts, recent news, pain point signals, suggested opening angles. Your sales team walks into every call prepared without spending their morning on research. The pipeline hands work from a research specialist to an enrichment specialist to a formatting specialist — each step automatic, each handoff clean.

The Content Production Team

A team of specialists that works like a mini content department — a researcher, a writer, and a scheduler working in sequence. The researcher browses trending topics in your niche every Sunday, checks competitor content from the week, and identifies the gaps and angles worth covering. The writer takes the research and drafts the week's social posts, email newsletter, and one blog outline. The scheduler organises it all into a structured content calendar saved to your shared workspace and posted to your team Slack.

Monday morning your content team has a week of work ready to review. No blank page. No "what should we post this week" conversation. Just edit, approve, and publish.

The Market Research Analyst

Your product team needs to know what customers are asking for. Your marketing team needs to know what language resonates. Your sales team needs to know what objections are coming up. This specialist reads customer reviews, forum threads, support tickets, and social comments across your market every month and delivers a structured research brief: what customers praise most, what they complain about most, what they ask before buying, what language they use to describe their problems. Real customer voice, extracted automatically, delivered to your shared Notion workspace monthly.

The Partnership and Opportunity Scout

Potential partners are publishing content, attending events, announcing expansions. Acquisition targets are showing growth signals or distress signals. Investors in your space are making moves that signal where the market is heading. This specialist monitors the signals your leadership team cares about — company announcements, funding news, hiring patterns, executive moves — and delivers a weekly intelligence brief directly to the people who need it, without requiring anyone to read industry news for hours.

The Ops and Metrics Monitor

Your team tracks metrics across multiple tools — CRM pipeline, marketing analytics, support volume, product usage. Getting a single view of how the business is performing requires pulling data from multiple places, which means it usually gets done in a Friday afternoon rush or not at all.

This specialist pulls data from your shared workspace files — exported CSVs, reports dropped into a folder — and produces a structured weekly operations summary every Friday at 4pm: pipeline health, key metric movements, anything that moved more than expected and needs attention Monday morning. It posts to your team Slack channel and saves a versioned copy to Notion. Your leadership team walks into Monday morning briefings already informed.

The Competitive Positioning Tracker

Your competitors are not static. Their messaging evolves. Their pricing changes. Their feature set grows. When a salesperson walks into a competitive deal without knowing what changed last month, they are unprepared for objections that could have been anticipated. This specialist keeps a living competitive intelligence document in your shared Notion workspace — updated automatically when anything meaningful changes on a competitor's site — so your sales team always has current positioning, not a six-month-old snapshot someone made when they first joined.

The Hiring Research Specialist

When your team is hiring, candidates need researching. LinkedIn profiles, company backgrounds for the ones coming from interesting places, portfolio work for creative roles, public writing or contributions for technical roles. This specialist processes a shortlist overnight — given a list of names and LinkedIn URLs, it researches each candidate and produces a one-page brief on each. Your hiring manager walks into every interview already knowing the interesting things to explore, not spending the first ten minutes on background they could have read in advance.

The Brand Mention and PR Monitor

When journalists write about your space, when analysts mention your category, when customers talk about you on Reddit or Twitter — your team wants to know. This specialist monitors brand mentions, industry coverage, and relevant community discussions daily and delivers a morning brief to whoever on your team owns PR and communications. You respond to coverage the day it appears. You spot negative mentions before they compound. You find journalist opportunities while they are still relevant.

How specialists work together in pipelines

The real compound value for teams is when specialists hand work to each other. One agent finishes its job and triggers the next one — automatically, through a shared workspace that keeps the chain moving.

A typical team pipeline might look like: the Intelligence Briefer runs at 6am and saves research to a shared file. The Content Specialist picks it up at 7am and drafts the week's posts. The Ops Monitor pulls everything together at 8am and posts a summary to Slack before standup at 9am. The entire morning intelligence workflow runs without anyone on the team starting it.

You describe each role to the Workflow Architect and it wires the pipeline together. The specialists share state through workspace files and know which status means "ready for me to process." The chain runs reliably every day because each step is defined, not improvised.

Where results get delivered

Results go wherever your team already works. Slack channels — a specific channel for competitive intelligence, another for sales research, another for ops updates. Notion pages and databases — reports appended to living documents that accumulate knowledge over time. Google Sheets — data delivered in structured format directly into your spreadsheets. WhatsApp group or individual messages for urgent alerts on paid plans. Push notifications for time-sensitive monitoring results. Your shared CloudyBot workspace files for anything the team needs to access and reference.

The specialist runs. The result arrives where it belongs. Nobody has to check a separate tool to see if it finished.

Billing that works for team budgets

Every CloudyBot account has its own hard-capped plan. AI Tasks and browser sessions have a published monthly limit. When you hit it, the service pauses — no surprise overages, no bill that requires explaining to finance. Plans run from free (30 tasks, no card) through Base ($9), Growth ($19), Pro ($39), and Agency ($79, 7,000 tasks).

For teams, each member needs their own account currently. Team billing with shared task pools and a single invoice is on the roadmap. For now, most teams use individual accounts for personal workflows and one shared account for team-wide specialists that everyone needs access to.

The hard cap model matters for teams specifically because AI spend is otherwise unpredictable at the team level. When multiple people are running agents and pipelines, metered pricing creates exposure that is hard to budget for. Hard caps give you a known maximum per account before the month starts.

Getting your team started

The fastest path: one person signs up, opens the Workflow Architect, and describes the first shared specialist your team needs. Usually this is the intelligence briefer — the thing that runs every morning and tells everyone what they need to know. Set it up, run it once, see what it delivers. If it is useful, the rest of the team will want their own.

Start free. No card required. Your first specialist running in under five minutes.

Build your team's first specialist free

No card · hard caps · delivers to Slack, Notion, WhatsApp · runs while you work

Frequently asked questions

How do multiple team members use CloudyBot together?

Each team member has their own account with their own workspace and specialists. Shared delivery destinations — a Slack channel, a Notion workspace, a Google Sheet — let specialists from different accounts deliver to the same place. Team billing with a shared task pool and single invoice is on the roadmap. Most teams currently use one shared account for team-wide specialists and individual accounts for personal workflows.

Can a specialist automatically update our Notion workspace?

Yes. The Notion Reporter specialist type connects to your Notion workspace via API key and appends research, reports, and structured data directly to pages and databases. Reports accumulate over time and build a living knowledge base that gets richer with every run.

Can we build a specialist that handles our specific industry or niche?

Yes — and this is exactly how CloudyBot is designed to be used. You describe your specific industry, your specific competitors, your specific metrics and concerns. The more specific the description, the more useful the specialist. A generic "monitor competitors" instruction produces generic output. A specific "monitor these five companies for these specific signals and flag only when X changes" produces genuinely useful intelligence.

How do we control what each specialist costs?

Each account has a published monthly task cap that you choose at sign-up. The model picker shows the task multiplier for each model before you commit. Tier-1 models (1×) cost far less than frontier models (15×). For monitoring and research tasks, tier-1 and tier-2 models handle the work well at a fraction of the cost. You set the model per specialist based on what the task requires.

Can specialists hand work to each other automatically?

Yes. Pipeline chains let one specialist trigger the next on completion. A research specialist finishes and triggers an analysis specialist, which triggers a reporting specialist, which posts to Slack. The Workflow Architect wires the chain together when you describe the full pipeline. Each specialist picks up the work where the previous one left off through shared state files.

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