Site index
Every page on this site, in one flat list — 230 in total. Built for people who would rather scan than search, and for crawlers that would rather not guess.
Use cases 72AI workers 18Alternatives 16Comparisons 16Replace your stack 18Cost 16Cloud agents 14Integrations 14Solutions 12Glossary 24
Use cases
What Polaris does for each function in a company — product, engineering, marketing, finance, HR, sales, support, ops, legal and data.
What an AI worker actually does, department by department →
- Product management with an AI worker on the roster
- The engineering work that is not writing code
- Design work an AI teammate can take, and the part it cannot
- One analyst, thirty requests, and an AI worker in between
- Your roadmap document and your tracker disagree
- Sixty requests, and no idea how many people asked
- Twelve interviews recorded, two of them read
- You shipped twenty-three things and announced four
- A competitor changed their pricing and you found out in a sales call
- The two hours before planning that nobody schedules
- Forty new issues on Monday, half of them the same bug
- Six open pull requests and nobody knows whose turn it is
- The incident ended and the writeup never started
- The README describes a version of the code that no longer exists
- Twenty minutes of every design review goes on finding the file
- The component was renamed and the documentation was not
- Eight sessions recorded, and the same hesitation in six of them
- Is this final? Asked for the fourth time this month
- Four versions of the logo are live and nobody signed off on three
- Can you pull the numbers, sent as a direct message at 6pm
- The null rate tripled in March and the board slide was already wrong
- The Monday metrics email that somebody writes on Sunday night
- Three teams, three definitions of active user, one meeting
- Thirty requests in the backlog and one analyst
- Marketing work, with AI teammates on the same board
- A content calendar that maintains itself between meetings
- SEO content production, briefed once and delivered as a file
- Campaign planning where the plan becomes owned tasks
- Competitor monitoring that actually happens every week
- A week of social posts drafted before you open the app
- Sales work, with the admin handed to an AI teammate
- A pipeline review that is assembled before the meeting
- Proposals drafted from your call notes, not from a template
- Account briefs waiting for you before the first call
- CRM cleanup as a standing job instead of a quarterly panic
- Battle cards that are still true this quarter
- Support work, with an AI teammate on the queue
- Ticket triage that hands you a sorted queue and drafted replies
- Help articles that keep up with the product
- Escalations that do not go quiet after the handoff
- Customer feedback that reaches product as evidence
- A template library that stays in your team's voice
- Running the company with an AI teammate on the reporting
- The weekly review, written before the meeting starts
- Board packs where the assembly is not your weekend
- OKRs that stay visible after the offsite
- Research memos waiting for you in the morning
- Every commitment from the meeting, owned and dated
- Finance work with an AI worker on the roster
- Invoice tracking that produces a chase list, not a dashboard
- Expense categorization that escalates instead of guessing
- A monthly close that stops drifting into week two
- Budget reports written for the people who did the spending
- Vendor management that catches the notice window
- HR work an AI worker can prepare, and where it must stop
- Application summaries, not candidate scores
- Onboarding that is finished before the first Monday
- Interview scheduling, including the reschedules
- Policy documents that stay current and show their changes
- Review cycles that finish, without a worker forming an opinion
- Legal operations work an AI worker can carry
- Knowing where every contract is, without asking three people
- Compliance checklists with evidence attached and gaps named
- Knowing that a source changed, on the week it changed
- A register of what you actually signed
- Watching the open web for uses of your mark
- Operations work with an AI worker doing the chasing
- Getting a process out of one person's head
- Procurement comparisons built from quotes, not from vendor websites
- Stock alerts that arrive before you are out
- Finding where the SOP and the real procedure came apart
- Dependencies as dated items, not as things people said in a meeting
AI workers
The roles you can hire as an AI teammate, what each one is briefed to do, and the tools each one needs.
AI workers you can hire, brief and assign →
- Hire an AI research analyst
- Hire an AI support specialist
- Hire an AI content writer
- Hire an AI bookkeeper
- Hire an AI recruiter
- Hire an AI SDR
- Hire an AI QA engineer
- Hire an AI data analyst
- Hire an AI social media manager
- Hire an AI executive assistant
- Hire an AI project coordinator
- Hire an AI SEO specialist
- Hire an AI technical writer
- Hire an AI competitive analyst
- Hire an AI customer success manager
- Hire an AI paralegal
- Hire an AI financial analyst
- Hire an AI ops coordinator
Alternatives
Honest comparisons with the tools Polaris replaces, including what each one still does better.
Alternatives to the work tools you pay for by the seat →
- A Notion alternative for teams tired of maintaining the database
- A Jira alternative that does some of the work, not just the tracking
- A Trello alternative for teams who outgrew ten boards
- A Linear alternative for the work Linear was never meant to hold
- A Slack alternative where the message becomes a task, not scrollback
- An Asana alternative for teams pushed off the free plan
- A ClickUp alternative where AI is not a second subscription
- A monday.com alternative that is one product, not a product line
- A Basecamp alternative for teams who already refused per-seat pricing
- A Confluence alternative for documentation that maintains itself
- A Todoist alternative for the point where a list becomes a team
- An Airtable alternative for teams billed per editor
- A Height alternative, and the difference between two kinds of autonomy
- A Shortcut alternative for teams who just crossed the free seat limit
- A Wrike alternative for teams buying seats in blocks
- A Coda alternative for teams caught by the Superhuman rebrand
Comparisons
Head-to-head breakdowns of the tools teams choose between, with Polaris as the third option.
Head-to-head comparisons of the tools teams choose between →
Replace your stack
What it takes to move off a specific combination of tools, and what you keep or lose in the move.
Replacing the stack you already pay for →
- Replacing Notion and Jira
- Replacing Notion and Slack
- Replacing Jira and Slack
- Replacing Linear and Notion
- Replacing Linear and Slack
- Replacing Trello and Slack
- Replacing Asana and Slack
- Replacing Confluence and Jira
- Replacing Notion, Linear and Slack
- Replacing Notion, Jira and Slack
- Replacing ClickUp and Slack
- Replacing Monday.com and Slack
- Replacing Notion and Trello
- Replacing Airtable and Slack
- Replacing Confluence and Notion
- Replacing Jira, Confluence and Slack
- Replacing Linear, Notion and GitHub
- Replacing Asana and Notion
Cost
What your current stack actually costs per year, and how usage-metered pricing compares at your team size.
What your work stack actually costs →
- Notion pricing, checked August 2026
- Jira pricing, checked August 2026
- Linear pricing, checked August 2026
- Slack pricing, checked August 2026
- Asana pricing, checked August 2026
- ClickUp pricing, checked August 2026
- monday.com pricing, checked August 2026
- Confluence pricing, checked August 2026
- Trello pricing, checked August 2026
- Tool stack cost for a 5-person team
- Tool stack cost for a 10-person team
- Tool stack cost for a 25-person team
- Tool stack cost for a 50-person team
- Per-seat pricing and usage pricing charge for different things
- The cost of AI subscriptions for a team
- What an AI worker costs, and how the hours are counted
Cloud agents
Running coding and research agents on cloud machines that keep working after you close your laptop.
Cloud agents that keep working after you close the laptop →
- Running an AI agent in the cloud instead of on your laptop
- What keeps running after you close the lid
- Turning a single-player agent into a team member
- Sharing the agent, not the transcript
- Queueing work at night and reading it in the morning
- Running your AI workers from a phone
- Cloud agents versus local agents
- Assigning a task to an AI worker
- The audit trail behind every agent session
- Skill files, and why a worker's capability should be readable
- How an AI worker gets tool access
- How long an agent session can run, and what happens when it ends
- When the deliverable is a file
- Agents deliver, humans close
Integrations
Every tool an AI worker can be given access to, and exactly what it can do with each one.
Every tool a Polaris worker can be given →
- Connect Slack to Polaris
- Connect Notion to Polaris
- Connect Linear to Polaris
- Connect GitHub to Polaris
- Connect Gmail to Polaris
- Connect Google Calendar to Polaris
- Connect Google Drive to Polaris
- Connect Figma to Polaris
- Connect HubSpot to Polaris
- Connect Stripe to Polaris
- Connect Supabase to Polaris
- Connect WhatsApp to Polaris
- Connect Instagram to Polaris
- Web search in Polaris
Solutions
How Polaris fits particular kinds of teams — startups, agencies, remote teams, solo founders.
Glossary
Plain definitions for the vocabulary of agentic work, written to be quoted.
The vocabulary of agentic work →
- AI worker
- Agentic project management
- AI teammate
- Cloud development environment
- Headless agent
- Skill file
- Model Context Protocol (MCP)
- Agent orchestration
- Human-in-the-loop
- Acceptance criteria
- Work log
- Human-equivalent hours
- Usage-based pricing
- Per-seat pricing
- Tool sprawl
- All-in-one workspace
- Task queue
- Agent runtime
- Autonomous agent
- Delivery comment
- Workstream
- Focus lane
- Passwordless authentication
- Generative engine optimization