Ask
A plain-language outcome. No step-by-step automation spec required.
Use cases gallery
Anton is not another place to write prompts. It is the open-source AI coworker you give outcomes to: reports, dashboards, cleaned files, research packs, digests, spreadsheets, and workflows.
How to read the gallery
A plain-language outcome. No step-by-step automation spec required.
Plans the work, uses tools and data, writes code, and keeps state in a scratchpad.
A finished output you can review, share, rerun, or keep building on.
Featured handoffs
The best Anton use cases are concrete, repetitive, cross-tool, and output-driven. They end with something useful in your hands.
Ask Anton to scan Slack, email, calendar, tickets, and docs before your first meeting.
Ask Anton to query data, clean tables, explain movement, and publish a dashboard.
Ask Anton to combine calls, tickets, CRM notes, and product issues into one view.
Ask Anton to compare documents against rules, extract exceptions, and prepare review notes.
Gallery
Skim the cards. Pick a handoff. Give Anton the outcome and let it work through the sources, tools, files, and steps.
Ops and admin
Anton works best when the job touches many small sources and ends with one clean artifact.
Ask: Tell me what changed overnight and what needs my attention.
Ask: Sort my inbox, draft replies, and flag what needs a real decision.
Ask: Turn these notes and transcript into owners, deadlines, and updates.
Ask: Organize this messy folder without losing anything important.
Ask: Pull the week's updates and create the weekly operating report.
Ask: Build the agenda, logistics, contacts, and prep notes in one place.
Data and analytics
Anton can plan analyses, generate SQL and Python, persist intermediate tables, and return explainable outputs.
Ask: Build a current KPI dashboard and explain the biggest changes.
Ask: Why did revenue move last week? Show the drivers.
Ask: Compare activation and retention by signup cohort.
Ask: Reconstruct what happened from logs, tickets, and customer notes.
Ask: Forecast next month and flag anything unusual in the history.
Ask: Check this dataset for missing values, duplicates, and broken joins.
Sales and GTM
Give Anton sales notes, CRM data, calls, tickets, and campaign exports. It returns the work the team can use.
Ask: Prepare me for this account call using CRM, news, and past notes.
Ask: Find stale opportunities and draft next steps by owner.
Ask: Summarize calls into objections, use cases, and product asks.
Ask: Analyze campaign exports and tell me what to keep, stop, and test.
Ask: Combine usage, tickets, and notes to flag accounts at risk.
Ask: Track competitor changes and explain what matters for sales.
Product and engineering
Anton can help teams summarize feedback, inspect repos, draft docs, and keep release work moving.
Ask: Turn feedback from calls, tickets, and Slack into roadmap evidence.
Ask: Group incoming bugs, find duplicates, and propose priorities.
Ask: Read merged PRs and write customer-facing release notes.
Ask: Explain this repo and create a first-week onboarding guide.
Ask: Review this PR for risky changes, missing tests, and docs gaps.
Ask: Analyze the experiment results and prepare the decision memo.
Finance, legal, people
Anton is useful when the work needs extraction, comparison, exception finding, and a clear audit trail.
Ask: Extract these receipts and build a categorized expense workbook.
Ask: Compare invoices to contracts, work orders, and approved rates.
Ask: Explain budget vs. actuals and draft the finance update.
Ask: Review these contracts for non-standard terms and risky clauses.
Ask: Gather evidence for this control and prepare an audit-ready packet.
Ask: Summarize interview notes into strengths, concerns, and decision points.
Research and content
Anton can research, organize, draft, format, and package outputs without forcing you to move text between tools.
Ask: Size this market and produce the assumptions, sources, and model.
Ask: Read these sources and tell me the answer with citations and caveats.
Ask: Turn this webinar into blog, social, email, and sales snippets.
Ask: Compare docs to the latest release and update what changed.
Ask: Compare vendors by price, features, risk, and fit for our needs.
Ask: Rewrite these assets so they sound clear, direct, and consistent.
How Anton gets it done
The inputs change. The workflow stays simple: connect sources, choose the model, execute in a scratchpad, keep useful memory, and return a finished output.
Anton can work across files, apps, databases, docs, messaging tools, and the browser.
Plans, SQL, Python, intermediate tables, charts, and outputs stay inspectable and reusable.
Anton learns preferences, definitions, project rules, and datasource context over time.
Run locally, self-host, or use Minds Hub when you want hosted convenience.
Get started
Pick one use case from the gallery. Describe the finished output. Let Anton do the rest.