Ottic
Ottic · Coding
Ottic is an AI agent workspace that researches, runs code, browses the web, and files finished reports across the tools you already connect, with scheduled routines and reusable skills.
About Ottic
What Is Ottic
Ottic is a general purpose AI agent that runs in the cloud. You describe a goal in plain language, and it plans the work, reads your connected data, pulls live pages from the web, crunches numbers in a sandbox, and hands back a finished file. The promise is a deliverable, not a paragraph of advice.
The gap it fills is the last mile. Chatbots stop at suggestions, so you still copy text into a doc, run the query, and chase the numbers yourself. Ottic sits in a workspace with a real terminal and a real browser behind it, so it can open a competitor page, scrape the pricing table, query your database, and build the comparison in one session. Analytics, SEO, reporting, and competitive research are the workloads people bring most. Nothing in the product limits it to marketing work.
Two limits matter before you commit. Ottic does not quietly learn your preferences in the background, so the quality of repeat work depends on you saving good Skills. Team features are also handled by hand today: shared connectors, shared Routines, and role rules are set up through a conversation with the company rather than a self-serve panel.
Getting Started
- Sign up at ottic.ai with an email address. There is no credit card step, and the workspace opens in a few minutes.
- Connect one or two tools you already use daily, such as Google Analytics, Search Console, Gmail, or Slack. Read-only access is enough for a first test.
- Ask for a small, well-defined task rather than a broad one. Name the target, the data source, and the output you expect, for example a weekly traffic summary from Search Console with the five biggest drops.
- Watch the run in the chat. The activity stream shows each tool call and the reasoning behind it, and the finished report appears as an artifact card.
- Save the prompt as a Skill if the result was right, then schedule it as a Routine so the same report lands every Monday without a reminder.
Product Information
A quick look at Ottic's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Founders and operators at small companies
- Growth and SEO teams
- Analysts and ops staff
- Agencies and consultants
Tasks
- Recurring performance reports
- Competitive research
- Data pulls and reconciliation
- Content and outreach briefs
Scenarios
- Monday morning reporting
- Pre-meeting research
- Monthly SEO audit
Key features
Cloud sandbox with a real terminal and browser
Every task runs in an isolated cloud environment with Python, a shell, and a Playwright browser. That combination is why the agent can scrape a live page, run a calculation on the result, and write the output to a file in one pass. You are not limited to what a chat window can say.
Connectors across the tools you already pay for
Google Analytics 4, Search Console, Drive, Docs, Sheets, and Gmail are covered, along with Slack, Notion, HubSpot, Figma, and Semrush. Databases work too: PostgreSQL, MongoDB, and MySQL can be attached in read-only mode. Setup is light for AI connectors, since most run through OAuth or a bearer token, and a custom REST endpoint covers anything missing from the catalog.
Skills as reusable playbooks
When a prompt produces the exact report you wanted, you save it as a Skill. The Skill keeps the structure, the data sources, and the format, so the next run does not depend on remembering the magic wording. Skills can be launched from a page, dropped into chat, scheduled as a Routine, or imported as a zip package.
Routines that run on a schedule
A Routine turns a working prompt into a recurring job, with a weekly report and a daily export as the common cases. Each one carries a trust dial with three settings: read-only, approval required, or autonomous. Most teams start at approval required and promote a Routine once the output has proven itself, and every run is logged with its status and result.
Artifacts you can open, download, or share
Outputs arrive as files rather than chat text. Ottic produces HTML reports and dashboards, CSV exports, Markdown briefs, and DOCX documents ready to hand off. Publishing an artifact creates a signed link that anyone can open without a login, marked NOINDEX so it stays out of search results.
A shared workspace for teams
Skills, connectors, and Routines can be shared at the team level, so a report format written by one person works for everyone. Central billing and role-based access sit on top. This is where AI automation for teams becomes real, and it is also the part still handled by hand during onboarding.
Pros and cons
Pros
- The agent executes rather than advises, with code, browser, and file access in the same run.
- Connector coverage goes past the usual SaaS list to databases and custom REST endpoints.
- Skills turn a lucky prompt into a repeatable process that survives staff changes.
- The trust dial and full run history make it reasonable to let a Routine act on its own later.
- Artifacts come out in formats people actually forward, including DOCX and CSV.
Cons
- Nothing is learned silently, so a new workspace stays generic until someone invests an afternoon in Skills.
- Team management is white-glove, which means a larger rollout waits on a sales call instead of a settings page.
- Published artifact links are open to anyone holding the URL, so sensitive reports need a policy before sharing.
- Paid tiers are not published on the site, and you cannot estimate a monthly bill without talking to the company.
Frequently asked questions
It completes work end to end. You describe an outcome, and the agent plans the steps, calls your connected tools, browses live sites, runs code in a sandbox, and returns a finished report or export. Think of an AI research agent with a terminal, not a chat window with an opinion.
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