OneRange

Grok Bot for Developers: Advanced — Shared Bots for Engineering

Run Shared Bots (formerly called Team Bots) that an engineering org relies on: pick the right jobs, decide between owner-added apps and each person's own accounts, know where each conversation's work runs, and manage team memory, Bot settings and Collaborator and Manager roles. Add Auto-review rules for git, deploys and production dashboards, isolate sensitive workloads, and keep action logs you can audit.

What this course covers

The course runs across 8 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Shared Bots: pick the right jobs — metrics answers, alert triage, docs upkeep — Shared Bots (formerly called Team Bots) suit shared, repeated questions and upkeep: metrics from the data warehouse, triaging alerts in a Slack channel, keeping docs current as PRs ship, an internal helpdesk. Reject jobs that need one person's private access or unsupervised production changes.
  • Shared Bots: owner-added apps vs. personal connectors, and whose account each uses — Apps and secrets the owner adds in Bot settings work the same for everyone; a connected account always acts as the person the Bot is answering. Before using your personal account the Bot asks: Allow once, Always allow (for your messages to this Bot, or to every Shared Bot) or Skip; clear these in Settings → General → Shared Bots → Clear connector preferences.
  • Shared Bots: where the work runs — personal computers vs. the Slack channel computer — Your own chat usually runs on your own Grok Bot computer and a Slack DM on yours; Slack channels, threads and group DMs share one computer that belongs to the Bot. Bring it to Slack (Bring to your team's Slack → Connect, with Slack admin approval if needed) and keep anything the channel shouldn't see out of threads.
  • Auto-review rules for git, deploys and production dashboards — Write narrow Ask first and Allow automatically rules in Settings → General (under Bot) with Add Rule; Ask first wins. Keep pushes to main, deploys and production dashboard changes behind approval, and remember that in a Slack thread only the person who asked can answer an approval card, and where nobody can answer one a Shared Bot works within its setup without Auto-review unless your team turns on Enforce Auto-review (Enterprise only).
  • Isolating sensitive workloads with a separate user — All of one user's Bots share one cloud computer, logins and CLI credentials, so a separate Bot is not a security boundary. Different users get dedicated, hardware-isolated computers; run sensitive workloads under a separate user with only the access they need.
  • Shared Bots: team memory vs. what stays with each person, and Managers — The Bot can save what it learns for the whole team and tells you when it does; it saves nothing about you personally for the team, and what it remembers about working with you stays between you and the Bot. In Share, add people as Collaborator (chat) or Manager (also change its instructions, skills, memory and apps); only the owner can delete it.
  • Action logs and audit trails for Bot work — Require evidence that separates facts, assumptions, completed actions, pending approvals and open questions, with logs and screenshots in /workspace. Enterprise only: audit logs of general events such as Bot creation and member access changes, and Action Recording of sanitized action metadata sent through OpenTelemetry.
  • Capstone: upgrade an engineering Shared Bot and add it to a sample Slack workspace — Add jobs, apps, secrets, Managers and Auto-review rules to an engineering Shared Bot, bring it to a test Slack workspace, and document where each conversation runs, who can answer its approvals and how its actions are logged.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Software engineers, SREs, QA engineers and technical operators. The material is pitched at advanced level, and takes roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: Grok Bot track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including branching scenario, guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a tool assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

  • Grok Bot: Advanced — Bot Teams, Triggers & Guardrails — Run several Bots as a small team with clear owners, narrow triggers and approval guardrails. Learners design Bot handoffs, write Auto-review rules, manage one of the team's Shared Bots (formerly called Team Bots), including its apps, secrets, skills and files, understand whose account each app uses and how Slack channels work, and report results with clear evidence. They finish with a multi-Bot workflow that has approvals and an action log.
  • Grok Bot: Mastery — Shared Bots & Leading Adoption — Lead reliable Bot work across a department using delegation, description, discernment and diligence. Learners choose which jobs become Shared Bots (formerly called Team Bots), run them with Managers and Slack, work with their admin on access and review settings, share templates safely, check Bot output, and measure impact honestly. They finish with a Shared Bot rollout plan they can take to their team.
  • Grok Bot for Developers: Core — Connections, Secrets & Event Routines — Wire Grok Bot into an engineering stack: whose account each app uses, custom MCP servers, secrets, and event routines from GitHub, Slack, Linear, Sentry, PagerDuty and webhooks with narrow matching and safe retries. Write skills that validate their own output, delegate coding to Cloud Agents, build engineering Pages, and build and share a simple engineering Bot through Shared Bots (formerly called Team Bots) with a read-only key.
  • Grok Bot for Developers: Mastery — Administering & Securing Grok Bot — Plan and secure a company-wide Grok Bot rollout: group access, pre-rollout network and privacy checks, connector policy and the MCP allowlist, Network Controls, Team Rules and required Auto-review, setup scripts and secrets, and managing Shared Bots (formerly called Team Bots) company-wide. Covers monitoring, member computers, offboarding and the Admin API, with Enterprise-only features clearly labelled. The final is a written rollout and security plan; no real admin access is needed.
  • Grok Bot: Core — Skills, Routines & Pages — Turn one-off tasks into reliable, repeatable work. Learners save skills, teach a task when available, turn a tested skill into a routine, publish results as Pages, and build Shared Bots (formerly called Team Bots): a simple one made from a skill that already works and shared with their team. They finish with one tested routine and a small Shared Bot their team can use.
  • Cursor & Grok Bot for Developers Pathway — One path for engineering teams that use Cursor with Grok Bot included. A placement check for each tool sends you to the right Cursor course and the right Grok Bot course. Also includes 8 optional playbooks (Testing, Code Review, Refactoring & Migration and Docs & Onboarding for Cursor; Testing, Code Review, Incidents & Performance and Docs & Onboarding for Grok Bot) to take any time after Essentials; they don't count toward the certificate.
  • Grok Bot for Developers Pathway — Grok Bot for engineers and technical operators: Bots for engineering work, custom connections and secrets, event-triggered routines, engineering Shared Bots (formerly called Team Bots), and administering and securing Grok Bot across a company. Also includes 4 optional playbooks (Testing, Code Review, Incidents & Performance, Docs & Onboarding) to take any time after Essentials; they don't count toward the certificate.

Related

Frequently asked questions

How long does this course take?

It runs roughly 150 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-GBOT-DEV-251.