An AI assistant that answers questions is useful. A team of specialised agents that gathers information, shares findings, updates files, and brings important decisions to you is something different. For Canadian Technology Magazine readers exploring practical automation, that is the opportunity: move from isolated prompts to a connected system that does repeatable work.
Grok Bot supports this approach through cloud-based agents, connected apps, shared conversations, scheduled routines, and reusable skills. You can start with one small assignment, then build a team around it. The trick is not creating the most bots. It is giving each bot a clear responsibility and making sure their work connects.
Table of Contents
- AI Workforce
- Bot Setup
- Chief of Staff
- Research Team
- Group Chats
- Routines and Alerts
- Research Journals
- Teaching Skills
AI Workforce
Think of an AI workforce as a small department. One agent researches. Another organises records. A third challenges conclusions. A coordinator keeps everything moving and brings you the decisions that need your attention.
The agents work on a cloud computer, so their activity does not depend on keeping your laptop open. You can communicate from a desktop or phone, close your devices, and let scheduled work continue.
A research desk makes a useful example because it contains several distinct jobs: reading company filings, analysing earnings, tracking events, maintaining records, and questioning assumptions. Traditionally, doing all of that required either several people or a lot of your own time.
The Canadian Technology Magazine takeaway is straightforward: automate a workflow, not just a conversation. Break a recurring job into smaller pieces, identify what each piece produces, and decide who needs that output next.
Keep the boundary between assistance and authority clear. The investing example here uses simulated paper trading, not real money, and is not financial advice. Research and proposals can be automated while final decisions remain with you.
For Canadian Technology Magazine readers, the sensible starting point is one weekly task. Get that working before building an entire department.
Bot Setup
Creating an agent starts with the plus button and the option to create a new bot. Give it a name and a specific mission. “Help with research” leaves plenty of room for interpretation. “Monitor filings for companies on this watch list and flag unusual developments” gives it a concrete job.
A name, portrait, and a little personality make agents easier to recognise. Your sceptical analyst can sound sceptical. Your builder can be enthusiastic about shipping things. Just keep personality separate from the standards the work must meet.
A practical Canadian Technology Magazine setup checklist is:
- Define the responsibility: State what the bot owns and what falls outside its role.
- Specify the deliverable: Ask for a summary, spreadsheet, journal entry, or dashboard update.
- Connect the tools: Add the apps it needs, such as Google Drive, Gmail, Calendar, or Notion.
- Test one assignment: Inspect the result before making the task recurring.
There is an important permissions detail. Bots have their own workspaces, but they share the underlying machine. Connected apps can therefore be available across the bot team. A separate bot is not automatically a separate access boundary.
You can also ask an agent to create its own email address through AgentMail. That gives it an inbox for newsletters, registrations, and incoming information without always using your personal email identity. AgentMail is described as a free service designed for agents.
The Canadian Technology Magazine principle here is simple: connect deliberately. Understand what access you are granting before expanding the team.
Chief of Staff
Once several agents are active, managing every conversation becomes its own job. Congratulations, you automated the work and accidentally promoted yourself to notification manager.
A chief of staff solves that coordination problem. Create this agent early, alongside the general-purpose assistant, and make it your main point of contact.
Its responsibilities can include creating specialist bots, assigning projects, coordinating handoffs, checking progress, and filtering updates. Rather than hearing every intermediate thought from every agent, you receive the information worth acting on.
For Canadian Technology Magazine readers, this is the distinction that makes a multi-agent setup manageable: delegate coordination as well as execution.
Pin the chief of staff so it stays easy to find. Then give it operational instructions, such as ensuring every research bot saves its spreadsheets to Google Sheets and formats them clearly.
That last detail matters. Asking agents to maintain “spreadsheets” may result in local comma-separated files rather than shared Google Sheets. Neither output is inherently wrong, but only one may fit your workflow.
The chief of staff can manage bots, adjust names, assign portraits, and delegate work. In the setup described here, deleting bots remains a manual action. The Canadian Technology Magazine lesson is to define both responsibilities and limits rather than assuming the coordinator can do everything.
Research Team
A useful team has distinct roles, not six agents producing six versions of the same summary. The research desk example separates information collection, interpretation, challenge, recordkeeping, and simulation.
Here is how that division works:
- Builder: Creates scripts, web apps, automations, and a dashboard showing research activity and simulated trades.
- Filings clerk: Monitors SEC filings for watch-list companies and flags developments such as insider sales or significant transactions.
- Supply-chain mapper: Tracks relationships across AI chips, foundry equipment, memory, data centres, power, and cloud infrastructure.
- Market calendar: Maintains upcoming earnings dates, central bank meetings, inflation releases, and other relevant events.
- Sceptic: Challenges assumptions and identifies evidence that could undermine a proposed thesis.
- Earnings analyst: Combines company results with the broader research picture.
- Bookkeeper: Maintains holdings, measures drift against target weights, and prepares rebalance proposals for approval.
- Tax specialist: Focuses on tax-related questions and account considerations within the example.
- Paper trader: Tests ideas through simulated trades and backtests, using the S&P 500 as a comparison.
For Canadian Technology Magazine readers, the transferable idea is role clarity. Each agent should contribute something the others do not.
The sceptic is particularly useful. It should not merely disagree. Ask it to explain what evidence would prove its own position wrong. That produces a more useful challenge than automatic pessimism.
After creating a specialist, ask what it does, what it has completed, and what would help it perform better. A builder, for example, may need a repository for its code. Another agent may need a clearer watch list.
The Canadian Technology Magazine standard for this setup is not “more agents equals better results.” It is better-defined jobs, better inputs, and clearer handoffs.
Group Chats
Specialists need a place to collaborate. Create a group chat for agents whose work regularly intersects, such as the filings clerk, mapper, calendar, sceptic, analyst, and paper trader.
Now a research question can move through the team. The clerk brings filing details. The mapper explains supply-chain constraints. The calendar adds upcoming catalysts. The sceptic challenges the idea. The analyst combines the evidence, and the paper trader proposes a simulated response.
The Canadian Technology Magazine benefit is shared context. Instead of manually copying one agent’s output into another conversation, you let the relevant agents exchange findings directly.
Shared files matter just as much as shared conversations. Connecting Google Drive allows agents to inspect one another’s work, but you still need explicit storage instructions:
- Use Google Sheets for shared spreadsheet deliverables.
- Upload existing spreadsheet files to the agreed location.
- Label information consistently.
- Format sheets so the contents are readable.
If agents follow different conventions, send the correction through the chief of staff rather than repeating yourself in every chat.
For Canadian Technology Magazine readers, group chats are best understood as working groups. Include agents that genuinely need to exchange information, rather than putting every bot into every conversation.
Routines and Alerts
One-off delegation saves effort once. Routines make that saving repeat.
You can let the chief of staff manage schedules or open an individual bot’s details panel to inspect its routines. Describe the task, frequency, and notification conditions in plain language.
For example, ask an agent to check investing communities one hour before market open and one hour before market close, then notify you about major developments involving watch-list companies.
A useful Canadian Technology Magazine routine has three parts:
- When to run: Specify the schedule or interval.
- What to examine: Name the sources, companies, files, or subjects.
- When to interrupt: Define what deserves a notification.
For an imminent announcement, checks might run every few minutes. For broader sentiment research, a few times a day may be enough. The point is to match the cadence to the task, not make everything run constantly.
Agents can also gather information from X, although API calls require payment. That can support sentiment summaries or alerts about specific accounts and events.
Be selective with phone notifications. Enable them for your main assistant and chief of staff if those are your decision channels. The Canadian Technology Magazine goal is less distraction, not a pocket full of agents all demanding attention at once.
Research Journals
The immediate value of automation is getting work done. The longer-term value may be the record it leaves behind.
Ask agents to journal their findings, reasoning, proposals, and relevant decisions in Google Drive. In the research example, that includes simulated trades, investment theses, challenges, and the information available when a decision was made.
The Canadian Technology Magazine opportunity here is cumulative learning. After six or twelve months, a structured history can help you examine which reasoning patterns were associated with successful outcomes and which repeatedly missed something important.
Useful journal entries can capture:
- The information collected and its source.
- The interpretation or proposed action.
- Objections raised by other agents.
- The decision and the reasoning behind it.
- The outcome when it becomes available.
Do not expect deep historical insights on day one. First, the history has to exist. A monthly routine can check that records are present, confirm they are being backed up, and identify analysis worth running.
For Canadian Technology Magazine readers, the distinction is between storing files and preserving useful context. A final recommendation tells you what happened. A journal helps explain why it happened.
Teaching Skills
Some repeatable tasks are easier to demonstrate than describe. Grok Bot’s teaching feature lets you record a browser task so the agent can interpret the steps and turn them into a reusable skill.
Select the option to teach a task, perform the workflow, and let the agent produce a written procedure. Then test it.
A playful example is teaching Minesweeper. A more useful application is showing an agent how to collect information from several websites and place it into an internal dashboard. The same principle applies: demonstrate the sequence, capture it, and check whether it can be repeated.
The Canadian Technology Magazine approach to skills is practical: teach a real recurring job, then verify the result. A recorded demonstration is a starting point, not proof that every step has been understood correctly.
Skills are written instructions, which can make them transferable between compatible agent systems. They can also be refined as you discover missing steps or unclear directions.
There is an upfront time cost. Training an agent resembles training a new employee: you explain the task, inspect the output, and correct misunderstandings. The payoff arrives when a process that once required repeated manual effort becomes a command you can reliably reuse.
Agents can also work with a designated local folder for tasks such as organising receipts or labelling old photos. The workforce does not have to stay inside a financial research example.
Start with one job, one named bot, and one clear deliverable. Add a routine when the task works. Add another specialist when the workflow needs one. Connect the handoffs last.
That is the Canadian Technology Magazine bottom line: the real breakthrough is not an impressive collection of bots. It is a complete process that keeps moving while you are doing something else, with you still responsible for the decisions that matter.
