A Week in the Life of a Creator Using Flockx
Follow a podcaster through five days of real work with an AI team. From Monday planning to Friday promotion, see how every major Flockx feature fits into a creative workflow.
You know Flockx gives you a team of six AI specialists. But what does a full week actually look like when they are all working alongside you?
This post follows Jordan, a solo podcaster who hosts a weekly interview show on business and creativity. Jordan records one episode per week, promotes it across social channels, and handles everything from guest research to show notes. Before Flockx, that meant long days and scattered workflows. Now each team member owns a piece of the process.
If you have used one or two features so far, this walkthrough shows how they all connect. If you are still evaluating Flockx, this is the clearest picture of how the product works in daily practice.
Weekly Planning with Eva
Every week starts the same way. Jordan opens the Task Management screen and clicks into Eva's schedule configuration. The task drawer slides out from the right side of the screen, and Jordan sees the dynamic form that lets you define a task, assign it to an agent, set a schedule, and choose whether it recurs.
What Jordan Sets Up
- Episode Outline (Sage, every Monday): "Research this week's guest and draft an episode outline with five talking points."
- Show Notes Draft (Clara, every Wednesday): "Write show notes for the latest episode, including timestamps and key takeaways."
- Social Promotion Calendar (Maya, every Thursday): "Create five social posts promoting this week's episode across LinkedIn, X, and Instagram."
- Guest Follow-Up (Alex, every Friday): "Draft a thank-you email and suggest one collaboration idea for this week's guest."
Because these tasks are recurring, Jordan only sets them up once. Each week they fire on schedule, and the results appear in the task results view. If Jordan needs to adjust a prompt or change the frequency, the schedule configuration form makes that a two-click edit.
Getting Started with Recurring Tasks
Start small. Pick one task that you do every week (episode planning, social posting, or email drafts) and set it up as a recurring task with Eva. Once you see results coming in automatically, add more.
Guest Research with Sage
Jordan's guest this week is a product designer who recently published a book on creative leadership. The recurring task from Monday already produced a draft outline, but Jordan wants to go deeper. Time to open the chat.
In the chat input, Jordan types @Sage and a mention selector appears. Selecting Sage routes the message directly to the strategic planning specialist.
The @Mention Conversation
Jordan
@Sage, research this week's guest: Priya Sharma, product designer and author of "Design Your Leadership." Give me her background, three interesting angles we have not covered on the show before, and two potential follow-up questions for each angle.
Sage
Sage returns a structured brief: Priya's career timeline, her design philosophy, recent interviews she has given (to avoid repeating ground), and three episode angles with follow-up questions tailored to Jordan's interview style.
The @mention feature matters because it puts you in control of who handles what. When Jordan tags Sage, the message bypasses the default routing and goes straight to the research specialist. This is useful when you know exactly which team member you need.
When to Use @Mentions
Use @mentions when you have a specific request for a specific specialist. For open-ended questions where you are not sure who should handle it, just type your message normally, and the routing system will choose the best team member.
Content Creation with Clara
Recording is done. Now Jordan needs show notes, a blog companion post, and an audiogram script. Instead of starting from scratch, Jordan opens the chat landing page and scrolls through the Quick Starter cards.
Quick Starters are pre-built prompts displayed as workflow cards on the chat landing screen. Each card is labeled with a task name and the team member who handles it. Jordan clicks "Create Show Notes" and a new chat opens with Clara, pre-loaded with a prompt designed to gather the right details.
Wednesday's Content Output
- Show Notes: Clara asks about episode highlights, guest quotes, and key timestamps. She produces formatted show notes with sections for the summary, key takeaways, links mentioned, and a call to action.
- Blog Companion Post: Jordan clicks a second Quick Starter, "Write Blog Post," and Clara drafts a 600-word companion article pulling from the episode content. Clara already has context from the show notes conversation.
- Audiogram Script: In the same thread, Jordan asks Clara to pull the three most quotable moments from the episode for short-form social clips.
Because Clara is the content specialist, she adapts to Jordan's writing style over time. The more Jordan uses Quick Starters and provides feedback, the closer Clara's output matches Jordan's voice. To learn more about how that works, read How Your AI Team Learns and Remembers.
Stack Quick Starters
You can use multiple Quick Starters in a single session. Start with show notes, then open a new Quick Starter for the blog post. Each conversation is a separate thread, so your context stays organized.
Knowledge Review with Otto
Thursday is Jordan's review day. Before promoting the episode, Jordan wants to make sure the team's knowledge base is up to date. Jordan opens Workbench HQ, the central hub where all documents, reports, and website scans live.
The Workbench HQ interface uses a tabbed layout. Each tab represents a different knowledge source type: uploaded documents, website scans, generated reports, and more. Jordan clicks through the tabs to review what the team knows.
What Jordan Finds in Workbench HQ
Documents Tab
Episode transcripts, guest bios, and brand voice guidelines that Jordan uploaded earlier. These feed into every team member's context.
Website Scans Tab
Jordan's podcast website and competitor sites that Otto has been scanning. The team uses these scans to stay current on industry trends.
Reports Tab
Weekly analytics summaries and audience insights that Otto generates automatically from connected data sources.
Task Results Tab
Output from this week's recurring tasks. Jordan can review, approve, or send feedback to refine future results.
Otto's strength is operations. By reviewing the knowledge graph on Thursday, Jordan catches anything that needs updating before Friday's promotion push. If the podcast website has new reviews, Otto has already scanned them. If audience demographics shifted, the reports tab will surface that.
Feed the Knowledge Graph
The more documents and data sources you connect, the smarter your team becomes. Upload episode transcripts, brand guidelines, and competitor links. Your team references this knowledge in every conversation and task.
Promotion with Maya and Outreach with Alex
Friday is launch day. The episode is live, the show notes are published, and now it is time to get the word out. Two team members handle this in parallel.
Maya Builds the Social Calendar
Remember the recurring task Jordan set up on Monday? Maya's social promotion calendar has already fired. Jordan opens the task results and finds five ready-to-publish social posts: a LinkedIn thought piece, two X/Twitter threads, an Instagram carousel caption, and a short-form video script.
How Recurring Tasks Deliver Results
- Task fires on schedule: Maya's social calendar task runs every Thursday evening.
- Results appear in task view: Jordan finds the output waiting on Friday morning, formatted and ready to review.
- Review and publish: Jordan reads through the posts, makes light edits, and publishes them across platforms.
Maya's posts are tailored to each platform. The LinkedIn post is professional and references industry data. The X threads are concise and conversational. The Instagram caption is visual and uses relevant hashtags. All of them sound like Jordan because Maya has learned the brand voice from the knowledge graph.
Alex Handles Guest Outreach
Alex's recurring task has also delivered. The guest follow-up email is drafted and waiting for Jordan's review. It includes a genuine thank-you, a link to the published episode, and a collaboration suggestion for a future crossover episode.
But Jordan also needs to reach out to next week's guest. Jordan opens the task results, reviews Alex's email draft, and decides to export it as a PDF to share with the podcast's production assistant. The markdown-to-PDF export turns the formatted task result into a clean, shareable document in one click.
Exporting Task Results
Any task result can be exported as a PDF. The export preserves formatting, headings, and lists. This is useful for sharing drafts with collaborators, archiving reports, or creating printable briefs for recording sessions.
Two Agents, One Friday
Maya and Alex work independently. Their recurring tasks fire on different schedules, but the results land together on Friday morning. This parallel workflow is one of the biggest advantages of having a team rather than a single assistant.
The Full Week at a Glance
Here is what Jordan accomplished with the Flockx team in five days:
Monday: Planning
Eva's task scheduling sets up recurring tasks for the whole week. Set it once, adjust as needed.
Tuesday: Research
Sage delivers guest research via @mention in chat. Direct, fast, and tailored to the episode.
Wednesday: Content
Clara creates show notes and a blog post using Quick Starters. One click, done.
Thursday: Review
Otto's Workbench HQ shows all documents, scans, and reports in a tabbed knowledge interface.
Friday: Promote
Maya's social calendar and Alex's outreach emails are waiting in task results. Review, edit, publish.
Every Week
Recurring tasks mean most of this runs automatically. Jordan directs, the team executes.
Why This Matters for Solo Creators
The core benefit is not speed (though it is faster). The core benefit is that Jordan never has to context switch between planning, researching, writing, analyzing, and promoting. Each team member owns a lane. Jordan stays in the creative driver's seat, making decisions and providing direction, while the team handles execution.
This is what separates a team of AIs from a single all-purpose assistant. Sage does not write social posts. Maya does not draft guest emails. Clara does not analyze website scans. Each specialist focuses on what it does best, and the work is better for it.
If you are a podcaster, solopreneur, or content creator who has been doing everything yourself, this is what having a team feels like. You still call the shots. You still shape the voice. But you are no longer the only one doing the work.
Your Week Will Look Different
Jordan's week is one example. A food blogger might use Clara for recipes and Maya for Instagram strategy. A consultant might lean on Sage for market research and Otto for client reporting. The team adapts to your workflow, not the other way around.
Ready to Start Your Week?
Your AI team is set up and waiting. Open your dashboard, pick a task, and see what a week with Flockx looks like for you.