May 6th, 2026

May 6th, 2026

Marketing sync Gemini notes

May 6, 2026

Marketing sync

Invited Anuar Ustayev Daniela Popova rufus@lifeitself.org Yoana Popova Rufus Pollock Monika Popova Aleksandra Rubaj

Attachments Marketing sync Marketing sync - 2026/05/06 14:00 EEST - Recording

Meeting records Transcript Recording

Summary

Meeting discussions centered on AI automation for social media and Upwork workflows alongside project accountability initiatives.

AI Automation Workflow Overview
Existing AI agents manage Upwork bidding and social media chart generation via localized browser sessions. System constraints require manual restarts for failures caused by local computer disruptions.

Social Media Scaling Strategy
Teams will adopt existing AI workflows to automate cross-platform posting while maintaining manual oversight of generated content. Initial efforts focus on adapting complex data visualizations for mobile engagement.

Accountability and Project Management
Adoption of a centralized portfolio tracker ensures project ownership and milestone clarity. Standardizing project templates enables iterative development through established issue tracking and management processes.

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Decisions

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ALIGNED

  • Project entry requirements limited to minimum The team limits project documentation requirements to the currently defined minimum fields, intentionally excluding requirements like press releases for the current phase to prioritize incremental progress.

Next steps

  • [Anuar Ustayev] Add Keywords: Add more keywords for AI agent job. Increase submission of bids on Upwork.

  • [Deck] Schedule Meeting: Schedule meeting with Daniela Popova regarding automation of social media tasks.

  • [Daniela Popova, Anuar Ustayev] Discuss Data Source: Chat with Anuar Ustayev to understand data source for feeding AI jobs.

  • [Anuar Ustayev] Reply Discord: Answer Yoana Popova on Discord regarding her question.

  • [Rufus Pollock] Share Press Release Context: Put context about the press release meaning into Discord.

Details

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  • AI Agent Workflow for Upwork Submissions: Anuar Ustayev detailed their current AI agent workflow for automatically submitting bids on Upwork, noting that it is currently running in Clo (00:00:00). The agent runs every six hours, accesses their Chrome browser session for login, and searches for jobs based on keywords, including "open glow" and "nanoclue" (00:01:21). They plan to add more keywords, such as "AI agents in general," to increase the number of bid submissions (00:02:35).

    ![][image1]

  • AI Agent Operational Constraints and Reliability: Anuar Ustayev explained that the AI agent for Upwork runs on their local computer, which means it fails if their computer is traveling, loses internet, or goes to sleep. If the job fails, they typically rerun it when they are back online, confirming that the agent executes the job successfully (00:03:43).

  • Data Hub Chart Capture and Content Generation: The discussion shifted to a Data Hub chart capture job, which currently reads a content calendar to generate charts for social media posting (00:03:43). The agent is responsible for locating and running a render script to produce images, which are adapted for various platforms, such as generating an easier-to-read version for mobile devices on Instagram. The generated images and content are then used by subsequent jobs for posting to Instagram or LinkedIn (00:04:57).

  • Chart Adaptation for Social Media Platforms: Anuar Ustayev clarified that the AI agent adapts visualizations from Data Hub for platforms like Instagram because simply taking a screenshot of the complex, detailed Data Hub chart does not look visually appealing on social media. For example, the agent may decide to show only the last four or five years of data or specific data points to better present the information to the Instagram reader (00:07:39). Rufus Pollock suggested the "comparatron" project idea as a perfect fit for this kind of Instagram content, focusing on comparing two numbers, which Anuar Ustayev agreed would be easy to streamline (00:09:11).

  • Social Media Posting Methods and Cross-Platform Challenges: Anuar Ustayev noted that while Instagram posting can be done via an API, platforms like Reddit, LinkedIn, and Twitter are difficult to automate without using a browser, which is the current method for all platforms being used. They shared that the Reddit posting agent has successfully made 28 posts without human review, resulting in a good number of uploads (00:10:08). They also mentioned that Reddit did not work with Clo for Chrome out of the box, requiring them to patch the extension code to resolve restrictions (00:11:22).

  • AI Adoption and Task Delegation for Social Media: Daniela Popova wanted to ensure that the team could utilize this AI workflow, and Anuar Ustayev confirmed they had spoken to Deck, who is scheduling a meeting with Daniela Popova to automate some social media tasks. Daniela Popova and Yoana Popova requested to be in that meeting, noting that Deck is aware of the flow, though they use Linux, which requires considering alternatives like Codeex since Clo core does not work on that operating system (00:12:36). Daniela Popova expressed interest in the team having this flow to free up resources for tasks other than posting and publishing social media (00:13:33).

  • Post-Deployment Review and Improvement: Anuar Ustayev confirmed that they are not currently validating posts before they go live; they check the end result and manually delete or improve the AI skill if something is completely wrong (00:13:33). They confirmed that it is possible to create another job specifically for reviewing the posts, although Daniela Popova noted that they do not want to remove themselves completely from the process. Daniela Popova also requested further discussion with Anuar Ustayev to understand the source feeding the AI jobs, such as the content calendar and data sets (00:14:42).

  • The Value of Iterative Shipping and Issue Tracking: Rufus Pollock emphasized the importance of "shipping early, shipping often" and iterating on the product, using the AI posting issues as an example of quickly fixing problems after they are identified. They suggested using an AI-friendly issue tracker or, at a minimum, simple tools like Linear, for task management (00:15:55). Rufus Pollock added that it is easy to generate content suggestions, such as having the AI read blog posts and suggest 30 posts for the next month (00:16:50).

  • Project Accountability and Portfolio Tracking: Rufus Pollock brought up the need for accountability and tracking projects, referring to the portfolio document where projects, owners, and timelines are being initiated (00:19:11). Daniela Popova confirmed that they have minimum required fields in the portfolio, allowing the owner to add more information so that anyone viewing the page is clear on the next steps. Daniela Popova has been onboarding team members like Boris, Yoana Popova, and Monika Popova to the portfolio process (00:20:16).

  • Reflecting on AI Adoption and Project Templates: Rufus Pollock noted that the AI adoption initiative does not currently have a clear owner and is happening ad hoc, which may need to be addressed in the portfolio (00:22:15). They reviewed the current project entry specification, noting that the template does not currently require writing a press release, though Rufus Pollock suggested that writing one is valuable for clarity, even if it is a "baby step" they choose to skip for now (00:23:14). The discussion concluded with Rufus Pollock exiting the meeting after confirming that the team is working on the project accountability framework (00:24:09).

Marketing sync Granola notes from Monika

Wed, 06 May 26 · anuar.ustayev@datopian.com, daniela.popova@datopian.com, rufus@lifeitself.org, yoana.popova@datopian.com, rufus.pollock@datopian.com

Team Check-ins & Updates

  • Monika: Distracted but prepared, accomplished GitHub issue creation as requested
  • Anuar: Running well, limited to 30 minutes due to back-to-back meetings
  • Yoana: Feeling much calmer after resolving flat/housing issues, previously overwhelmed
  • All team members completed minimum required project fields in timely manner

AI Automation Demo & Implementation

  • Anuar’s automated marketing system running successfully
    • Upwork job applications: 28 submitted proposals, 2 active, 1 call scheduled for tomorrow
    • Social media posting: Reddit (28 upvotes), LinkedIn, Instagram automated
    • DataHub chart generation: Adapts visualizations for mobile/platform-specific formats
    • Content calendar integration: Pulls from repository, generates daily posts
  • Technical setup details
    • Uses Claude/Cursor, $200 monthly budget, 75% weekly usage
    • Browser automation for platforms without API access
    • Local computer dependency (fails when offline/sleeping)
    • Some platform restrictions (Reddit required extension patching)
  • Scaling plans
    • Meeting scheduled with Daniela today for automation setup
    • Whole team adoption planned
    • Monika wants to join setup meeting
    • Currently no validation/review process, posts automatically

Project Portfolio & Accountability

  • Portfolio system implemented with minimum required fields
  • Team members (Yoana, Monika, others) onboarded and adding initiatives
  • Rufus emphasized importance of systematic AI adoption initiative
    • Currently happening ad hoc without clear owner
    • Needs more structured approach beyond current volume/velocity project
  • Press release template available for project initiation
  • Regular tracking and updates needed for accountability

Chat with meeting transcript: https://notes.granola.ai/t/e1e3c233-c6f3-4f37-a6a6-2ed1b42e34de-00demib2

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