This session extensively demonstrated how the new ChatGPT Agent feature can automate key business tasks, including research, email outreach, competitor analysis, market research, and pitch deck creation—all performed in parallel.
The presenter ran six simultaneous agents, with each agent executing tasks that previously required several employees, showing the efficiency and disruptive potential of the technology.
The session included live walkthroughs, real-world use cases, reflections on tool limitations, and actionable takeaways for entrepreneurs and business owners.
Key insights and learnings were highlighted regarding multi-agent workflows, prompting techniques, and the emerging impact on various business software and roles.
Action Items
n/a (No specific, non-example action items or due dates were assigned in this meeting. The transcript is a presentation/demo and does not include specific business action items for attendees.)
Demonstration of ChatGPT Agents — Multi-Agent Workflow
Six ChatGPT agents were run concurrently to handle parallel tasks such as:
Researching and compiling a list of 20 plumbers in Nashville with active websites and contact info; exporting results to a Google Sheet/CSV.
Conducting competitor analysis for an e-commerce business (texassnacks.com), including identifying leading competitors and analyzing their strengths and strategies.
Researching five Austin dentists, compiling detailed background info on each, and drafting hyper-personalized cold emails offering SEO services.
Analyzing Google Trends for five affordable business ideas, estimating market size, competition, and creating an opportunity ranking.
Reviewing upcoming calendar appointments, researching each meeting participant, and preparing custom briefing documents.
Performing Amazon review analysis for powdered energy drinks, extracting most common complaints, and suggesting features to address each.
Prompting and Reference Data Best Practices
Emphasis on providing reference data/examples when prompting ChatGPT for more tailored and relevant outputs.
Strategies shared to improve agent effectiveness, e.g., specifying data sources (Manta, Reddit, Google Trends), and the benefits of detailed instructions for multi-step or personalized tasks.
Research, Email Drafting, and Automation
Each agent independently performed research and generated outputs, such as compiling CSVs, preparing charts, and writing cold outreach emails.
AI agents demonstrated the ability to self-correct when errors were detected (e.g., email subject/body mix-ups).
Some glitches noted when requiring login/authentication or when navigating away from active browser tabs during agent tasks; manual intervention sometimes needed.
Pitch Deck & Market Analysis Automation
Research on Amazon energy drinks was leveraged to create pie charts and investor-ready pitch decks.
The AI adapted pitch deck design by ingesting a reference Airbnb pitch deck file and incorporating personal anecdotes and market data.
Demonstrated rapid creation of polished business collateral from research to presentation, reducing hours of manual work to minutes.
Reflections on Business Impact and Limitations
AI agents can now replace multiple traditional roles (assistant, researcher, copywriter, analyst).
Limitations include login friction, occasional browser-based glitches, and the need to monitor certain sensitive operations.
The biggest opportunities are not in simple brainstorming, but in automating complex, revenue-generating workflows.
Highlighted the likely obsolescence of many third-party apps/extensions as core features are absorbed into OpenAI’s ecosystem.
Decisions
Adoption of ChatGPT Agents for automating key business tasks is validated — Demonstration proved the tool’s ability to execute time-consuming workflows efficiently, reducing manual effort and resource requirements.
Open Questions / Follow-Ups
Will future versions of ChatGPT Agent reduce login/authentication friction for third-party integrations?
How can AI agents further personalize outputs while ensuring privacy and avoiding unwanted data exposure or bias?
What additional business verticals can benefit most from multi-agent automation?