What happens when you automate away a six-hour task? You don't get more free time ... you just do more work.

In this impromptu conversation, Kimberly and Jessica break down what agentic AI actually does, why the "time savings" narrative misses the point entirely, and how to figure out which workflows are worth automating.

WHAT WE COVER:

What agentic AI actually is (and how it's different from ChatGPT)
Jessica's real invoice automation workflow: how she turned 6 hours of manual work into an AI agent task
The framework for identifying automatable workflows (repetitive, skill-free, multi-step tasks)
Why this beats creative AI work: no judgment calls, just execution
The Blackboard experiment: what happens when an agent does something you didn't ask it to do
Security & trust: passwords, login credentials, and where your data actually goes
Enterprise-level agent solutions (and why they're not quite ready yet)
The uncomfortable truth: freed-up time doesn't mean fewer hours—it means more output
How detailed instruction manuals prepared Jessica for prompt engineering
The human bottleneck: why your whole organization has to move at the same speed
Why marketing and research are next on the chopping block

TOOLS MENTIONED:

ChatGPT Pro with Agents — https://openai.com/chatgpt/
Perplexity Comet (agentic browser) — https://www.perplexity.ai/comet
Zoho Billing — https://www.zoho.com/billing/
Constant Contact — https://www.constantcontact.com
Zapier — https://zapier.com
Elicit (systematic reviews & literature analysis) — https://elicit.com
Corpus of Contemporary American English — https://www.english-corpora.org/coca/
Descript — https://www.descript.com
Canva — https://www.canva.com
Riverside.fm — https://riverside.fm

TIMESTAMPS:

0:00 — Opening & guest cancellation
1:18 — Podcast website & jingle development (and why music taste is complicated)
6:34 — What is agentic AI? Jessica's invoice automation example
10:33 — Why this use case actually works
14:15 — The Blackboard incident (when the agent went off-script)
16:21 — Security concerns: passwords, login credentials, and trust
18:35 — Why speed doesn't matter (as long as it's faster than human bottleneck)
19:27 — Enterprise solutions on the horizon
20:57 — United Airlines cease-and-desist letters for replica training sites
22:27 — Why Kimberly can't use agents in her CCRC work
25:21 — How to identify your automatable workflows (the practical framework)
27:57 — Research automation with Elicit & corpus linguistics
30:45 — The core insight: AI shifts time, it doesn't save it
34:10 — Organizational bottlenecks & human capacity limits
35:08 — Pit & Peach (staying in your own canoe)

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