AI as Intern
Delegate research and admin to AI while humans retain judgment and creativity
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 6
- Confidence
- 90%
Alisa Jacobs frames useful AI as an intern that works for the operator rather than a replacement that does the operator's homework. Start by handing it bounded research, analytics, and administrative tasks that consume time but do not define the human contribution. Use the resulting material to pressure-test ideas and accelerate market understanding, then apply proprietary context, creativity, strategy, and judgment before anything is used. Jacobs contrasts this with a singular AI model that removes humanity and touchpoints, which she expects to fail. She also stresses disclosure, likeness rights, and the danger of blurred reality. The operating test is whether AI alleviates low-leverage work and accelerates insight while leaving responsibility, trust, and the creative decision with a person.
Origin
Extracted from Coffeez for Closers. Jacobs describes applying AI-powered tools inside her agency to compress research and administrative work while retaining human strategy and creativity.
Core principles
- 01AI should alleviate and accelerate rather than replace human judgment
- 02Automation creates value when it frees time for strategy and creativity
- 03Research output should pressure-test an idea, not decide it
- 04Human touchpoints and honest disclosure protect trust
- 05The operator remains responsible for the final work
How to run it
- 1
Find the operational drag
List the research, analytics, and administrative work consuming time that could otherwise go to strategy, creativity, or revenue-generating strengths. Choose a bounded task rather than an entire role.
Pro tip Start with work that is easy to inspect and correct.
- 2
Delegate a defined brief
Give the AI a clear research or execution task with the necessary context and expected output. Treat it like a junior contributor, not an autonomous authority.
Watch out Do not provide sensitive information without appropriate controls.
- 3
Pressure-test the idea
Compare the AI's findings with your hypothesis, available data, and proprietary knowledge. Use disagreements to sharpen questions rather than accepting the first result.
Pro tip Ask whether the output changes, supports, or weakens your original view.
- 4
Restore human context
Apply strategy, creativity, relationships, and brand judgment that the generated output cannot supply by itself. Make the final decision as the accountable human operator.
Watch out A polished synthetic answer can still be false or inappropriate.
- 5
Protect trust
Check whether synthetic media, copied likeness, or generated claims require disclosure and permission. Reject work that depends on misleading the audience.
Watch out Do not use an AI likeness or voice in ways the represented person did not authorize.
- 6
Reinvest the saved time
Move the released capacity into the superpower that creates value, such as creative direction, strategy, relationship-building, or selling. Measure the workflow by both time saved and final quality.
In the wild
Jacobs says AI tools let her perform deep data and analytics on a company or brand far faster than a traditional multi-month research process. She uses the output to pressure-test her ideas rather than letting the system do her job for her.
→ Research and analysis are accelerated while strategic interpretation remains human.
A solo founder asks AI to organize public competitor claims and customer themes, verifies every source, compares the findings with customer interviews, and personally decides which positioning argument is credible.
→ The founder saves synthesis time without outsourcing market judgment.
Common mistakes
Letting AI do the homework
Delegating the thinking itself removes the operator's judgment and makes errors or generic output more likely to survive.
Removing human touchpoints
A fully synthetic workflow can weaken the humanity and trust that Jacobs sees as increasingly important to a brand.
Leading with falsehood
Using generated copy, images, or likenesses to mislead an audience violates the trust requirement at the centre of the method.
Is it for you?
Best for
Solo operators, startups, and agencies spending too much time on research or administrative execution.
Not ideal for
Work where unreviewed automation could deceive people, misuse a likeness, or make high-stakes decisions.
From the transcript
“It's not doing my job for me, but it's allowing me to pressure test my ideas”
“It shifts because it alleviates and it accelerates.”
“But if you allow AI to work for you and it's your intern or it's your bitch.”
From the episode
Natasha Graziano & Alisa Jacobs