Adding an AI interface can make a product easier to use. It does not, by itself, tell a customer why they should choose it or trust it with an important task. Before expanding an AI product, define the specific problem it solves, show one complete workflow, and make the boundaries of its actions understandable.

That was a recurring lesson in the October 8 edition of The Builder’s Table, presented by TGN Studios inside The Good News LOOP. Founders demonstrated products, and the hosts challenged them to connect what they had built to a clear user need.

The conversation included Darrel Frater, Founder and Managing Partner of TGN Ventures; Amadeu Tolentino, Managing Partner at TGN Studios, which supports founders with product, go-to-market, and fundraising work; Josh “YFRS,” Founder and CEO of NXZSOUND; and Antoine Patton, whose work includes Photo Patch, a nonprofit helping children communicate with incarcerated parents.

Their feedback pointed to a practical question for founders: What is the smallest valuable job your product can do reliably enough that someone will use it again?

Choose the job you want to win

In his demonstration of Liquid Agent, Christopher Powell described a financial platform bringing several activities into one experience, with an agent interface for interacting with the system. He introduced himself as its CTO.

The breadth prompted a useful question from Antoine: What is the core feature and problem the product solves? Is consolidation itself the value, or is there a more specific job underneath it?

Amadeu pressed a related point: find the layer where the product can be exceptionally useful. His explanation of Loop’s evolution illustrated the distinction. The broader aim was helping people build relationships with their audiences; the product focus narrowed around the live experience after observing how people used it.

A wedge is a focused entry point into a customer’s problem. It might be one recurring task for one identifiable group, rather than an entire collection of features.

A useful sentence to test is:

For [specific user], we help complete [specific job] when [trigger], with [clear advantage over the current approach].

If the answer requires listing every feature, the product may need a clearer starting point. This is a positioning exercise, not proof of demand. Customers still need to validate whether that job matters.

Explain trust as part of the product

Antoine’s feedback on Liquid Agent also raised security. When a product involves money and personal information, customers need a reason to feel comfortable connecting their accounts or delegating actions.

That does not mean adding a vague reassurance that everything is secure. Explain the actual controls, in language a user can understand. Depending on the product, useful questions include:

• What information does the product access?

• What can the agent do, and what requires my confirmation?

• Can I inspect what happened and revoke access?

• What happens when an action fails or a request is repeated?

These questions are editorial recommendations drawn from the discussion; they are not claims that any demonstrated product has implemented every control.

A demo can show the moment when a user reviews or confirms an important action. That makes the operating boundary concrete. The precise controls must match the actual system; a polished explanation cannot substitute for engineering or specialist review.

Start the demo with the problem

During the Vector Ledger discussion, an expert joining the product explanation for the first time said he was missing the reason it needed to exist. The founder then explained its intended users and the need for a financial record with a verifiable history.

That exchange reveals an easy mistake: a returning founder may assume everyone already has the context from a previous session. New customers, operators, and investors usually do not.

Before showing the interface, establish three things:

1. Who has the problem?

2. What happens today, and where does that process break down?

3. What will this demonstration show changing?

Then show one complete workflow. Explain the input, the product’s action, and the resulting output. For an AI product, distinguish a successful demonstration from evidence of reliable behavior across different conditions. Founder descriptions of performance or security remain descriptions until appropriately validated.

Make the next milestone a user

Vector Ledger’s founder showed a new agent interface after earlier feedback. The next challenge from Amadeu was to find a design partner rather than remain in a cycle of feature additions.

A design partner is an early user or organization working with you to test the product against a real workflow. The useful milestone is more specific than collecting compliments or showing another screen.

Identify someone with the target problem, agree on a bounded task, and observe what happens. Record whether they complete it, where they need help, and whether they return. Their experience can tell you what to improve, narrow, or remove.

This does not mean ignoring known defects. Reliability work may be necessary before involving a user in a consequential workflow. The aim is to connect engineering effort to a real need rather than treating every possible feature as equally urgent.

A practical next step

Before your next build sprint, write down the user, the job, the workflow you will demonstrate, and the trust boundary you will explain. Choose one person who can test that workflow and one question their experience should answer.

The result should be a focused learning goal: evidence that someone can use the product to accomplish something they care about. That is a more useful foundation for the next feature decision.

If you need support refining a product concept, scoping an MVP, or connecting product work to go-to-market, schedule a discovery call with TGN Studios.

Listen to the conversation

Listen to this episode on Spotify.