Give a Pitch-Deck Bot a Rubric, Not the Final Say

A pitch deck says “40 pilot users.” The summary comes back with “40 paying customers.” It reads well enough that the next person might paste it straight into a review note. The problem started before anyone got to the decision.

If you use Grok Bot to screen pitch decks, give it a short rubric and require it to show the slide behind each claim. Its job is to prepare a review note with evidence and open questions. A person decides what to pursue and what to communicate. You can adapt the review structure for sponsorship proposals and creator partnership decks.

The useful idea in Brian Evans’s setup

In his August 28 post, Brian D. Evans described building a pitch-deck screener around his own criteria. The independent GrokBot.dev case write-up reconstructs the setup interview and the review note that surfaces fit and gaps. The review card and example below are my own proposed adaptation.

The part I’d borrow is the interview. Ask a teammate what gets a deck onto their shortlist and you’ll often hear “it depends.” Ask them to name the last deck they almost misread and you might get a usable rule, such as “For this program, a pilot counts only if the deck explains who used it and what they did.”

The rubric should name the evidence that would satisfy each rule. “Traction” is too broad. “A labeled count of active pilot participants for a stated period” gives a reviewer something they can check. An empty field means the reviewer has a question. It’s a poor reason to quietly reject the deck.

A review card you can hand to a teammate

Use one card per criterion so the source and next question stay together. In your review queue it can be a few plain text fields.

• Criterion. What do we need to see, and which version of the rubric are we using?

• Deck claim. What does the deck say? Record the page or slide label and enough context to locate it.

• Evidence state. Choose stated in deck, missing, unreadable, or conflicting. A statement in a deck is still the submitter’s claim.

• Reviewer question. What could resolve the uncertainty? Leave the question in the review queue.

• Human disposition. Who checked the slide and chose the next step? Keep the decision and any outgoing message under human control.

If you can’t open the original slide from the note, ask for a better reference before relying on it. For a chart, keep the unit, period and legend with the number. “40” on its own can describe people, accounts, or visits.

The slide that changes the follow-up

Here’s a fictional review for a creator running a small business software showcase. The organizer wants products with a live pilot and a clear user group. The criteria don’t require paid adoption, but the program description may mention paid customers only when the claim is supported.

On slide 3, the deck identifies independent design studios as the intended users. Slide 6 says “40 invited users” and lists “12 weekly active users” without saying which week. Slide 9 includes a price for a planned launch. A hurried summary could turn those three facts into a live pilot with 40 paying studio customers.

• User group. Independent design studios, slide 3. Stated as the intended audience. Which participants are studios?

• Pilot use. Slide 6 reports 12 weekly active users and 40 invitations. The activity period and definition are missing. Which week was measured, and what counted as active?

• Paid adoption. Slide 9 shows planned pricing. Paying customer count is missing. Keep any paid-adoption claim out of the program description.

The reviewer opens slides 3, 6 and 9, confirms the distinctions, and marks the deck “Needs clarification.” They decide whether to send two questions about the pilot group and the activity window. The card does its job even if they decide to take no action. It shows why the result is unresolved and makes it easy for the next reviewer to pick up.

A small trial you can run without a real deck

Write three one-page fictional samples. Give the first a clear pilot claim with a date, give the second only an invitation count, and make the third chart unreadable. Label the expected evidence state yourself before running the screener. Compare every answer with the exact page. If it invents a date, mixes invitation and usage counts, or fills in the unreadable chart, fix the rubric and rerun the same samples.

Keep a source log with the document version, slide, exact units, permission to use the file, and reviewer. Start without inbox, CRM or outbound permissions. Keep the sample free of founder contacts, private financials and customer identifiers. Check the rights and confidentiality restrictions before using a real submission.

The provider’s Grok Bot terms put responsibility for access and approvals on the customer. They also describe persistent environments that may be shared across a user’s bots. Before using a team template, inspect the exported or shared version for example files, private criteria and identifiers. A template is a starting point for configuring a review. Keep separate checks for what an account can access.

For the handoff to an outside party, use the same approval boundary for creator workflows that you’d use for a public post. The reviewer approves the exact message and recipient before anything is sent, and keeps account changes or spending behind their own approval. For a related example of tracing short claims back to a source, see the slide-by-slide ContentDrips review.

Questions about pitch-deck screening

Can a screening bot decide which decks to reject?

Keep final disposition with a person. Have the bot identify the criterion, the slide, and the open question. A missing slide can be an incomplete submission or a parsing problem.

What should the screener return when a chart is unreadable?

Mark it unreadable and cite the slide location. Ask for the original chart or underlying numbers. Avoid filling in a number from the shape or color of a bar.

Should I use one overall score?

Start with evidence states per criterion. A single score can hide a missing metric or a disagreement between slides. If your team needs a score later, agree on what each input means and how missing data is handled.

Can I reuse the rubric for sponsorships?

Yes. Replace the criteria with ones you can check, such as audience fit, which placements the proposal includes, and how those placements will be reported. Keep the same evidence and approval fields.

Bring one review you keep repeating

If every pitch or partnership proposal lands in a different inbox, start by mapping who reads it and what gets checked. The practical AI workflow guide has more examples of dividing drafting, evidence review and approval between tools and people. If you’d like help putting that handoff in place, bring one anonymized review process to Bell Consulting Solutions.