HALOJournalTHINKING, IN PUBLIC.
← All publicationsHALO JOURNAL / ARTICLE

Article / Human–AI Collaboration

A coherent plan for the wrong problem

A shared product discussion made a broader touring service plausible. Narrowing the plan took outside feedback—and further work on the product.

The plan had a sensible progression. Help an artist assemble the information a venue needs. Use the tour itinerary to identify further requirements. Then connect those requirements to providers of equipment and transportation.

Bookerish already dealt with touring and venues. A broader tour-services system could be described as an extension of work close at hand. Artist information could support venue conversations; the same information could also support requests for rental equipment. A route could help arrange performances and help specify a charter coach. Each connection gave the next one a reason to exist.

In June 2026, I brought two proposals developed with ChatGPT into a Cursor discussion: tour readiness and backline equipment, and entertainer-coach requests. Backline is the equipment musicians may use at a performance—amplifiers, drums and other gear that might belong to the act, the venue or a rental provider.

My instruction was to discuss the proposals before making code changes. Were they actionable? Did they add something useful to Bookerish? Had we thought them through?

Cursor found a coherent architecture. It described readiness information as a foundation and procurement as a further use of it. A shared request-for-quote system could serve several kinds of vendor. Artist profiles, technical documents, itineraries and hold requests could fit together. It also identified missing capabilities: parts of this would be new work, not merely switching on features already present.

That response did something useful and something insufficient at the same time. It made the proposal easier to understand. It did not establish that this was the problem Bookerish needed to take on.

The expansion was shared. I had brought the ideas, asked how they could fit and explored the connections. The model helped elaborate them. There was no simple division in which an AI invented an unwanted project and a human eventually restored common sense.

Then I brought another conversation into the discussion, this time with a touring contact.

The feedback I pasted was simpler than the architecture we had been considering. Did an act have its own gear? Would it need to rent some? Could it use the venue's backline? Those questions were closer to the immediate conversation between an artist and a venue than a procurement system spanning equipment and charter transportation.

The contact did not claim firsthand backline-rental expertise. This was neither a market survey nor independent validation of a product strategy. It was feedback from one person, presented through my account of the exchange. Its usefulness was in making me reconsider how much of the surrounding work Bookerish actually needed to own.

The distinction became concrete at the hold request: an artist asking a venue to reserve a possible performance date. Asking whether backline was available could belong in that exchange. Building a system to solicit and coordinate rental suppliers was a much larger undertaking. Likewise, a venue conversation might need to cover access or parking without Bookerish arranging the act's transportation.

I agreed that charter-bus booking and backline procurement were out of scope. A simpler venue question could remain. The conversation also retained a lighter version of tour readiness: information that could help an artist and venue communicate, without turning every need revealed by that information into a service Bookerish would provide.

Cursor reported updating the planning documents around that narrower direction. It marked the procurement proposals as out of scope and described a phased plan for the remaining work. Those documents were reported as local and uncommitted.

That was a decision and a planning change. It was not yet a completed product correction.

On July 3, I was testing the voice tour planner and reported that it was still asking about bus tours. We had already decided Bookerish would not offer chartering. The question had survived the decision to remove the service from scope.

The subsequent code change removed bus charter from selected voice-planner prompt and audio-generation scripts. But the conversational behavior also depended on synchronizing the external voice service. A revised file was not proof that every live surface had changed, and the record does not establish delivery of the entire simplified readiness workflow.

The residual question matters because it prevents a convenient ending. We did not receive feedback, simplify the plan and instantly acquire a simpler product. The decision had to travel into instructions, interfaces and deployed behavior. Some of that work was still necessary after the architectural argument had been settled.

The broader services fit together; the smaller product left more work with artists and venues. A diagram of connected capabilities could not choose between them.

Continuous discussion made the proposal more detailed and persuasive before its underlying need had been sufficiently tested.

The correction was narrower than a verdict against tour services, AI-assisted planning or ambitious products. In this case, an outside conversation helped change the work we were willing to take on. The later bus question showed how much remained between agreeing on that boundary and making the product live within it.

About this publication

A shared Bookerish product discussion made a broader touring service plausible. Feedback from one touring contact helped narrow the scope, while a later voice-planner test showed that the decision had not yet reached every product surface.

Project context: HALO Journal — Issue No. 1 / 02 of 07, Bookerish

SHARE THIS

LinkedInRedditFacebook