MapTap: earlier goals, learning approach, and creative ideas

Session summary prepared October 21, 2026.

Purpose of this document

This document captures the earlier discussion that preceded the practice game’s implementation. It complements MapTap_Project_Handoff.md, which emphasizes the delivered game and the requested satellite imagery and zoom changes. It can support separate future conversations about learning geography, researching MapTap, or developing the literary and imaginary-map game.

Statements about Brian’s goals and observations come from this conversation. Questions about MapTap’s archives, selection algorithm, identity tracking, or another player’s preparation remain questions unless explicitly identified as verified findings.

Starting point: the daily executive game

Brian plays MapTap daily with other executives at Bellese. He regularly finishes behind the CEO and COO, often by 50-100 points, and later described his typical score as about 850-870. He described the COO as frequently scoring 95% or higher.

Competition helped spark the idea, but Brian wants the activity to produce lasting learning. He is willing to study geography for three years, including after leaving the company. He also observed that finishing a solid third might be politically comfortable. Winning is not the only measure of value.

Brian wondered whether additional practice might help explain the COO’s performance. The conversation did not establish how the COO prepares or what accounts for his scores.

Central learning goal

Learn where cities sit on the actual Earth: their relationship to coastlines, landmasses, islands, mountains, lakes, rivers, and oceans.

MapTap’s sparse satellite globe removes the familiar labels, roads, and political boundaries used in many maps. Brian wants geographic knowledge that remains useful when those aids disappear. He emphasized the practical risk of knowing a city roughly but placing it on the wrong coast or side of a landmass.

This is also useful knowledge outside the game. Brian does not want the only outcome to be another score or proof of intelligence. Fun, repetition, and durable learning can support each other.

Mechanics and deliberate practice

The game presents a city and country, a globe that can be rotated and zoomed, and a tap used to guess a location. It reports proximity and a score.

Brian is already comfortable rotating, zooming, and tapping. His description of those mechanics explained the conditions under which his geography knowledge is tested. It was not a request for a separate motor-skills training program.

His principle is that practice should resemble the conditions of performance closely enough for learning to transfer. That is why the imagery matters. The original flat-map drill was acceptable as a simple starting point, but he subsequently clarified that satellite imagery resembling MapTap would provide better transfer than the colored relief images initially supplied.

Why additional repetitions matter

The daily game offers only about five locations. That produces too few repetitions to build recall quickly, particularly for very large countries.

Brian considered roughly 25 practice attempts per day reasonable and later described doing five short sessions consecutively. The immediate practice concept is rote mnemonic drill: see a target, attempt its location, receive correction, repeat.

He wants enough freedom to keep practicing when time and interest permit. Daily limits and waiting for tomorrow’s puzzle frustrate that purpose.

Atlases and physical study

Brian ordered the National Geographic Road Atlas Adventure Edition covering the United States, Canada, and Mexico. He also preordered a world atlas at a 25% birthday discount and has a magnifying glass for detailed study.

He enjoys working things out from an atlas and is willing to continue doing so. His examples included locating a city such as Cedar City through its position relative to mountains and other physical features, while noticing that arbitrary state boundaries do not offer the same kind of natural anchor.

The practice app supplements that study by providing recall attempts and feedback. The atlas and magnifying glass are part of the learning approach, not a problem the software needs to eliminate.

Initial exploration: existing practice before building

The first question was whether MapTap already offered enough practice to meet this need. Brian did not initially require a recreation of the game.

He wanted to know whether old daily challenges could be replayed, whether an archive existed, and whether he could do many challenges in one sitting. If previous targets were unavailable, generating suitable practice targets was acceptable.

Existing practice raised a few concrete questions: how often he could play, whether it cost anything, which kinds of locations were included, and how closely a practice mode resembled the daily challenge. Labels such as major cities or capitals were only useful if their meaning and relevance were clear.

He also considered creating a MapTap account and using it consistently on his phone so daily achievements would remain associated with him. The conversation did not configure an account or verify his browser’s authentication or storage behavior.

Understanding MapTap’s construction

Brian asked to examine how the public website was connected and built, including JavaScript, HTML, CSS, globe rendering, geographic services, and possible API calls.

He is comfortable with wiring geographic APIs together. Reusing an appropriate rendering component or service could be a practical route to a small practice tool. He did not ask for a large architecture exercise before understanding the available pieces.

He suspected daily targets might combine randomization or seeding with human editorial choices. He cited a remembered September 11 target associated with Shanksville as an example of a possible date-related selection. That was his observation and hypothesis; the discussion did not establish the selection algorithm.

He also noticed that the site appeared to retain his identity or results across openings on his phone. The exact mechanism was not investigated.

Later in the session, public MapTap pages and its scoring FAQ were reviewed. Its JavaScript bundles, imagery provider, API endpoints, and exact scoring source were not inspected. A future technical session should establish those details rather than assume they are already known.

Features that were incidental

Brian shares daily scores to an executive group chat. Replicating that sharing workflow was not needed in his practice app.

Accounts, leaderboards, subscriptions, and elaborate gamification were not the purpose of building the drill. His essential loop is a location prompt, a geographic guess, useful correction, and another repetition.

The name “TapTap practice app” arose playfully during ideation. The delivered project later used “MapTap Remedial Drill.” No final branding decision was required.

Archive research and focused study

As the discussion became more concrete, Brian identified Brazil, China, Australia, and Russia as the countries most likely to damage his score because large errors remain possible even when he recognizes the country.

He asked whether the archives could reveal the cities most likely to have appeared in those countries. Historical frequency would help focus learning. Previous-game data might also reveal recurring targets or editorial criteria, although the usefulness of practice did not depend on proving such a pattern.

The session carried forward five cities per country into the study maps and game. The visible record contains no frequency counts or reproducible archive analysis demonstrating that those lists are the most common historical targets. They should be described as the current practice selections.

The follow-on study request was a map of each country showing those five cities so he could learn relative placement. That led to the PDF and then the playable drill.

Transition to the remedial game

Brian requested a simple browser game built with JavaScript and the four country maps, with one location from each country per session. He wanted to repeat sessions freely, including several consecutively, for mnemonic reinforcement.

The essential interaction was tapping coordinates and receiving distance-based feedback. Fancy presentation and full globe recreation were unnecessary. Zoom was initially unnecessary; his later request explicitly adds it.

The delivered game contains four rounds, immediate corrections, a session score, the ability to repeat the identical set, and the ability to generate a new random set. Its implementation details and current shortcomings are recorded in MapTap_Project_Handoff.md.

Latest visual clarification

When Brian originally said “topographic,” he meant the satellite-like view seen in MapTap. The assistant instead produced colored shaded-relief imagery.

Brian likes that imagery and associates it with a globe his grandfather owned during his childhood. He nevertheless wants imagery closer to MapTap because similarity will help him translate practice into performance.

He also requested zoom controls that work on phones and laptops, including more than one control mechanism. Satellite imagery and zoom remain requested changes, not features already present in the delivered ZIP.

Separate future game: imagined and literary places

Brian’s initial ideation also produced a different game concept: geographical trivia using imagined places, mythology, fantasy worlds, and literary settings.

One possible structure presents four maps. The player first selects the relevant map, then selects the place within it. Successive correct decisions could earn points. A spinning Earth globe is not required for this concept.

Potential categories include mythical or fantasy locations and literary geography in Britain, America, France, or elsewhere. Real-world literary questions might ask where a work is set, such as identifying London for Oliver Twist.

Those maps could include cities and labels because the knowledge being tested differs from the satellite geography drill. Difficulty could increase across questions, initially using familiar settings before asking for more demanding distinctions.

The details remain exploratory. The session did not settle question format, scoring, map assets, content sources, or a development schedule for this separate game.

Personal and professional value of making things

Brian sees an additional benefit in turning these ideas into a working artifact. Sharing something he built could demonstrate creativity and execution to current or potential employers and professional connections.

He described strengths in wordplay, combining unrelated ideas, and logically sequencing them into execution. The broader principle he articulated was to use the skills and tools already available and put work into the world.

He discussed publishing or sharing something internally at work perhaps weekly and maintaining a separate creative rhythm, ideally daily. These were aspirations, not scheduled tasks or commitments established by this session.

He also described gradually getting work under control and exercising creative abilities that had been dormant. Turning 60 prompted questions about continuing to learn, create, and make work with value. The game ideas belong to that larger effort as well as to geography practice.

Boundaries for future conversations

The geography study plan, historical-target research, remedial game implementation, and literary/fantasy game are related but distinct threads. A future session can focus on any one without requiring work on the others.

Brian favors short, iterative discussion at the abstraction level of his current question. He repeatedly objected to excessive detail, unexplained feature names, premature constraints, and broad implementation plans during ideation. He specifically asked earlier in this discussion to avoid numbered conversational responses and proceed gates.

When a downloadable deliverable is requested, provide a normal clickable file link. A generated file that is not visibly accessible does not meet his need.