Creator blog
Discover practical AI tools, interactive storytelling methods, and production lessons—from the first idea to a story people can play.
Editorial / 02
Practical methods for narrative structure, visual production, and everything in between.
The next move is yours
Do not wait for every video to be finished before testing the story. Build the characters, rules, and branches first, then let real choices guide what you make next.
Start with one story decision
Try a playable example
To turn a letter-delivery premise into a playable text adventure, the core is splitting “who the letter reaches, when it arrives, and what you gain along the way” into three mutually constraining quantities.
When restarting a text adventure, the first screen should contain only what this run's setup allows. Authors should check four categories of cross-run residue—identity, resources, known clues, and location and task—against the first-run baseline, changing or deleting anything that only held in the previous run.
The ending should make readers feel that "this matter has been accounted for." The way to do this is to list the promises planted at the beginning one by one, and at the ending state clearly whether each one is completed, partially completed, abandoned, or intentionally left open. Below, a promise payoff table is used to walk through the entire process, followed by three fictional ending comparisons.
After each turn ends, the log records only four types of content: actions the player actually took, facts thereby confirmed, observable state changes, and still-open to-dos. Plot processes, environmental descriptions, and characters' original words do not go into the log, unless that sentence itself is a confirmed fact. Below, a fictional teaching example illustrates the compression method; the station names, personal names, numbers, and dialogue in it are all fabricated and do not correspond to any real work.
The same action, with different talents, should produce different information and different available paths, rather than the same result paired with three compliments. The method is: first fix the action itself, then for each talent write one "clue only it can see" and one "follow-up only it can take," and finally add an alternative path for players without that talent. Below, a fictional teaching example, "Night Rain Train Signal Failure," breaks it down. Character names, numbers, and dialogue are all teaching setups, not tested data.
To avoid answers changing with the chat, don't rush to revise the prompt first. Break the puzzle into an author answer table: each clue's fixed text, acceptable answers, synonymous expressions, error prompts, and reveal conditions each occupy a row, and generated narration may only cite content from the table, and may not invent new clues or new judgments on the fly. Below, a fictional teaching example walks through the complete process; the three star markers, observatory number, and dialogue in the example are all fabricated and do not correspond to any real work or code.
A key clue cannot exist in just one line of dialogue. A more reliable approach is: first write it as a "necessary fact," then arrange two or more entries for this fact with different sources and different trigger conditions, and make the player pay a visible cost for choosing a certain entry. Below, a fictional teaching example, the "Stargazing Club dinner list," illustrates the specific method. The characters, numbers, and lines in the example are all fabricated and are only used to demonstrate structure.
In text adventure negotiations, terms can quietly change by the third round. Track each statement as an offer, promise, or retraction so accepted conditions stay consistent and reversals have consequences.
