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Summaries preserve essential info while staying under context window limits."}]}]}]}]}]}]},"nodeType":"block"},{"uid":"Oo6rzV77sP","position":{"x":-1000,"y":420},"sizes":{"width":399.90625,"height":552},"autoheight":true,"blockContent":{"type":"doc","content":[{"type":"heading","attrs":{"level":2},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Advantages of This Approach"}]},{"type":"orderedList","attrs":{"start":1},"content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Consistency Over Time"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"Because each new generation references previous arcs/characters from the DB, your story remains internally consistent (names, motivations, references)."}]}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Non-Repetitive, Natural Continuation"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"Using vector search + embedding similarity ensures you don’t inadvertently re-post near-identical tweets."}]}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Rich, Expanding Universe"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"You can expand arcs, introduce new characters, or revisit old arcs. The DB always has the prior lore to keep you from “losing track” of your own universe."}]}]}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Chain-of-Thought"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"You can feed partial contexts to the LLM, letting it reason step-by-step to maintain continuity without rehashing everything from scratch."}]}]}]}]}]}]},"nodeType":"block"},{"uid":"oYwKLSfRtO","position":{"x":-540,"y":420},"sizes":{"width":399.90625,"height":428},"autoheight":true,"blockContent":{"type":"doc","content":[{"type":"heading","attrs":{"level":2},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"Practical Tips"}]},{"type":"bulletList","content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Use Summaries"},{"type":"text","text":": For large stories, feed the LLM concise summaries (or the top relevant chunks from the DB) rather than raw text."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Tag Carefully"},{"type":"text","text":": Good tagging ("},{"type":"text","marks":[{"type":"code"}],"text":"arc_id"},{"type":"text","text":", "},{"type":"text","marks":[{"type":"code"}],"text":"characters_involved"},{"type":"text","text":", "},{"type":"text","marks":[{"type":"code"}],"text":"location"},{"type":"text","text":", "},{"type":"text","marks":[{"type":"code"}],"text":"plot_points"},{"type":"text","text":") makes retrieving relevant context easier."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Check Similarity"},{"type":"text","text":": Before finalizing each new tweet batch, run a quick similarity check to avoid duplicates."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Plan Arc Overlaps"},{"type":"text","text":": If arcs overlap or re-introduce characters, mention it in the prompt so the LLM merges continuity seamlessly."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Limit Tweet Volume"},{"type":"text","text":": Large arcs can lead to hundreds of tweets. Summaries or chunking helps keep the model’s context within workable limits."}]}]}]}]},"nodeType":"block"},{"uid":"_HXtiY7fHw","position":{"x":-540,"y":150},"sizes":{"width":399.90625,"height":266.5},"autoheight":true,"blockContent":{"type":"doc","content":[{"type":"heading","attrs":{"level":3},"content":[{"type":"text","text":"Final Thoughts"}]},{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Yes"},{"type":"text","text":", prompting first for the "},{"type":"text","marks":[{"type":"bold"}],"text":"universe + arcs"},{"type":"text","text":" and then bulk-generating tweets for each arc (while storing them in a vector DB) is an excellent way to get "},{"type":"text","marks":[{"type":"bold"}],"text":"cohesive"},{"type":"text","text":" and "},{"type":"text","marks":[{"type":"bold"}],"text":"non-repetitive"},{"type":"text","text":" storylines. Tagging tweets by arc and characters ensures that you can "},{"type":"text","marks":[{"type":"bold"}],"text":"chain"},{"type":"text","text":" your prompts in future arcs, letting the AI “remember” what’s already happened—and keep the narrative consistent and engaging."}]}]},"nodeType":"block"},{"uid":"wOvb4QTCxK","position":{"x":-1010,"y":150},"sizes":{"width":399.90625,"height":210.5},"autoheight":true,"blockContent":{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Absolutely—this is a "},{"type":"text","marks":[{"type":"bold"}],"text":"great"},{"type":"text","text":" approach if you want "},{"type":"text","marks":[{"type":"bold"}],"text":"consistent"},{"type":"text","text":" story arcs, world-building, and character continuity over many tweets. The method you’re describing is essentially a "},{"type":"text","marks":[{"type":"bold"}],"text":"multi-stage (or chain) prompting"},{"type":"text","text":" workflow combined with a "},{"type":"text","marks":[{"type":"bold"}],"text":"knowledge base"},{"type":"text","text":" (the vector database) for long-term memory. Below is a suggested process and why it makes sense:"}]}]},"nodeType":"block"},{"uid":"FAiQhNrs1B","position":{"x":1810,"y":1140},"sizes":{"width":399.921875,"height":133.5},"autoheight":true,"blockContent":{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Prompt 7:"}]},{"type":"paragraph","content":[{"type":"text","text":"Summarize all Arc stories into Season."},{"type":"hardBreak"}]}]},"nodeType":"block"},{"uid":"VwX7qK2jp4","position":{"x":1260,"y":1110},"sizes":{"width":399.921875,"height":182.5},"autoheight":true,"blockContent":{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","marks":[{"type":"bold"}],"text":"Prompt 8:"}]},{"type":"paragraph","content":[{"type":"text","text":"Generate a new batch of arcs and stories based on previous arc stories, and season summary."}]},{"type":"paragraph","content":[{"type":"text","text":"As well as the original background to the character and universe."}]}]},"nodeType":"block"},{"uid":"wl3VMoF1v1","position":{"x":-780,"y":-310},"sizes":{"width":399.921875,"height":296.5},"autoheight":true,"blockContent":{"type":"doc","content":[{"type":"paragraph","content":[{"type":"text","text":"Chain these prompts:"}]},{"type":"orderedList","attrs":{"start":1},"content":[{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"Start with Prompt 1 to set the character."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"Prompt 2 to flesh out the backstory and universe."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"Prompt 3 to outline story arcs."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"Prompt 4 to generate tweets for each arc."}]}]},{"type":"listItem","content":[{"type":"paragraph","content":[{"type":"text","text":"Use Prompt 5 to create arc 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