I’m just getting into building tools for AI personas in Discourse, in part so I can really focus on it; this seems like it’s very useful given how many useful and public APIs there are!
For instance, I’m getting results such as:
Understanding Decision-Making Through Poker Strategies AI
maiki:
Create an infocard for Breath of the Wild.
gpt-4o:
Here is an information card for “The Legend of Zelda: Breath of the Wild”:
Title: The Legend of Zelda: Breath of the Wild
Developer: Nintendo
Publisher: Nintendo
Release Date: March 3, 2017
Platforms: Nintendo Switch, Wii U
Genre: Action-adventure
Mode: Single-player
Synopsis:
Set in a vast open world, players control Link, who awakens from a deep slumber to defeat Calamity Ganon and save the kingdom of Hyrule. The game is praised for its immersive environment, allowing players to explore and interact freely with the world and its systems.
Awards:
The game has won numerous awards, including several Game of the Year accolades, for its innovative design, expansive world, and enchanting gameplay.
More information: Wikidata Entry
“Breath of the Wild” is renowned for redefining open-world games and delivering a captivating experience that encourages exploration and discovery.
maiki:
The same for Animal Crossing: New Horizons.
gpt-4o:
Here is an information card for “Animal Crossing: New Horizons”:
Title: Animal Crossing: New Horizons
Developer: Nintendo
Publisher: Nintendo
Release Date: March 20, 2020
Platform: Nintendo Switch
Genre: Social simulation
Mode: Single-player, Multiplayer
Synopsis:
In this charming social simulation game, players assume the role of a customizable character who relocates to a deserted island after purchasing a package from Tom Nook. The game allows for real-time exploration, resource gathering, crafting, and customization, fostering a communal and relaxing gameplay experience.
Awards:
The game was acclaimed for its creative freedom and timing of release, receiving accolades for Game of the Year and its contributions to social gaming during the global pandemic.
More information: Wikidata Entry
“Animal Crossing: New Horizons” became a cultural phenomenon, celebrated for its engaging social features and stress-relieving gameplay during challenging times.
maiki:
A long way from Chicago
gpt-4o:
Here is an information card for the book “A Long Way from Chicago”:
Title: A Long Way from Chicago
Author: Richard Peck
Publication Year: 1998
Genre: Historical Fiction, Young Adult
ISBN: 978-0141303529
Synopsis:
This Newbery Honor-winning novel is a series of short stories chronicling the annual summer trips of Joey and his sister Mary Alice from Chicago to a rural Illinois town to visit their larger-than-life Grandma Dowdel during the late 1920s and 1930s. Each chapter presents an amusing and poignant episode that imparts life lessons amidst the backdrop of the Great Depression.
Awards:
The book was awarded a Newbery Honor in 1999 and is celebrated for its humor, depth, and portrayal of rural American life during the early 20th century.
More information: Wikidata Entry
This book is appreciated for its nostalgic and heartwarming storytelling, capturing the essence of familial bonds and simpler times.
maiki:
Thinking in Bets
gpt-4o:
I previously found the Wikidata entry for “Thinking in Bets,” but I’m unable to retrieve further specific details directly from Wikidata at the moment. However, here is a brief card based on available information:
Title: Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts
Author: Annie Duke
Publication Year: 2018
Genre: Non-fiction, Decision Making, Psychology
ISBN: 978-0735216358
Synopsis:
The book leverages insights from poker to help readers understand decision-making under uncertainty. Annie Duke, blending her experiences as a professional poker player and cognitive psychologist, offers a framework for making smarter decisions, evaluating outcomes, and adopting a probabilistic mindset.
More information: Wikidata Entry
For detailed insights, you might consider checking additional resources or databases pertaining to book publications.
Okay, so that’s fine, but I noticed this description…
…and wonder: should I be building my prompts referring directly to those tools, for efficient use?
My general approach to prompt-writing is to refine over time and then lock onto a pattern of behavior I wish for the AI tooling to adopt. However, if I could add specific instructions on, for instance, when to lookup a Wikidata entity, and when to list all claims of a particular entity (two different APIs), then I feel I could refine the entire workflow to flow as I intend… 