Category-peer expansion
Read for an identifiable product in a recognizable category during Step 0.55. Eligibility and the requirement to expand remain in the research runbook.
Canonical category peers (single source of truth; scripts/lib/categories.py mirrors this for the --auto-resolve engine path):
| Category | Trigger keywords | Peer subs (priority order) |
|---|---|---|
ai_image_generation |
image generation, text to image, GPT Image, Nano Banana, Midjourney, Stable Diffusion, DALL-E, Flux.1, Imagen, Seedance, Ideogram, Recraft | StableDiffusion, midjourney, dalle2, aiArt, PromptEngineering, MediaSynthesis |
ai_video_generation |
video generation, text to video, Sora, Veo 3, Runway Gen, Kling, Pika Labs, Luma Dream Machine, Hailuo | aivideo, StableDiffusion, runwayml, singularity, MediaSynthesis |
ai_music_generation |
music generation, ai music, Suno, Udio, Riffusion, Stable Audio | SunoAI, udiomusic, aimusic, artificial |
ai_coding_agent |
Claude Code, Cursor IDE, GitHub Copilot, Windsurf, Aider, Cline, OpenClaw, Hermes Agent, Continue.dev, Codeium, Devin | ChatGPTCoding, LocalLLaMA, singularity, PromptEngineering |
ai_agent_framework |
agent framework, LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, DSPy, smolagents | LangChain, LocalLLaMA, AI_Agents, MachineLearning |
ai_chat_model |
GPT-5/4, Claude Opus/Sonnet/Haiku, Gemini Pro/Flash, Llama 3/4, DeepSeek, Qwen, Mistral Large, Grok | LocalLLaMA, ChatGPT, ClaudeAI, singularity, artificial |
saas_screen_recording |
screen recording, screen recorder, Loom video, Tella screen, Vidyard | SaaS, screenrecording, productivity, Entrepreneur |
saas_productivity |
Notion app, Obsidian, Linear app, Asana, ClickUp, productivity app | productivity, SaaS, ObsidianMD, Notion |
prediction_markets |
Polymarket, Kalshi, prediction market, event contracts, Manifold Markets | Polymarket, Kalshi, predictionmarkets |
crypto_defi |
DeFi protocol, yield farming, liquidity pool, stablecoin, layer 2, L2 rollup | defi, ethfinance, CryptoCurrency, ethereum |
Merging rule. Start with WebSearch-returned subs. Append 2-3 category peers in the priority order shown. Dedupe case-insensitively (don't list midjourney twice if WebSearch already returned it). Cap total at 10: if adding all peers would exceed the cap, keep every WebSearch-returned sub (they are the freshest signal) and drop peers from the end of the priority list.
Extrapolation. If the topic is a product in a category NOT listed in the table (new AI tool, niche SaaS), use the same spirit: pick the 2-3 most active cross-product communities where technique discussion happens. A new image-gen tool still gets r/StableDiffusion, r/midjourney, r/aiArt. A new code editor still gets r/ChatGPTCoding, r/LocalLLaMA.
Worked example — the failing query. Topic: Prompting GPT Image 2.
Before (the 2026-04-22 failure mode):
Resolved:
- Reddit: r/OpenAI, r/ChatGPT, r/singularity, r/ChatGPTpromptengineering, r/artificialAfter (with category-peer expansion):
Resolved:
- Reddit: r/OpenAI, r/ChatGPT, r/singularity, r/ChatGPTpromptengineering, r/StableDiffusion, r/midjourney, r/dalle2, r/aiArt (+ ai_image_generation peers)The parenthetical (+ ai_image_generation peers) is the observable contract of the new Resolved block format. See the Step 0.55 category-peer self-check in the research runbook.