Context assets
Wiki packs become reusable context objects instead of one-off prompt folders.
Ask naturally; the system routes to topic packs and exposes the source-backed reasoning path.
Grounded answer packet
1. Recommendation
2. Lens route and reasoning path
3. Wiki pages and source caveats
4. Saved decision note
Wiki packs become reusable context objects instead of one-off prompt folders.
The question selects the relevant packs; users do not need to pick an expert mode first.
Every response shows the lens route, pages used, caveats, and next move.
JanitorAI proves that reusable context objects can drive repeat usage. This version swaps fictional characters for serious Wiki Lens Packs that help with product, pricing, founder decisions, and agent design.
Available Lens Packs
Direct answer
Use Pricing Power + Agent Builder before giving advice. The product should answer the user's question directly, then show which wiki context shaped the answer.
Reasoning path
Wiki pages used
Caveats and next move
Create a saved decision note with the routed lenses, cited pages, caveats, and the user's final choice.
The user experience stays as simple as a chat box. The differentiation happens behind the answer: curated Wikis route, constrain, and cite model reasoning.
The user asks directly. They do not need to choose a theme, folder, or expert mode before writing the question.
The router selects the smallest useful set of Wiki Lens Packs, such as First Principles, Pricing, or Product Taste.
The answer shows the lens route, reasoning path, wiki pages used, caveats, and the next move to save.
These are not bots pretending to be famous people. They are structured knowledge packs with pages, sources, usage boundaries, and decision templates.
Reduce a vague decision to constraints, primitives, and falsifiable assumptions.
Review product surfaces through clarity, density, hierarchy, trust, and taste.
Turn willingness to pay, packaging, proof, and switching cost into a pricing decision.
Judge a move by opportunity cost, operating leverage, cash flow, and compounding learning.
Separate model, tools, memory, workflow, evaluation, and user-facing failure modes.
The first sale can still be a downloadable Wiki Pack. The recurring product is Hosted Ask over many premium Lens Packs and private user Wikis.
Universal Ask demo, a few public Lens Packs, and SEO pages for high-intent concepts.
Downloadable Wiki Context Packs for Obsidian, Markdown, and prompt workflows.
Subscription access to premium Lens routing, saved decisions, and private user Wikis.
The first version should prove the interaction and the product story. Real retrieval, accounts, payments, creator submissions, and private uploads can come after the Lens metaphor works.