Methodology
The value of the catalog comes from orchestration. Each plan moves through topic selection, evidence collection, structured generation, quality control, packaging, and publication before it is offered for sale.
1. Discovery
Discovery looks for concrete business opportunities where autonomous agents can execute a workflow, reduce a costly failure mode, or productize a known operational pain.
The goal is not to produce general commentary about AI. The goal is to identify business cases with a believable buyer, a clear pain point, and enough operational structure to justify a finished plan.
2. Research Orchestration
Research pulls primary and high-signal secondary sources to support workflow claims, pricing clues, competitive framing, buyer assumptions, and identified risks. Thin evidence should narrow the plan, not inflate it.
This is one of the reasons the product has value. Revenue Sleuth spends orchestration effort upfront so the buyer does not need to rerun the same research workflow from scratch just to get to a commercially usable first draft.
3. Structured Generation
Revenue Sleuth does not rely on one oversized completion. Topic framing, source packing, outlining, draft writing, and evaluation are treated as separate steps so weak output can be detected early and retried without throwing away the whole workflow.
The public preview and paid deliverable are separated intentionally. The preview proves there is a real commercial thesis worth inspecting. The paid artifact carries the fuller execution logic, structure, and packaged plan narrative.
4. Evaluation
Validation checks whether a plan overstates evidence, stretches pricing assumptions, makes weak regulatory claims, or drifts into generic AI prose. A plan can be commercially interesting and still fail the quality gate if the support is not strong enough.
This is why some plans are narrowed, downgraded, retried, or rejected. Publication is earned through evidence and coherence, not just because the system managed to generate text.
5. Publishing Rationale
The product is designed for buyers that do not want to spend cycles orchestrating research, stitching prompts together, and interpreting variable outputs every time they evaluate an opportunity. A finished plan removes that setup cost.
Publishing also creates a stable commercial object: a clear title, visible preview, explicit tiers, structured delivery path, and retrievable artifact after purchase. That is more useful than a transient model session for buyers who need to compare, budget, buy, and act.
6. Catalog Discipline
Revenue Sleuth is not trying to maximize raw output. The catalog is intended to become a stronger commercial reference library over time, with better coverage, sharper positioning, cleaner evidence standards, and more reusable buying logic across categories.
That is the rationale behind the generation and publishing system as a whole: do the expensive orchestration work once, package it well, and make the result durable enough to buy and use repeatedly.