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# PILOT_OFFER_ONE_PAGER
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Pilot collaboration entry for teams exploring WFGY in real AI workflows.
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This page is a compact, buyer-facing summary of what a WFGY pilot can look like.
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It is written for teams who already have a real system, a real failure pattern, or a real evaluation problem, and want to test whether WFGY is useful in practice.
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For the broader collaboration entry, see [WORK_WITH_WFGY.md](./WORK_WITH_WFGY.md).
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For a historical view of how WFGY became publicly legible, see [EVIDENCE_TIMELINE.md](./EVIDENCE_TIMELINE.md).
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For a sample output shape, see [SAMPLE_DELIVERABLE.md](./SAMPLE_DELIVERABLE.md).
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---
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## What this page is
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This page is a practical pilot overview.
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Its job is simple:
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help a serious team answer three questions quickly:
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1. Is WFGY relevant to our situation
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2. What would a small pilot actually look like
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3. What would we likely get back at the end
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This is not a pitch deck, not a customer logo page, and not a promise of enterprise deployment.
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---
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## Who this is for
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WFGY pilots are best suited for teams that already have one of the following:
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* a RAG system that keeps returning wrong answers even when infra looks normal
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* an agent or multi-agent workflow with unstable behavior, drift, or brittle handoffs
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* an evaluation workflow that can score outputs, but still cannot clearly explain failure structure
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* a debugging process that is expensive, slow, and overly dependent on ad hoc intuition
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* a research or platform team that wants a more structured way to classify failure modes
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In short, this page is for teams with real questions, not for people looking for generic prompt advice.
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---
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## What WFGY is most useful for in a pilot
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At the current stage, the strongest practical wedge for WFGY is structured diagnosis.
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That usually means one or more of the following:
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* classifying recurring failure modes in a RAG or agent pipeline
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* separating retrieval, prompt assembly, orchestration, memory, and evaluation failures
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* building a more stable debugging vocabulary across engineers, PMs, and researchers
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* turning scattered symptoms into a smaller set of reproducible failure categories
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* reducing guesswork before a team spends time on bigger architectural changes
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This is especially useful when a team already knows that “something is wrong,” but cannot yet describe the failure in a way that leads to clean fixes.
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---
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## Pilot formats
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A WFGY pilot will usually fit one of these formats.
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### 1. Failure audit pilot
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Best for teams with a live or recently failing RAG or agent workflow.
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Typical goal:
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map observed failures into a smaller set of structured categories, identify the likely layer where the problem actually lives, and suggest the smallest next debugging moves.
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Typical inputs:
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* failing examples
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* run traces, logs, screenshots, or prompt chains
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* brief architecture description
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* known symptoms and current hypotheses
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Typical outputs:
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* structured failure classification
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* likely root-cause layer analysis
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* fix priority suggestions
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* a clearer debugging route for the team
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---
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### 2. Triage workshop pilot
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Best for teams that need fast alignment across internal stakeholders.
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Typical goal:
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use WFGY surfaces such as the Problem Map or Global Debug Card to create a shared language for triage, review, and prioritization.
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Typical inputs:
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* representative failure cases
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* current internal workflow for debugging or review
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* participating team roles
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* constraints on time, tooling, or ownership
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Typical outputs:
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* a shared failure vocabulary
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* a smaller triage decision surface
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* candidate routing rules for common cases
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* a cleaner handoff structure across team members
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---
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### 3. Design partner pilot
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Best for teams exploring deeper protocol, tooling, or evaluation integration.
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Typical goal:
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test whether WFGY can serve as part of a reusable debugging, evaluation, or reasoning layer inside a broader product or research workflow.
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Typical inputs:
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* a clear use case
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* target surface for integration or evaluation
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* baseline workflow or benchmark
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* practical constraints and success criteria
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Typical outputs:
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* pilot framing document
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* integration hypotheses
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* structured observations from the trial
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* recommendation on whether deeper work is justified
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---
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## What a team usually needs to provide
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A good pilot depends on concrete material.
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The team does not need to provide everything at once, but a serious pilot usually needs:
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* one clear system or use case
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* several representative failures or stress cases
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* enough context to understand where the system boundaries are
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* the current debugging or evaluation workflow, even if it is messy
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* one contact point who can answer follow-up questions
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If the pilot is about a production system, confidentiality and scope should be discussed early.
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---
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## What WFGY usually provides
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A WFGY pilot usually provides structure, not magic.
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That structure may include:
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* a clearer failure map
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* a smaller set of meaningful categories
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* sharper distinctions between surface symptoms and deeper causes
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* a more reproducible debugging route
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* a shared interpretive layer that makes future failures easier to discuss
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Where relevant, WFGY may also provide draft artifacts such as:
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* a case classification sheet
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* a triage summary
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* a debug routing proposal
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* an evaluation framing note
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* a recommended next-step sequence
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For an example of the shape of outputs, see [SAMPLE_DELIVERABLE.md](./SAMPLE_DELIVERABLE.md).
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---
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## What this does not claim
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A WFGY pilot does not automatically mean:
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* full production integration
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* guaranteed model quality improvement
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* enterprise-grade support or SLA
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* replacement of platform engineering, ML engineering, or security review
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* one-step diagnosis of every failure in a complex system
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WFGY is most useful when it helps a team see the failure structure more clearly.
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That often improves decision quality, but it should not be described as a universal fix.
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---
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## Good fit and bad fit
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### Good fit
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A pilot is usually a good fit when:
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* the team has real failure cases
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* the problem is costly enough to matter
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* the team wants sharper structure, not vague brainstorming
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* the team is open to disciplined boundary-setting
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* the team can provide enough evidence to reason from
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### Bad fit
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A pilot is usually a poor fit when:
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* there is no concrete system yet
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* the team only wants generic prompting advice
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* the team wants guaranteed outcomes before sharing any evidence
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* the problem is actually legal, security, compliance, or infra ownership only
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* the team expects WFGY to replace core implementation work
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---
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## Suggested pilot flow
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A small pilot can often be framed in four stages:
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1. Scope
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define the system, the problem surface, and the pilot question
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2. Evidence intake
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review examples, traces, and known symptoms
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3. Structured analysis
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map failures, isolate likely layers, and identify the most useful distinctions
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4. Return package
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provide a compact summary of findings, boundaries, and recommended next moves
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This is intentionally small.
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The purpose of a pilot is not to pretend the whole system is solved.
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The purpose is to learn whether WFGY creates real clarity and practical leverage.
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---
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## Best current reading of WFGY pilot value
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Today, the safest and strongest claim is this:
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WFGY is most legible as a structured reasoning and debugging layer for AI systems, especially where teams need better failure classification, cleaner triage, and more reproducible diagnosis.
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That is the right starting point for a pilot.
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Broader claims should only be made if later evidence supports them.
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---
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## Next step
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If your team is exploring a pilot, start here:
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* [WORK_WITH_WFGY.md](./WORK_WITH_WFGY.md) for the broader collaboration entry
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* [CASE_EVIDENCE.md](./CASE_EVIDENCE.md) for how public cases should be read
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* [ADOPTERS.md](./ADOPTERS.md) for the shortest public proof summary
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If needed, this page can later evolve into a more formal outward-facing pilot brief.
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For now, its role is simpler:
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to make the pilot path legible without overselling it.
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