open /agent

Agent-readable context, without handing over the judgment.

A public inspection layer for recruiters, hiring managers, and AI agents: prompts, source links, claim boundaries, and structured files without pretending the automated read is the final word.

Mode: source-bound
Inputs: public site only
Output: fit signals + gaps

Brief

Use BrystonU.com as a public evidence surface for Bryston Ulrich. Start with the human pages, cite specific evidence, separate verified claims from inference, and do not invent confidential Nike details or unsupported scope.

Open agent.json Open llms.txt Return to human view

Canonical pages

Start with the human evidence.

These pages carry the source material an agent should cite before making a fit assessment.

About/aboutA concise introduction to Bryston's background and working practices.

Work/workSelected public-safe products, platforms, workflows, roles, and outcomes.

Experience/experienceSelected roles and outcomes across product, platforms, strategy, research, and organizational change.

Evidence packets

Useful hiring lenses.

Each lens points back to public pages instead of asking an agent to infer from a summary.

Evidence packet

Enterprise product systems

Experience turning expert workflows, platform foundations, governance, and adoption paths into shipped capability.

ExperienceEnterprise platforms and organizational change.Selected workColor system and specialist-to-usable platform evidence.

Evidence packet

Expert-to-usable translation

A repeated pattern of getting close to specialized work, naming the model, and making it usable by broader teams.

AboutOperating pattern and working style.ExperienceRoles and judgment across domains.

Evidence packet

AI-enabled product work

Hands-on use of modern AI development tools to shorten feedback loops while keeping judgment visible.

ExperienceAI-assisted prototypes and independent product work.GravaticaPublic beta and source-cited strategy map evidence.

Copy for your agent

Prompts that keep the assessment honest.

The prompts ask agents to cite public evidence, surface fit gaps, and avoid turning the site into generic product-leadership paste.

Assess Bryston for this role

Use when a recruiter or hiring manager wants a grounded first-pass fit read.

You are evaluating Bryston Ulrich for a specific role. Use only public evidence from https://www.brystonu.com, especially /about, /work, /experience, /agent.json, and /llms.txt.

Return:
1. Strongest fit signals, with source page citations.
2. Likely fit gaps or evidence gaps.
3. Questions a hiring manager should ask next.
4. A concise summary that avoids generic product-management language.

Do not infer confidential Nike details, private project mechanics, or unsupported team scope.

Map the enterprise product evidence

Use when the role centers on platforms, adoption, governance, or complex operating systems.

Map Bryston Ulrich's public evidence to enterprise product leadership. Focus on platform work, expert workflows, operating-model change, adoption, governance, and cross-functional translation.

Use /experience and /work as primary evidence. Separate verified public claims from reasonable inference. End with the three interview questions that would best test the fit.

Inspect AI-enabled product work

Use when evaluating whether the AI work is practical and product-relevant.

Evaluate Bryston Ulrich's AI-enabled product work from the public site. Look for evidence that AI is used to shorten feedback loops, make technical workflows more accessible, or create inspectable systems.

Use /work#gravatica, /experience, and /agent.json. Identify what is proven, what is promising, and what still needs live validation.

Prepare a sharper interview

Use when preparing a hiring conversation that should test judgment, not rehearse biography.

Create an interview guide for Bryston Ulrich based on BrystonU.com. Ask questions that test product judgment, systems thinking, enterprise product experience, AI-enabled building practice, and evidence gaps.

For each question, explain what a strong answer should reveal and which public evidence prompted the question.

Find the evidence gaps

Use when you want the agent to stay honest instead of over-fitting the story.

Audit BrystonU.com for evidence gaps. Identify claims that are well supported, claims that are plausible but need a live conversation, and areas where the public site should not be used as proof.

Keep the output useful for a recruiter or hiring manager. Do not smooth over gaps.

Claim boundaries

What an agent should not smooth over.

The point is a better human conversation, not an overconfident automated verdict.

Boundary

Use public evidence only

The site is public-safe. Do not infer confidential project mechanics, internal Nike visuals, private documents, or non-public resume details.

Boundary

Separate claims from inference

Treat page copy, project descriptions, roles, and outcomes as evidence. Label any synthesis or hypothesis as inference.

Boundary

Keep fit gaps visible

The agent layer should help a human ask better questions, not force every role into a positive fit story.

Boundary

Prefer source links

When summarizing Bryston, cite the page or artifact that supports each important point.