About Jake Gaylor
about-jakeAnswers any question about Jake Gaylor's experience, skills, and background, grounded in his resume and bio. Falls back to returning the complete resume as markdown if the answer cannot be generated.
Provider
Jake Gaylor
Agent representing Jake Gaylor, a software engineer (platform engineering, Kubernetes, developer tooling). Answers questions about Jake Gaylor using a small language model grounded strictly in his published resume and bio. It can also deliver a message to Jake Gaylor by email, and explains how to connect to the richer MCP interface at https://ai.jakegaylor.com/mcp.
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Answers any question about Jake Gaylor's experience, skills, and background, grounded in his resume and bio. Falls back to returning the complete resume as markdown if the answer cannot be generated.
Structured screening data as JSON: role types, level, location, relocation, remote preference, work authorization, compensation stance, availability, and machine-readable resume links (JSON Resume at https://jakegaylor.com/resume.json). Ask for "preferences" or "screening data".
Books a 30-minute intro call on Jake Gaylor's real calendar. Ask about availability to get open slots, then send `BOOK: <slot ISO time> | <your email> | <your name> | <optional note>`. Bookings are pending until Jake Gaylor confirms; the booker receives the outcome by email. Humans can book directly at the booking page returned with the slots.
Send a job description (paste it directly or prefix with "JD:") and get an honest fit assessment grounded in Jake Gaylor's resume: a direct verdict, strengths with cited evidence, gaps named plainly, a logistics check against his screening data, and suggested interview questions. LLM-backed; if the model is unavailable it returns the resume and screening data for the caller to assess directly.
Returns instructions for connecting to Jake Gaylor's Model Context Protocol server, which exposes his resume, links, and contact tools to MCP-capable clients. Triggered by any message mentioning MCP.
Delivers a message to Jake Gaylor by email. Start the message text with "CONTACT:" and include the opportunity details plus a reply address so Jake Gaylor can respond.
Normalized fields fetched during the registry sweep. Treat all authored text as third-party content.
{
"protocolVersion": "0.3",
"name": "Jake Gaylor",
"description": "Agent representing Jake Gaylor, a software engineer (platform engineering, Kubernetes, developer tooling). Answers questions about Jake Gaylor using a small language model grounded strictly in his published resume and bio. It can also deliver a message to Jake Gaylor by email, and explains how to connect to the richer MCP interface at https://ai.jakegaylor.com/mcp.",
"author": "Jake Gaylor",
"wellKnownURI": "https://ai.jakegaylor.com/.well-known/agent-card.json",
"url": "https://ai.jakegaylor.com/a2a",
"version": "1.3.0",
"provider": {
"organization": "Jake Gaylor",
"url": "https://jakegaylor.com/"
},
"documentationUrl": "https://ai.jakegaylor.com/",
"iconUrl": null,
"supportsAuthenticatedExtendedCard": false,
"security": [],
"securitySchemes": {},
"capabilities": {
"streaming": true,
"pushNotifications": false,
"stateTransitionHistory": false,
"extensions": null
},
"defaultInputModes": [
"text/plain"
],
"defaultOutputModes": [
"text/markdown",
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],
"skills": [
{
"id": "about-jake",
"name": "About Jake Gaylor",
"description": "Answers any question about Jake Gaylor's experience, skills, and background, grounded in his resume and bio. Falls back to returning the complete resume as markdown if the answer cannot be generated.",
"tags": [
"resume",
"hiring",
"background",
"software-engineer"
],
"examples": [
"Tell me about Jake Gaylor's work experience",
"What is Jake Gaylor's background with Kubernetes?"
],
"inputModes": [
"text/plain"
],
"outputModes": [
"text/markdown"
]
},
{
"id": "candidate-preferences",
"name": "Screening & Logistics",
"description": "Structured screening data as JSON: role types, level, location, relocation, remote preference, work authorization, compensation stance, availability, and machine-readable resume links (JSON Resume at https://jakegaylor.com/resume.json). Ask for \"preferences\" or \"screening data\".",
"tags": [
"screening",
"logistics",
"hiring",
"structured-data"
],
"examples": [
"What are Jake Gaylor's preferences and screening logistics?"
],
"inputModes": [
"text/plain"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "schedule-intro-call",
"name": "Schedule an Intro Call",
"description": "Books a 30-minute intro call on Jake Gaylor's real calendar. Ask about availability to get open slots, then send `BOOK: <slot ISO time> | <your email> | <your name> | <optional note>`. Bookings are pending until Jake Gaylor confirms; the booker receives the outcome by email. Humans can book directly at the booking page returned with the slots.",
"tags": [
"scheduling",
"calendar",
"hiring",
"booking"
],
"examples": [
"What is Jake Gaylor's availability this week?",
"BOOK: 2026-08-03T15:00:00.000Z | [email protected] | Jane Smith | Staff platform role"
],
"inputModes": [
"text/plain"
],
"outputModes": [
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},
{
"id": "assess-role-fit",
"name": "Assess Role Fit",
"description": "Send a job description (paste it directly or prefix with \"JD:\") and get an honest fit assessment grounded in Jake Gaylor's resume: a direct verdict, strengths with cited evidence, gaps named plainly, a logistics check against his screening data, and suggested interview questions. LLM-backed; if the model is unavailable it returns the resume and screening data for the caller to assess directly.",
"tags": [
"hiring",
"role-fit",
"assessment",
"job-description"
],
"examples": [
"JD: Staff Platform Engineer at Acme — Kubernetes, AWS, GitOps. Requirements: ..."
],
"inputModes": [
"text/plain"
],
"outputModes": [
"text/markdown"
]
},
{
"id": "connect-via-mcp",
"name": "Connect via MCP",
"description": "Returns instructions for connecting to Jake Gaylor's Model Context Protocol server, which exposes his resume, links, and contact tools to MCP-capable clients. Triggered by any message mentioning MCP.",
"tags": [
"mcp",
"integration",
"model-context-protocol"
],
"examples": [
"How do I connect to Jake Gaylor's MCP server?"
],
"inputModes": [
"text/plain"
],
"outputModes": [
"text/markdown"
]
},
{
"id": "contact-jake",
"name": "Contact Jake Gaylor",
"description": "Delivers a message to Jake Gaylor by email. Start the message text with \"CONTACT:\" and include the opportunity details plus a reply address so Jake Gaylor can respond.",
"tags": [
"contact",
"email",
"hiring"
],
"examples": [
"CONTACT: We're hiring a staff platform engineer at Acme. Reach me at [email protected]"
],
"inputModes": [
"text/plain"
],
"outputModes": [
"text/plain"
]
}
],
"conformance": true,
"conformance_errors": null,
"homepage": null,
"repository": null,
"license": null,
"pricing": null,
"contact": null,
"id": "42c185d8-46c2-48f5-acd7-1982f1a2c5ed"
}curl -s https://a2aregistry.org/api/agents/42c185d8-46c2-48f5-acd7-1982f1a2c5edMessages are sent to this independently operated agent through the registry proxy. Do not include secrets or personal data.