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AI Skill Report Card

Generating Corporate Gig EPKs

A-84·Aug 3, 2026·Source: Web

Quick Start14 / 15

Collect artist data using the schema below, then generate a one-to-two-page EPK structured for talent buyer skimmability (10-15 second scan time). Lead with compliance/risk signals, not bio.

JSON
{
  "artist_identity": {
    "primary_name": "Chris Zemba Band",
    "market_location": "Pittsburgh, PA",
    "experience_years": 18,
    "roles": "Bandleader, Guitarist, Vocalist"
  },
  "compliance_and_risk": {
    "insured_status": true,
    "w9_ready": true,
    "coi_available": true
  },
  "ensemble_scalability": {
    "configurations_offered": ["Solo Acoustic", "Duo", "Trio", "4-Piece", "6-Piece w/ Horns"],
    "side_projects_offered": ["80s Tribute Act", "Sinatra-Style Lounge Trio"]
  },
  "market_specialties": {
    "event_types": ["Weddings", "Corporate Galas", "Casino Lounges", "Private Parties"],
    "proven_clientele": ["Rivers Casino", "Hard Rock Pittsburgh", "PNC Corporate Events"]
  },
  "repertoire_and_sound": {
    "total_song_count": 350,
    "genres_covered": ["Classic Rock", "Funk", "Top 40", "Modern Country", "Motown"],
    "core_artists_covered": ["Bruno Mars", "Journey", "Bruce Springsteen", "Morgan Wallen"]
  },
  "production_logistics": {
    "self_contained_pa": true,
    "max_venue_capacity_handled": 500,
    "max_set_length_hours": 4
  }
}

Output: a formatted EPK (markdown or PDF-ready doc) that reads like a vendor capability sheet — because that's what talent buyers in this market are actually evaluating.

Recommendation▾

Add a third example showing a failure/bad-outcome case (e.g., an EPK that leads with artistic bio) to reinforce contrast between good and bad output.

Workflow13 / 15

Progress:

Step 1: Intake artist data against the full schema — do not skip compliance fields, they are non-negotiable for corporate/casino buyers
Step 2: Validate scalability array has at least 2 configurations (buyers need budget flexibility options)
Step 3: Confirm repertoire count and genre breadth support "keep the room full" positioning
Step 4: Draft EPK sections in buyer-priority order (see structure below)
Step 5: Compress to 1-2 pages; cut anything that reads as "artistic bio" rather than "vendor capability"
Step 6: Insert a one-line CTA with booking contact and COI/W-9 availability restated

EPK Section Order (buyer-priority, not artist-priority)

Header — Name, market base, years active, one-line positioning (e.g., "18-Year Pittsburgh-Based Corporate & Casino Entertainment Act")
Compliance Snapshot — Insured ✅ / W-9 Ready ✅ / COI Available on Request ✅ (badge/checkmark format, not prose)
Configurations & Pricing Flexibility — List scalable lineups so a buyer can immediately see they can fit any budget tier
Proven Clientele — Named venues/brands (social proof for risk-averse buyers)
Repertoire Strength — Song count + genre spread + name-drop core artists covered
Production Capability — Self-contained PA, max capacity, max set length (answers "will this act cause logistical problems?")
Contact/Booking CTA

Recommendation▾

Include a sample rendered EPK output (formatted markdown/text) rather than only the JSON input schema, since the deliverable is the EPK document itself.

Examples15 / 20

Example 1: Input: Solo wedding guitarist, 5 years experience, no horn section, self-contained small PA, 150 total songs, acoustic/pop covers only, insured but no COI yet. Output: EPK emphasizes intimate ceremony/cocktail-hour fit, positions "Solo Acoustic" as the core offering rather than downplaying lack of scale, lists insured status but notes "COI available upon request" only if coi_available is true — otherwise omit the line entirely rather than stating an absence.

Example 2: Input: 6-piece band with horn section, casino lounge residency history, 400+ songs, Top 40/Motown/Classic Rock, fully insured with COI ready. Output: EPK leads with casino clientele names, headlines "Scalable from Duo to Full Horn Band," emphasizes 4-hour set capability and self-contained PA for large-capacity rooms — this is the flagship configuration for the sector.

Recommendation▾

Expand edge case coverage — e.g., artists with no proven clientele yet, or acts with unusual genre mixes — to strengthen completeness beyond compliance-focused pitfalls.

Best Practices

Lead with risk mitigation. Insurance/W-9/COI status goes above the fold — corporate and casino buyers filter on this before reading anything else.
Show the scaling range, not just the max. A buyer with a $2,000 budget and a buyer with a $12,000 budget should both see themselves in the configurations list.
Quantify repertoire. "350 songs across 6 genres" is a stronger trust signal than a vague "wide variety of music."
Name-drop venues/brands, not just genres. "Performed at Rivers Casino" beats "experienced casino performer."
State capacity numbers plainly. Max venue capacity and set length are logistics filters buyers use to shortlist/reject fast — don't bury them in prose.
Keep it to 1-2 pages. This audience skims; treat it like a vendor spec sheet, not a magazine feature.

Common Pitfalls

Do not lead with artistic bio or "sound story." This audience does not care about influences or creative journey — it reads as unpreparedness for commercial work.
Do not omit compliance fields even if incomplete. If insured_status is false, don't leave it blank — either state a path to obtaining it or omit the section header entirely rather than raising an unanswered red flag.
Do not bury scalability in paragraph form. Use a list/table so a buyer can pattern-match to their budget in seconds.
Do not include streaming stats, follower counts, or release dates unless specifically requested — irrelevant to this buyer's decision criteria.
Do not overstate max capacity or set length. Buyers will hold the act to these numbers; inflated logistics claims damage repeat-booking trust in a small regional circuit.