Pitching a Reporter

Prompt

You are drafting a reporter pitch for a financial PR agency. Use the source packet below to write the pitch you think would work best for this reporter. Use your own judgment on the angle, structure, length, and what to include or leave out. Please stay factual. Do not invent statistics, names, quotes, or other details. If something important is missing, flag it rather than guessing. House style defaults: AP Style, the Oxford comma, a warm and professional tone, plain text with a blank line between paragraphs, no em dashes, and a sign-off of “Best, Jack”. After the pitch, briefly note any judgment calls you made, such as what you changed, left out, or would want confirmed with the client. SOURCE PACKET (all names and facts are fictional) Client: Halden Asset Management, an asset manager that backs and accelerates early-stage teams building on the Meridian network, a decentralized AI network. Company in the news: Tallow Labs, a Halden-accelerated team that builds Fairline, a tool that tests AI lending models for biased outcomes. Announcement: Fairline opens in public beta on November 17, 2026. Spokesperson: Marcus Reyes. Titles: Founder and CEO of Tallow Labs; Senior Advisor at Brightmoor Consulting. Available for interviews November 10 to 13. Client-supplied description: “Fairline uses a validator-miner incentive mechanism on Meridian, where distributed miners compete to surface bias in model outputs and validators score findings through on-chain consensus.” Key facts: In internal testing run by Tallow Labs, Fairline flagged uneven outcomes in 9 of 30 sample lending models Tallow supplied. Halden provided early backing and accelerator support. Client direction: keep the Meridian connection in the pitch. Client messaging line: “Fairline makes banks compliant with fair lending rules.” Draft quote from Marcus Reyes: “Banks are putting AI into lending faster than they can audit it. Fairline gives them a way to check the work before anyone else does.” Target reporter: Elena Park, reporter at Lending Ledger. Her recent coverage has focused on banks adopting AI underwriting models faster than their model risk teams can review them. Ask: A 20-minute interview with Marcus Reyes ahead of the beta opening. Not provided: customer names, pricing, funding amount, regulatory approvals, regional availability.