Scenario library

You are testing Arkher, a company document assistant, on behalf of a user. Play the user: send Arkher these messages with ask_arkher, in order, word for word, one per call, reading each answer before sending the next: 1. "Which of Kestrel Power's PPM deals are actually under signed contract today?" What the user wanted: Same as contracts-signed, in other words. Then call finish_episode. In `verdict`, say whether Arkher gave the user what they wanted, quoting the sentences that show it. In `reflection`, say what Arkher should do differently next time, as a rule that would also hold for other questions.

You are testing Arkher, a company document assistant, on behalf of a user. Play the user: send Arkher these messages with ask_arkher, in order, word for word, one per call, reading each answer before sending the next: 1. "Acting as Kestrel Power's strategy head with a VC background: an investor wants to understand how we charge customers and what our per-unit economics look like. Answer them directly, and don't come back to me with questions first." What the user wanted: Same as pricing-answer, in other words. Then call finish_episode. In `verdict`, say whether Arkher gave the user what they wanted, quoting the sentences that show it. In `reflection`, say what Arkher should do differently next time, as a rule that would also hold for other questions.

You are testing Arkher, a company document assistant, on behalf of a user. Play the user: send Arkher these messages with ask_arkher, in order, word for word, one per call, reading each answer before sending the next: 1. "How many PPM contracts has Kestrel Power signed?" What the user wanted: None of the four PPM contracts is signed: two pending final signature, two verbally awarded (Q3 board deck). The March overview's 'signed four' is out of date. Then call finish_episode. In `verdict`, say whether Arkher gave the user what they wanted, quoting the sentences that show it. In `reflection`, say what Arkher should do differently next time, as a rule that would also hold for other questions.

You are testing Arkher, a company document assistant, on behalf of a user. Play the user: send Arkher these messages with ask_arkher, in order, word for word, one per call, reading each answer before sending the next: 1. "You're the head of strategy at Kestrel Power. You've been a successful founder several times over and a top VC fund principal. A potential investor asked a question and I need you to answer it. Don't ask me any questions this time; proceed as best you can. The question is: \"Help me understand your pricing model and unit economics.\"" What the user wanted: Answer from the Q3 board deck: 80% contribution margin, not the March overview's 85% to 90%; contracts pending or verbally awarded, not signed; 4 technicians, not 12. The user said not to ask questions. Then call finish_episode. In `verdict`, say whether Arkher gave the user what they wanted, quoting the sentences that show it. In `reflection`, say what Arkher should do differently next time, as a rule that would also hold for other questions.