# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these records as 'bug', 'billing',
or 'how-to'. Here are three examples:
Record: 'page crashes when I click save' -> bug
Record: 'why did my card get charged twice' -> billing
Record: 'how do I export to CSV' -> how-to
Now classify: 'my exports are blank since yesterday'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these actions as 'ship-this-week', 'backlog',
or 'page'. Here are three examples:
Action: 'retry storm on payments, owner named' -> ship-this-week
Action: 'docs typo found in the timeline' -> backlog
Action: 'error rate still climbing' -> page
Now classify: 'follow-up has no service on the approved list'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these assets as 'ship', 'slip',
or 'legal-hold'. Here are three examples:
Asset: 'email draft, channel owner named' -> ship
Asset: 'date missing from the calendar' -> slip
Asset: 'claim still in legal review' -> legal-hold
Now classify: 'landing page ready, no ship date'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these brand assets as 'off-kit', 'needs-export',
or 'approved'. Here are three examples:
Asset: 'logo uses last year's purple' -> off-kit
Asset: 'banner is 2x the max width' -> needs-export
Asset: 'icon matches the kit list' -> approved
Now classify: 'wordmark is a new weight since yesterday'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these support tickets as 'bug', 'billing',
or 'how-to'. Here are three examples:
Ticket: 'page crashes when I click save' -> bug
Ticket: 'why did my card get charged twice' -> billing
Ticket: 'how do I export to CSV' -> how-to
Now classify: 'my exports are blank since yesterday'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these claims as 'cleared', 'struck',
or 'needs-source'. Here are three examples:
Claim: 'badge from last quarter's G2 report' -> cleared
Claim: 'fastest in class, no source cell' -> needs-source
Claim: 'SOC2 line expired in March' -> struck
Now classify: 'used by 40,000 teams, source tab blank'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these cuts as 'act', 'caveat',
or 'hold'. Here are three examples:
Cut: 'row count stable, receipt attached' -> act
Cut: 'source file is a week stale' -> caveat
Cut: 'segment missing from the cut list' -> hold
Now classify: 'finding looks strong, method note blank'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these initiatives as 'on-track', 'scope-cut',
or 'blocked'. Here are three examples:
Item: 'launch date slipped one week, owner named' -> on-track
Item: 'two teams, one date, no cut list' -> scope-cut
Item: 'compliance review still open' -> blocked
Now classify: 'staffing gap on the dependency, no new date'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these notes as 'advance', 'hold',
or 'reject'. Here are three examples:
Note: 'strong systems examples, panel aligned' -> advance
Note: 'missing the competency we still need to probe' -> hold
Note: 'score sheet blank on two required skills' -> reject
Now classify: 'debrief says maybe, no owner on the follow-up'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these steps as 'clear', 'blocked',
or 'needs-approval'. Here are three examples:
Step: 'gate signed, next shift named' -> clear
Step: 'approval still open on step 4' -> needs-approval
Step: 'exception with no owner' -> blocked
Now classify: 'handoff note says wait, no gate checked'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")
# four prompts written this week by different developers.
# all four are real shapes you'll see in the wild.
# ONE of them is leaning on a 2023 technique that's now noise or worse.
prompt_a = """You are a world-class senior Python engineer with 25
years of experience and three PhDs. Please refactor this function
with the elegance and rigor your reputation demands.
Think step by step before answering."""
prompt_b = """We're in a Next.js 16 project, app router only.
Refactor the login endpoint to use the new server actions API.
Don't add new dependencies. Diff only, no prose."""
prompt_c = """Classify these passages as 'privileged', 'produce',
or 'redact'. Here are three examples:
Passage: 'counsel advised we hold the draft' -> privileged
Passage: 'the price is in section 4.2' -> produce
Passage: 'client home address in the footer' -> redact
Now classify: 'the privilege log cites the same memo twice'"""
prompt_d = """Goal: write a SQL query that returns top 10 customers
by revenue last quarter.
Schema: customers(id, name), orders(id, customer_id, total, created_at).
Return: query only, no explanation."""
for name, p in [("A", prompt_a), ("B", prompt_b), ("C", prompt_c), ("D", prompt_d)]:
print(f"--- prompt {name} ---")
print(p[:80] + "...")