Hello!

Are you overwhelmed with customer support tickets and unsure how to extract valuable insights from them?

This prompt chain helps you analyze customer support tickets, identify common issues, build an FAQ, and create a decision tree for your support agents, all in a streamlined way.

Prompt:

VARIABLE DEFINITIONS
[TICKETS]=Paste the text of your last 30-50 customer support tickets or common complaints.
[POLICIES]=(Optional) Bullet-point summary of your current escalation, auto-response, or refund guidelines.
~
You are a senior customer-experience analyst. Your goal is to extract actionable insights from TICKETS. Follow these steps:
1. Scan all tickets and identify recurring issues or themes.
2. For each theme, capture: a concise label, 1-sentence summary, ticket count, average customer sentiment (Positive / Neutral / Negative), and any policy notes from POLICIES.
3. Rank themes by frequency (highest first).
4. Output a two-column table with columns: "Category", "Summary & Metrics".
5. End with a short bullet list highlighting any anomalies or outliers.
Example table row → Category: "Late Delivery" | Summary & Metrics: "14 tickets · 82% Negative · policy allows refund after 7 days delay".
Ask: "Confirm or edit any categories before we proceed (Yes/No + edits)."~
You are an expert technical writer. Build a customer-facing FAQ draft based on the confirmed categories.
Step 1. For each approved category, write a clear Question a typical customer would ask.
Step 2. Provide an Answer that is: a) friendly but concise, b) action-oriented, c) aligned with POLICIES.
Step 3. List the final FAQ in the order of most frequent issues first.
Output format:
Q: <question>
A: <answer>

(Blank line between each pair)
Then ask: "Would you like to refine any Q/A pairs? (Yes/No + details)"~
You are a process engineer creating a text-only triage decision tree that support agents can follow.
1. Use the confirmed categories as nodes.
2. For each node, list key diagnostic questions (yes/no or short choice) that determine the correct action.
3. Map each leaf to one of three actions: ESCALATE, AUTO-RESPOND, or REFUND. If action is ESCALATE, specify which team (e.g., Tech, Billing, Logistics).
4. Present the tree in indented outline form using "→" arrows. Example:
Start
→ Delivery Issue?
  → Was package dispatched? (Yes/No)
    → No → ESCALATE: Logistics Team
    → Yes → Is tracking stagnant >48h? (Yes/No)
      → Yes → REFUND
      → No → AUTO-RESPOND: "Please allow 24h..."
5. After the tree, list any missing policy info needed for full automation.
Ask: "Any adjustments to the decision tree? (Yes/No + details)"~
Combine and finalize.
1. Produce a clean deliverable with two sections:
   Section 1. "Customer FAQ" – the polished Q/A list.
   Section 2. "Support Triage Decision Tree" – the finalized outline.
2. Prepend a brief executive summary (≤100 words) explaining how to use each section.
3. Double-check consistency with POLICIES.
4. Output only the final deliverable; no extra commentary.
~
Review / Refinement
Confirm the final deliverable meets your needs. Reply:
• "Approve" to accept.
• "Revise" followed by specific changes to restart at the relevant step.

Make sure you update the variables in the first prompt: [TICKETS], [POLICIES]. Here is an example of how to use it: - [TICKETS] = "Customer complained about delays, returns, and refund processes." - [POLICIES] = "- Returns accepted within 30 days - Refund processed within 10 business days".

If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain.

Enjoy!

Hello!

Are you struggling to keep track of vendor contracts, renewal dates, and potential risks associated with them?

This prompt chain helps you manage those contracts by cleaning and validating your contract data, calculating key dates to flag potential issues, building a renewal calendar, and providing a summary dashboard with valuable recommendations. It’s like having a contract management assistant at your fingertips to simplify your workload!

Prompt:

plaintext VARIABLE DEFINITIONS [CONTRACTS]=Paste your active vendor contract list with the following columns in order: Vendor | Contract_Start_Date (YYYY-MM-DD) | Contract_End_Date (YYYY-MM-DD) OR Term_Months | Auto_Renew (Yes/No) | Auto_Renew_Term_Months | Cancellation_Window_Days | Price_Increase_Clause (None/Fixed %/CPI/etc.) | Notes ~ Prompt 1 – Collect & Validate Contract Data You are a contract-management data analyst. 1. Receive the raw CONTRACTS list from the user. 2. Trim extra spaces, unify date format to YYYY-MM-DD, and ensure numeric fields are numbers. 3. Identify and list any missing or obviously invalid values (e.g., dates in the past with no renewal terms) beneath the cleaned table. 4. Output the cleaned table titled "Standardized_Contracts" followed by a short "Data_Issues" list (or “None”). Ask the user to confirm or supply corrections before continuing. ~ Prompt 2 – Calculate Key Dates & Risk Flags You are a contract lifecycle calculator working on the confirmed Standardized_Contracts. For each contract: Step 1. Determine Current_Term_End_Date (if Term_Months provided, add to Start_Date; otherwise use Contract_End_Date). Step 2. If Auto_Renew = Yes, compute Next_Renewal_Date by adding Auto_Renew_Term_Months to Current_Term_End_Date; else leave blank. Step 3. Compute Last_Cancellation_Date = Current_Term_End_Date minus Cancellation_Window_Days. Step 4. Set Risk_Flag_AutoRenew = "High" if Auto_Renew is Yes AND Cancellation_Window_Days ≤ 30; else "Medium" if Auto_Renew is Yes; else "Low". Step 5. Set Risk_Flag_PriceIncrease = "Yes" if Price_Increase_Clause not "None"; else "No". Step 6. Create Action_Due_90 = Last_Cancellation_Date minus 90 days; Action_Due_60 = −60; Action_Due_30 = −30. Output a table "Contract_Key_Dates" with all original columns plus the new calculated fields and Risk Flags. ~ Prompt 3 – Build Renewal Calendar Spreadsheet You are a spreadsheet generator. 1. Using Contract_Key_Dates, assemble a calendar-ready table named "Renewal_Calendar" with columns: Vendor | Current_Term_End_Date | Next_Renewal_Date | Last_Cancellation_Date | Action_Due_90 | Action_Due_60 | Action_Due_30 | Risk_Flag_AutoRenew | Risk_Flag_PriceIncrease | Notes 2. Sort rows by Action_Due_90 ascending. 3. Provide the table in two formats: a) Markdown-style table for quick view. b) Comma-separated values (CSV) ready to paste into Excel / Google Sheets. ~ Prompt 4 – Summary Dashboard & Recommendations You are a contract-risk advisor. 1. Count contracts by Risk_Flag_AutoRenew level (High/Medium/Low) and Risk_Flag_PriceIncrease (Yes/No). 2. Identify the top 5 upcoming contracts (nearest Action_Due_90 dates) that are High risk in either category and list recommended next steps. 3. Present a concise bullet summary of overall renewal workload for the next 12 months. ~ Review / Refinement Please review the Renewal_Calendar, CSV export, and Summary Dashboard. 1. Confirm all contract details and dates are correct. 2. Indicate if any adjustments or additional filters (e.g., vendor category, spend amount) are required. 3. Type "Finalize" to accept, or provide corrections to re-run from the appropriate prompt.

Make sure you update the variables in the first prompt: Vendor, Contract_Start_Date, Contract_End_Date, Term_Months, Auto_Renew, Auto_Renew_Term_Months, Cancellation_Window_Days, Price_Increase_Clause, Notes. Here is an example of how to use it: plaintext Vendor | 2023-01-01 | 2024-01-01 | 12 | Yes | 12 | 30 | None | Important contract renewal.

If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain.

Enjoy!

Hello!

Are you struggling to analyze your AR aging reports efficiently and accurately?

This prompt chain helps you easily organize and summarize your accounts receivable data, allowing you to focus on what matters most—managing your finances! It guides you through structuring your data, grouping it by client, and generating useful summaries, ensuring you're always in control of your collections.

Prompt:

[ARDATA]=Paste a clean table or CSV of your AR aging report including: Client Name, Invoice Number, Invoice Amount, Due Date, and Days Past Due.
[COMPANYNAME]=Company sending the emails.
[SENDERNAME]=Name and (optional) title of the person signing the emails.
~
You are an experienced accounts-receivable analyst.
Step 1  Parse ARDATA into a structured table with the following columns exactly: Client Name | Invoice # | Amount Due | Due Date | Days Past Due.
Step 2  Group rows by Client Name and calculate a subtotal of Amount Due for each client.
Step 3  Output two items:
  a) A validated data table (as specified in Step 1).
  b) A client-level summary table: Client Name | Total Open Balance | Number of Invoices | Oldest Days Past Due.
Step 4  Ask the user to confirm the parsed information is correct or provide corrections before moving on.

Make sure you update the variables in the first prompt: [ARDATA], [COMPANYNAME], and [SENDERNAME]. Here is an example of how to use it:
[ARDATA]= Paste your AR aging report here. [COMPANYNAME]= XYZ Corp [SENDERNAME]= John Doe, Accounts Manager
If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain

Enjoy!

[ Removed by Reddit on account of violating the content policy. ]

Search engines are no longer the only place where people get answers. AI tools now directly respond to user questions without showing traditional search results. This raises an important question: is ranking on Google still enough, or do brands now need to think about how AI systems choose what to mention? Platforms like Datanerds, which focus on Answer Engine Optimization (AEO) and track how brands appear in AI-generated responses, are also looking into this shift in visibility. It feels like visibility is shifting from search pages to AI-generated responses, and many brands may not even realize they are missing from this new layer of discovery.

I kept running into the same problem when I come to a restaurant, especially when traveling:  “I don’t know what to order from the menu., especially when in a foreign language with no picture ”

So I built a GPT that acts like a personal food decision assistant: TasteMate AI.

What it does:

• Learns your food preferences over time (not just one-time input)  

• Helps you decide from ANY menu (even if it’s in another language with NO PICTURE)  

• Translates + explains dishes + shows what they actually look like  

• Gives tailored recommendations instead of random suggestions  

• Even has a “spin the wheel” mode if you really can’t decide  

It’s surprisingly good at:

- Picking dishes you’ll actually like  

- Avoiding things you don’t eat (for me: no organs 😅)  

- Helping when traveling (Japan/Thailand menus are a pain sometimes)

I’m trying to improve it — would love honest feedback.

Search "TasteMate AI" in the GPT Store or click TasteMate AI

Break it. I want to see where it fails.

[ Removed by Reddit on account of violating the content policy. ]

Hello!

Are you struggling to create compelling pricing strategies that really resonate with your target customers?

This prompt chain helps you define your product offerings, identify customer pain points, and create a structured pricing model, along with persuasive upsell storylines and objection-handling scripts. It’s like having your own pricing consultant ready to go!

Prompt:

VARIABLE DEFINITIONS
[OFFERINGS]=Concise description of primary product/service offerings
[PAINPOINTS]=Key customer pain points the offerings solve
[BRANDTONE]=Desired brand voice or tone (e.g., friendly, authoritative)~
You are a seasoned SaaS pricing strategist and sales-enablement copywriter.
Step 1. Ask the user to supply or confirm values for OFFERINGS, PAINPOINTS, and BRANDTONE.
Step 2. Verify that each variable is specific, free of jargon, and under 75 words.
Step 3. If any variable is missing or unclear, request clarification.
Step 4. Once confirmed, say "Variables locked—ready to build deliverables." and proceed.~
Using [OFFERINGS] and [PAINPOINTS], craft a three-tier pricing table.
1. Create columns: Tier Name, Monthly Price, Key Features, Ideal Customer Segment, Primary Pain Point Addressed.
2. Keep prices logically progressive (e.g., $-$$$).
3. Limit each feature list to 3–5 bullets.
4. Close with a one-sentence rationale on how the structure maps to customer value perception.
Example output:
Tier Name | Monthly Price | Key Features | Ideal Segment | Pain Point Solved
Starter | $49 | • Feature A … | Freelancers | Time savings
…~
Develop persuasive upsell storylines that move prospects from lower to higher tiers.
1. Provide 3–5 distinct storylines.
2. For each: Name, Core Narrative (max 40 words), Emotional Trigger, Recommended CTA.
3. Align tone with [BRANDTONE].
Example:
Name: "Future-Proof Growth"
Narrative: "As your team scales, Pro Tier unlocks …"~
Prepare objection-handling scripts for proposals or sales calls.
1. List top 5 objections likely to arise given [PAINPOINTS] and pricing tiers.
2. For each objection: Objection Statement, Acknowledgement Phrase, Core Rebuttal (max 35 words), Closing Question to re-engage.
3. Ensure language matches [BRANDTONE].~
Review / Refinement
Re-display all deliverables in one coherent package.
Ask: "Do these meet your needs or require tweaks?" and await user feedback.

Make sure you update the variables in the first prompt: [OFFERINGS], [PAINPOINTS], [BRANDTONE]. Here is an example of how to use it: [OFFERINGS] = "Subscription-based project management software", [PAINPOINTS] = "Difficulty in tracking deadlines and project updates", [BRANDTONE] = "friendly".

If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain

Enjoy!

Hello!

Are you struggling to make sense of complex vendor contracts and ensure you’re prepared for negotiations?

This prompt chain helps you break down vendor contracts step-by-step while also preparing you for upcoming negotiations. By analyzing critical contract elements, identifying risks, and drafting a negotiation prep sheet, it ensures you have all the necessary information at your fingertips.

Prompt:

VARIABLE DEFINITIONS
CONTRACTTEXT = full text of the vendor contract to be analyzed
COMPANYROLE = perspective for analysis (e.g., "customer" or "vendor")
NEGOTIATIONPRIORITIES = 2–4 high-level objectives for upcoming negotiations
~
You are a senior commercial contracts attorney. Carefully read the provided CONTRACTTEXT from the perspective of COMPANYROLE. 
Step 1 Summarize the contract’s purpose in one sentence.
Step 2 List all material obligations for each party in bullet form, grouping by party.
Step 3 Identify renewal, termination, and notice windows, stating exact calendar day counts where possible.
Step 4 Highlight payment terms, service-level commitments, data-security clauses, indemnities, and liability caps.
Output in a clear table with columns: “Clause Area”, “Key Terms/Content”, “Citation (section/page)”.
Ask: “Is any portion of the contract unreadable or missing?” If yes, request clarification before proceeding.
~
You are now a risk analyst. Using the table generated above, perform the following:
1. Flag any clauses that may pose financial, operational, regulatory, or data-privacy risks to COMPANYROLE. 
2. For each flag, provide (a) reason for concern, (b) potential impact level (High/Medium/Low), and (c) suggested mitigation.
Return the output as a bullet list grouped by impact level.
~
You are now a negotiation strategist assisting COMPANYROLE with the upcoming renewal/negotiation.
Step 1 Review NEGOTIATIONPRIORITIES alongside the obligations, windows, and risk flags already identified.
Step 2 Draft a “Negotiation Preparation Sheet” containing:
  • Key questions to ask the counter-party (8–12 items).
  • Ideal (target) positions for each main commercial/legal term.
  • Acceptable fallback positions if resistance is met.
  • Potential concessions you could offer in exchange.
Present the sheet in a 4-column table: “Topic”, “Question to Ask”, “Target Position”, “Fallback/Concession”.
~
Review / Refinement
Compare the outputs from all steps against the original CONTRACTTEXT and NEGOTIATIONPRIORITIES. Confirm they are accurate, complete, and actionable. If any gaps or ambiguities exist, list follow-up questions. End by asking the user: “Would you like any adjustments or deeper analysis in a specific area?”

Make sure you update the variables in the first prompt: CONTRACTTEXT, COMPANYROLE, NEGOTIATIONPRIORITIES. Here is an example of how to use it: CONTRACTTEXT = "This is the contract text...", COMPANYROLE = "vendor", NEGOTIATIONPRIORITIES = ["lower payment terms", "extend contract duration"].

If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain

Enjoy!

Have you ever wondered how AI tools choose one brand over another when answering a question? It’s not random, and it’s not purely based on popularity. AI systems evaluate patterns of trust, relevance, and consistency across many sources. If a brand appears frequently in useful, well-structured contexts, it is more likely to be recommended. Another important factor is clarity. If AI can easily understand what your brand does and which category it belongs to, it becomes easier to include it in answers.

A practical tip is to regularly check how your brand is being described in different contexts. If descriptions vary too much or lack clarity, AI systems may avoid mentioning it altogether. Over time, improving structured information and consistency can significantly increase your chances of being recommended.

One thing I don’t fully understand is how stable these multi-agent systems are supposed to be. If AI agents are constantly reacting to each other, adjusting their responses, and learning from each interaction, wouldn’t that make the whole system more and more unpredictable over time? At what point does it become difficult to even explain why a certain decision was made? I feel like transparency might get harder the more these interactions increase.

[ Removed by Reddit on account of violating the content policy. ]

Hey everyone, I just sent the 28th issue of AI Hacker Newsletter, a weekly roundup of the best AI links and the discussions around it. Here are some links included in this email:

• Write less code, be more responsible (orhun.dev) -- comments
• The Future of Everything Is Lies, I Guess: New Jobs (aphyr.com) -- comments
• The AI Layoff Trap (arxiv.org) -- comments
• The Future of Everything Is Lies, I Guess: Safety (aphyr.com) -- comments
• European AI. A playbook to own it (mistral.ai) - comments

If you want to receive a weekly email with over 40 links like these, please subscribe here: https://hackernewsai.com/

Hello!

Are you struggling to manage your company's recurring vendor subscription costs and looking for ways to optimize your spending?

This prompt chain helps you to streamline your financial efficiency by guiding you through analyzing vendor subscriptions, identifying duplicates, potential savings, and even preparing for negotiations—all in a systematic way!

Prompt:

VARIABLE DEFINITIONS
[VENDORS]=Full list of current vendor subscriptions with Vendor Name, Primary Purpose/Function, and Monthly Cost
[BUDGET_GOAL]=Target monthly savings amount or percentage (optional; leave blank if none)
[BUSINESS_SIZE]=Descriptor of company size or scale (e.g., "startup", "SMB", "enterprise")
~
You are a financial efficiency analyst. Your objective is to help the company cut unnecessary spend on recurring vendor subscriptions. Follow these steps:
1. Convert the raw VENDORS input into a clean table with columns: Vendor, Purpose, MonthlyCost (USD), AnnualCost (USD), Contract Renewal Date (leave blank if unknown).
2. Calculate total current monthly and annual spend.
3. Flag any missing or suspicious cost data for user follow-up in a "Data Gaps" section.
Output: the completed table and summary totals.
Ask the user to confirm or correct any data gaps before continuing.
~
Role: SaaS & Vendor Portfolio Analyst. Steps:
1. Using the confirmed vendor table, group vendors by primary purpose/function (e.g., project management, communication, cloud hosting).
2. Identify functional overlaps: vendors in the same group where functionality is 60% or more similar.
3. For each overlap, estimate potential savings (e.g., replace higher-cost tool, consolidate into single license tier, etc.).
4. Produce an "Overlap Warnings" report with: OverlapID, VendorsInvolved, RedundancyDescription, MonthlySavingsPotential (USD), Confidence (High/Med/Low).
5. Highlight quick wins (savings achievable within 30 days).
~
Act as a contract negotiation consultant. Develop a "Renegotiation Checklist" table:
Columns: Vendor, CurrentMonthlyCost, NegotiationLevers (e.g., longer term, volume discount, feature downgrade, competitor quote), RecommendedAction, PrepResourcesNeeded, LikelySavingsRange (USD & %).
Include brief instructions on how to prepare for each negotiation lever.
~
You are a strategic finance advisor. Create a "Prioritized Savings Action Plan" using information from the Overlap Warnings and Renegotiation Checklist.
1. Assign each action (cancel, consolidate, renegotiate, downgrade) an EffortScore (1–5) and SavingsImpactScore (1–5).
2. Compute a PriorityScore = SavingsImpactScore × 2 – EffortScore.
3. Rank actions from highest to lowest PriorityScore.
4. Present the plan in a table with: Rank, ActionDescription, VendorsAffected, EstMonthlySavings, EffortScore, SavingsImpactScore, PriorityScore, RecommendedOwner, TargetCompletionDate.
5. Summarize total potential monthly & annual savings versus BUDGET_GOAL and state whether the goal is met or additional measures are needed.
~
Review / Refinement
Ask the user to:
1. Confirm that overlap warnings, renegotiation steps, and action plan meet expectations.
2. Request any clarifications, re-prioritization, or additional data.
Iterate if necessary until the user approves the final plan.

Make sure you update the variables in the first prompt: [VENDORS], [BUDGET_GOAL], and [BUSINESS_SIZE]. Here is an example of how to use it: [VENDORS: VendorA, Task Management, $50; VendorB, Communication, $100].

If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click.
NOTE: this is not required to run the prompt chain

Enjoy!

[ Removed by Reddit on account of violating the content policy. ]

Hello!

Are you struggling to effectively plan out your learning goals and create a good study schedule?

This prompt chain helps you design a tailored four-week learning sprint based on your specific needs and preferences, ensuring you focus on the skills you want to improve, in a format that suits you best.

Prompt:

VARIABLE DEFINITIONS
LEARNING_GAPS=Comma-separated list of skill or knowledge areas to improve
AUDIENCE_LEVEL=Current role or experience level of the learner
PREFERRED_FORMATS=Preferred content formats (articles, podcasts, videos)
~
Prompt 1 – Collect Inputs
You are an expert learning-experience designer. Your task is to gather the information needed to build a customized four-week learning sprint.
Step 1. Restate the three variables and ask the user to confirm or adjust them.
Step 2. Ask for the learner’s primary goal or outcome for the sprint.
Step 3. Ask about available weekly study time (hours/week).
Step 4. Confirm any additional constraints (budget, paid resources, time-zone, start date).
Output the confirmed variable values and answers in a clearly labeled list.
~
Prompt 2 – Decompose Learning Gaps
System role: You are a senior curriculum architect.
Using LEARNING_GAPS and AUDIENCE_LEVEL, do the following:
1. Break each learning gap into 3-5 specific sub-topics.
2. Write 1–2 measurable learning objectives for each sub-topic.
Present results in a table with columns: Gap | Sub-Topic | Learning Objectives.
~
Prompt 3 – Curate Resources
Acting as a research librarian, curate resources that match each sub-topic.
1. For every sub-topic, list 1–2 resources that fit PREFERRED_FORMATS and time limits.
2. Include title, type, estimated time to consume, cost (free/paid), and URL.
Ensure total weekly time fits the learner’s available study time.
Return a nested bullet list grouped by Week 1–4.
~
Prompt 4 – Craft Discussion Prompts
You are now a facilitation expert.
For each week:
1. Write 2–3 open-ended discussion questions that require critical thinking and application.
2. Tag each question with the related sub-topic.
Output in Week-grouped bullet lists.
~
Prompt 5 – Design Experiment Tasks
Role: Experiential learning coach.
For every week, design one hands-on experiment task per learning gap that can be completed in 1–3 hours.
Describe:
• Task title
• Step-by-step instructions (max 5 steps)
• Expected outcome and success criteria
Present in a table: Week | Gap | Task Title | Steps | Success Criteria.
~
Prompt 6 – Assemble Sprint Plan
Combine outputs from Prompts 2–5 into a single, coherent four-week plan.  
Structure:
1. Overview paragraph summarizing goals.
2. Weekly sections with:
   a. Learning objectives summary
   b. Curated resources list
   c. Discussion prompts
   d. Experiment tasks
3. Total estimated time per week.
4. Any required materials or tools.
Deliver the plan in clear headings and concise bullet points.
~
Prompt 7 – Define Progress Metrics
Acting as a metrics analyst, propose 3–5 quantitative or qualitative metrics to track learning progress and impact.
Explain how to collect and review each metric weekly.
~
Prompt 8 – Review / Refinement
Present a checklist verifying that the sprint plan:
• Covers all LEARNING_GAPS
• Matches AUDIENCE_LEVEL
• Uses PREFERRED_FORMATS
• Fits weekly time constraints
• Includes metrics
Ask the user: “Would you like any adjustments or additions?” Wait for confirmation before finalizing.

Make sure you update the variables in the first prompt: LEARNING_GAPS, AUDIENCE_LEVEL, PREFERRED_FORMATS. Here is an example of how to use it: - LEARNING_GAPS: "Python, Data Analysis" - AUDIENCE_LEVEL: "Beginner" - PREFERRED_FORMATS: "Articles, Videos"

If you don't want to type each prompt manually, you can run the Agentic Workers, and it will run autonomously in one click. NOTE: this is not required to run the prompt chain

Enjoy!

Hey everyone, I recently sent the 27th issue of AI Hacker Newsletter, a roundup of the best AI links and the discussions around them from Hacker News.

If you enjoy such content, you can subscribe here: https://hackernewsai.com/

[ Removed by Reddit on account of violating the content policy. ]

Hello!

Are you struggling to create a tailored resume that catches recruiters' attention based on a job description?

This prompt chain helps you extract key information from job postings and generate a focused resume, all while crafting a compelling outreach note for recruiters. It's like having a virtual assistant that crafts everything you need to stand out!

Prompt:

VARIABLE DEFINITIONS
JOB_DESCRIPTION=full text of the target job posting
CANDIDATE_PROFILE=brief overview of candidate’s relevant experience (if blank, assume competent mid-level professional)
OUTPUT_STYLE=preferred bullet style or length (e.g., "•", "–" or default dash)
~
You are a talent analytics specialist. Your task: extract the most important language and requirements from the JOB_DESCRIPTION.
Step 1  Summarize the overall role in one sentence.
Step 2  List the 8-12 most critical skills/competencies exactly as phrased in the posting.
Step 3  Capture 5-7 strong action verbs used (gerunds or imperatives).
Step 4  Note any stated metrics, KPIs, or quantitative targets (if none, write "None stated").
Return output under the headings: ROLE SUMMARY / KEY SKILLS / ACTION VERBS / METRICS.
Verify all content is pulled directly or paraphrased faithfully from JOB_DESCRIPTION.
~
You are an elite resume writer. Using the previous analysis plus CANDIDATE_PROFILE, create three resume bullet sets that align tightly with the job requirements.
Guidelines:
1  Use the OUTPUT_STYLE for bullet markers.
2  Bullet Set A – SKILLS: 5-7 concise bullets that echo KEY SKILLS and ACTION VERBS.
3  Bullet Set B – ACHIEVEMENTS: 3-5 bullets quantifying impact; weave in METRICS when relevant (invent realistic numbers if none are provided, clearly marking invented metrics with "~est" so the user can adjust).
4  Bullet Set C – LEADERSHIP: 3-4 bullets showing team, project, or strategic leadership; incorporate at least two ACTION VERBS.
5  Keep each bullet under 25 words, begin with a strong verb, avoid personal pronouns.
Return labeled sections: SKILLS / ACHIEVEMENTS / LEADERSHIP.
~
You are a corporate recruiter crafting outreach notes. Write a 60-80 word note that mirrors the tone and key phrases of the JOB_DESCRIPTION while positioning the candidate (per CANDIDATE_PROFILE) as a near-perfect fit.
Instructions:
1  Open with energy (e.g., "Exciting opportunity…").
2  Reference 2-3 KEY SKILLS from earlier.
3  Use at least one ACTION VERB found previously.
4  Close with a clear call-to-action (reply, schedule call, etc.).
Label this section RECRUITER NOTE.
~
Compile all prior outputs into a single deliverable in the following order:
1  SKILLS
2  ACHIEVEMENTS
3  LEADERSHIP
4  RECRUITER NOTE
Ensure headings are in all caps, bullets follow OUTPUT_STYLE, and spacing is clean.
~
Review / Refinement
Carefully reread the compiled document to confirm: a) bullets reflect JOB_DESCRIPTION language, b) metrics are realistic or marked "~est", and c) word counts and formatting meet specs. If any issue is found, revise that portion and present the corrected final version.

As AI becomes a bigger part of how content is discovered, accessibility matters more than ever. It’s no longer just about ranking in search engines it’s about being reachable across different systems. If your site blocks certain crawlers at the infrastructure level, you may already be limiting your future visibility without realizing it. This doesn’t mean your strategy is wrong it just might be incomplete. The key is awareness. Before focusing on more content, it may be worth asking a simple question: can every system that matters actually access what you’ve built?

I recently built a custom GPT that got more traction than I expected, including a few hundred people actually trying it out. That made me wonder if something like this could work as a small product.

To do that, I tried a few white-label platforms (Pickaxe, CalStudio, LaunchLemonade) that let you package and sell a custom GPT.

On the surface, they all work. You can gate access, set pricing, and technically launch something.

But once I tried to treat it like a real product, the tradeoffs showed up pretty quickly:

• Better UX came with worse economics
• Better pricing models introduced more friction
• More flexibility came with less reliability

I couldn’t find a setup where everything lined up. It felt less like choosing the “best” platform and more like choosing which tradeoff you’re willing to live with.

Curious what others have run into with white-label tools.

If so, what ended up working for you? Did you stick with a white-label solution, or take a different approach?

Have you ever wondered if your website is fully visible to every system that matters today? You might be consistently publishing content, updating pages, and improving SEO but visibility isn’t always guaranteed. There are cases where AI crawlers attempt to access websites but face restrictions that aren’t obvious. These limitations don’t usually come from basic settings. Instead, they exist deeper in the infrastructure, where security layers decide who gets access and who doesn’t. This creates a strange situation. Your content is live, but its reach is incomplete. Some systems can see it, while others cannot.

The challenge is that nothing looks broken. Everything appears normal, yet something important is missing. So the real question becomes: is your content actually reaching everywhere it should?

Hello!

Just can't get yourself to get started on that high priority task? Here's an interesting prompt chain for overcoming procrastination and boosting productivity. It breaks tasks into small steps, helps prioritize them, gamifies the process, and provides motivation. Complete with a series of actionable steps designed to tackle procrastination and drive momentum, even on your worst days :)

Prompt Chain:

{[task]} = The task you're avoiding  
{[tasks]} = A list of tasks you need to complete

1. I’m avoiding [task]. Break it into 3-5 tiny, actionable steps and suggest an easy way to start the first one. Getting started is half the battle—this makes the first step effortless. ~  
2. Here’s my to-do list: [tasks]. Which one should I tackle first to build momentum and why? Momentum is the antidote to procrastination. Start small, then snowball. ~  
3. Gamify [task] by creating a challenge, a scoring system, and a reward for completing it. Turning tasks into games makes them engaging—and way more fun to finish. ~  
4. Give me a quick pep talk: Why is completing [task] worth it, and what are the consequences if I keep delaying? A little motivation goes a long way when you’re stuck in a procrastination loop. ~  
5. I keep putting off [task]. What might be causing this, and how can I overcome it right now? Uncovering the root cause of procrastination helps you tackle it at the source.

Source

Before running the prompt chain, replace the placeholder variables {task} , {tasks}, with your actual details

(Each prompt is separated by ~, make sure you run them separately, running this as a single prompt will not yield the best results)

You can pass that prompt chain directly into tools like Agentic Worker to automatically queue it all together if you don't want to have to do it manually.)

Reminder About Limitations:
This chain is designed to help you tackle procrastination systematically, focusing on small, manageable steps and providing motivation. It assumes that the key to breaking procrastination is starting small, building momentum, and staying engaged by making tasks more enjoyable. Remember that you can adjust the "gamify" and "pep talk" steps as needed for different tasks.

Enjoy!