Checkly

Checkly AI

Checkly AI

Checkly AI

Checkly AI

Checkly AI

Checkly AI

Checkly AI

Checkly AI

Checkly AI

Checkly AI

Data Privacy when using Claude Plugin for Excel

Does anyone know if Claude actually sends details on opened excel sheets in the background? Or is it only on the cells or worksheets being actively worked on by Claude? I checked with Claude and it tells me that it would only send data for cells/worksheets that are being worked on by your prompts. Simply opening an excel sheet while the Claude Plugin doesn't send any data about the opened item. Does anyone have ideas or insights on this? submitted by /u/Fit-Entertainer-7641 [link] [comments]

Spawned agents

Be careful allowing Claude to spawn agents and taking the information they report back as fact. I'm always creating unit and integration tests as I code to make sure things are working properly. I recently asked Opus to check a few sections of my code to see if there was any orphan code since in some cases we iterated over different features a bunch of times. It identified 24 different instances but in 23 cases it was wrong. The only case it got somewhat right was commented out code that clearly says it's for a future feature. Later on it spawned agents to reviewed features in my app and it came back saying things didn't exist when they clearly did. I sent Opus out to review each one and it came back saying everything the agent presented was wrong. Amazing behavior given I have an agents.md file in each section. If you want better accuracy, I would explicitly tell it to make sure it uses a better reasoning model since Explore can sometimes default to Haiku which is faster but honestly not doing much. Even better is telling Claude not to send our subagents at all and to research itself. submitted by /u/Extreme-Success97 [link] [comments]

Built a Claude-powered tool that catches its own hallucinations by cross-checking with other models

I got fed up with Claude giving me confident wrong answers, so I built something to fix it — using Claude itself. The tool is called ZosyAI. The core idea: Claude powers the entire reasoning and validation layer. When you ask a question, Claude coordinates the process — sending the query to multiple models, structuring how they challenge each other's outputs, and synthesizing the final consensus response. Other models participate in the cross-checking, but Claude is what makes the debate meaningful rather than just showing three different answers side by side. That orchestration layer was the hardest part to build, and honestly only Claude was capable of doing it reliably. The result: when models agree, you get a high-confidence answer. When they disagree, Claude flags the conflict and explains why — so you know exactly where to verify before acting on anything. Built entirely with Claude. Free to try (paid tiers available for higher usage): ZosyAI Has anyone else built tools on top of Claude to improve its own accuracy? Curious what approaches others have tried. submitted by /u/Defiant-Bell1474 [link] [comments]

I built a skill that cuts Claude's output by up to 70% — without losing any technical accuracy

I got tired of Claude and other agent starting every response with: “Sure! I’d be happy to help…” So I built crisp — a terse mode skill that strips filler while keeping technical accuracy intact. Example: Without crisp: “Sure! I’d be happy to help you with that. The issue you're experiencing is likely caused by a problem in your authentication middleware…” With crisp: “Bug in auth middleware. Token expiry check uses < not <=.” Same fix. Way fewer words. The interesting part is that crisp doesn’t compress everything equally. If the model detects: destructive commands risky operations security warnings irreversible actions it automatically switches back to full clarity before continuing. So you don’t end up with something absurd like: “DROP TABLE users;” without context or warnings first. That “auto-clarity exception” ended up becoming the core design decision. Benchmarks (real API output tokens, averaged across runs): Haiku 4.5 → 29% fewer tokens Sonnet 4.6 → 70% fewer tokens Opus 4.7 → 61% fewer tokens Install: npx skills add shubhamv123/crisp Or just paste SKILL into any Claude conversation. Still experimental, but I’d genuinely love feedback from people using Claude Code, local agents, or terminal-heavy workflows. Repo: GitHub - crisp submitted by /u/Deady213 [link] [comments]

Claude Status Update : Elevated errors on Claude Opus 4.7 on 2026-05-20T16:04:37.000Z

This is an automatic post triggered within 2 minutes of an official Claude system status update. Incident: Elevated errors on Claude Opus 4.7 Check on progress and whether or not the incident has been resolved yet here : https://status.claude.com/incidents/4znk51f63g93 Also check the Performance Megathread to see what others are reporting : https://www.reddit.com/r/ClaudeAI/comments/1s7f72l/claude_performance_and_bugs_megathread_ongoing/ submitted by /u/ClaudeAI-mod-bot [link] [comments]

Claude Status Update : Elevated errors on Claude Opus 4.7 on 2026-05-20T15:56:00.000Z

This is an automatic post triggered within 2 minutes of an official Claude system status update. Incident: Elevated errors on Claude Opus 4.7 Check on progress and whether or not the incident has been resolved yet here : https://status.claude.com/incidents/4znk51f63g93 Also check the Performance Megathread to see what others are reporting : https://www.reddit.com/r/ClaudeAI/comments/1s7f72l/claude_performance_and_bugs_megathread_ongoing/ submitted by /u/ClaudeAI-mod-bot [link] [comments]

Claude is a real g

submitted by /u/No-Special745 [link] [comments]

Claude Status Update : Elevated errors on Claude Opus 4.7 on 2026-05-20T14:43:17.000Z

This is an automatic post triggered within 2 minutes of an official Claude system status update. Incident: Elevated errors on Claude Opus 4.7 Check on progress and whether or not the incident has been resolved yet here : https://status.claude.com/incidents/4znk51f63g93 Also check the Performance Megathread to see what others are reporting : https://www.reddit.com/r/ClaudeAI/comments/1s7f72l/claude_performance_and_bugs_megathread_ongoing/ submitted by /u/ClaudeAI-mod-bot [link] [comments]

How do you do OOD detection on a closed LLM API with no latent access?

Classical OOD detection assumes you can see the model. Mahalanobis on features and energy on logits are typical, and both require cracking the model open. With closed LLM APIs you get text in, text out, and maybe top K logprobs per token if you are lucky. The methods that survive that constraint are sampling consistency like SelfCheckGPT, token level entropy on whatever logprobs the API exposes, proxy embeddings from your own encoder, or a separate verifier model on the output. What is bothering me is that classical OOD and hallucination detection collapse into the same problem in that setting, because both manifest as the model producing unreliable text. If you are running closed LLMs in production right now, what is your actual OOD signal and how do you decide when to trust the output. submitted by /u/kamilc86 [link] [comments]

eng manager fintech dublin. 12 reports. used claude through 3 hiring cycles this year. the part that surprised me.

dublin. engineering manager at a fintech. 12 direct reports. responsible for hiring 4 senior engineers in 2025. all 4 hires made through claude-assisted workflow. wanted to share what worked + what didn't because hiring is the use case nobody writes about well on this sub. what i used claude for during hiring. role design. i sat with claude for ~3 hours to write each role. claude asked me clarifying questions i wouldn't have asked myself. one question that changed how i wrote the senior engineer role: "what's the difference between this role and a staff engineer role, and would you hire someone overqualified into this role?" forced me to be honest about ceiling. JD writing. drafted 4 job descriptions. claude reviewed each. caught 2-3 things in each JD that would have skewed our candidate pool. (e.g., "fast-paced environment" actually excludes parents of young children based on a/b testing. claude flagged it. removed it. application rate from women aged 30-40 went up.) resume review. screening ~80 resumes per role. claude reviewed each against the role criteria i'd defined. surfaced patterns i would have missed. one example: 4 of our top 20 candidates had unconventional backgrounds (career changers, bootcamp grads with strong portfolios). i would have screened them out on autopilot. claude's structured review surfaced them. 2 of our 4 hires came from that group. interview prep. for each candidate at the technical stage, claude reviewed their work history and helped me prep 4 questions specific to their experience. zero generic interviews. candidates kept saying "you actually read my background." reference check synthesis. claude helped me write structured reference check questions and summarize 14 reference calls into themes per candidate. found patterns i'd have missed. what i did NOT use claude for. the actual interview. i don't have AI in the room when i'm interviewing a human. that's a values thing for me. claude prepped me for the interview. the interview was between me and the candidate. what surprised me. claude made me a more THOROUGH hiring manager. not faster (the hiring still took 6 weeks per role). more careful. the surface area for getting hiring wrong shrank because claude was reviewing my judgment at each step. my 4 hires are all 6-9 months in now. none have left. one was promoted to senior staff already. these are my best 4 hires in 11 years of engineering management. some of that is luck. some of it is that the process was more rigorous than my prior hiring processes. for other engineering managers. claude in hiring is not about speed. it's about thoroughness. the workflow doubles the rigor of your hiring without doubling the time investment. submitted by /u/InsuranceNeither903 [link] [comments]

Using Claude to run statistical analysis

I’m really new to Claude and my usage for the past 3 weeks was more on learning how to Vibe Code and I was able to deploy 2 projects. I’m a freelance research assistant. I received the data and managed it. I did some preliminary checks — more on query and basic stat — on Excel. Then a thought comes to my mind if Claude can run the statistical analysis for me which includes descriptives, basic analysis and complex (poisson regression). I did feed Claude data and prompts about statistical tests. I honestly don’t know a shit when it comes to statistics but I always wanted to learn. I already have SPSS and R but I don’t have the courage to use it. So after Claude did the analysis —the descriptives and basic ones were the same with my preliminary checks — we have I deadline so I wanted to interpret the results as soon as possible one by one. Now, I want to know how accurate Claude’s output can be with complex analysis. I sent the files to our Statistician for validation and for him to run all the tests. Now, I’m thinking if Claude can create the script for SPSS or R, and help me learn how to actually do the tests? I will ask our Stat to also generate the scripts. Do you have any suggestions on how to go about this? I was a ChatGPT user but I think Claude is better with complex tasks. I still use ChatGPT. submitted by /u/ExpensiveConcern7266 [link] [comments]

The real reason your team is not using the AI tools you bought them

It is not training. It is not UX. It is trust. I call it the "AI Trust Gap" -- the distance between what leadership thinks AI can do and what employees are willing to let it do. The pattern: - CEO reads about AI transformation, buys enterprise license - Employees use it for spell-check and summarization - CEO wonders why ROI is not there - Employees are privately afraid AI will make their jobs redundant The fix is not more training. It is trust-building. AI needs to earn trust the same way a new employee does: through consistent, transparent, verifiable performance over time. I wrote a longer analysis of the Trust Gap and what actually closes it. Happy to share if helpful. What has your experience been with team AI adoption? submitted by /u/JaredSanborn [link] [comments]

Open AI Privacy Center Requests

I made 2 requests to OpenAI in March. (Download my data and do not train content). Received an automated response and haven't heard back since. It's going to be almost two months now. When I visit the portal - it says 0 active requests? Is this some kind of scam where you really can't do anything once you've signed up? https://preview.redd.it/5uhsk71xt82h1.png?width=1132&format=png&auto=webp&s=e3bc1051f1fb01b84a4f422729bef3b2d008240c https://preview.redd.it/dsw3481xt82h1.png?width=1156&format=png&auto=webp&s=ac8c24d7b20801c9d08deb4fb3fa51bb7adc3fbd submitted by /u/thebirthdayg1rl [link] [comments]

C'mon man...

Kimi's trying to gaslight me into thinking we're in the past. Only checked it out because I've seen some people here recommend it as a "cheap" option. Would not recommend. submitted by /u/Ventem [link] [comments]

Streamline your accounts payable audits. Prompt included.

Hello! Are you struggling with organizing and validating accounts payable data for home-services or construction companies? This prompt chain helps automate the process of normalizing, checking for duplicates, and validating invoices and receipts. It lays out a step-by-step method for managing and reviewing financial documents effectively! Prompt: VARIABLE DEFINITIONS [CONTRACTOR_NAME]=Legal name of the home-services contracting company that is reviewing payables. [SOURCE_DATA]=Full combined text (or links to OCR text) from the cycle’s supplier invoices, receipts, job-cost spreadsheets, and vendor contract terms. [OUTPUT_LEVEL]="summary" for a one-line per issue list, "detailed" for expanded explanations and source references. ~ You are a senior Accounts-Payable Audit Assistant for construction and home-services firms. Your first task is to NORMALISE all raw information supplied in SOURCE_DATA. Step 1 Parse every document, identify and extract the following fields where available: • Vendor Name • Document Type (Invoice / Receipt) • Document No. • Document Date • Job or Cost-Code / PO No. • Line-Item Description • Quantity & U/M • Unit Price • Line Total • Invoice Sub-Total, Tax, Grand Total • Contract Reference Price or Rate • Budgeted Amount for that Job-Cost line (from spreadsheets) • Standard Approver (from company policy or prior data) Step 2 Return one master table named "MasterCharges" with the above columns. Step 3 If information is missing, leave the cell blank but keep the row; do NOT guess values. Output: MasterCharges table only. ~ You are still the AP Audit Assistant. Using MasterCharges, perform a DUPLICATE CHECK. Step 1 Identify potential duplicates by matching any TWO of the following: (Vendor Name + Document No.), (Vendor Name + Line-Item Description + Amount + Date within ±2 days), or exact hash of line totals. Step 2 List all suspected duplicates in a table: Vendor, Document No., Date, Duplicate Matched With, Reason Flagged. Step 3 Add a "Needs AP Review? (Y/N)" column defaulting to "Y". Output only this duplicates table. ~ Validate JOB or COST-CODE completeness. Step 1 Scan MasterCharges for blank or obviously invalid Job / PO numbers (e.g., fewer than 4 digits, non-alphanumerics). Step 2 Return a table: Vendor, Document No., Line Description, Amount, Missing or Invalid Job No. (Yes/No), Suggested Next Action. ~ Check PRICE & CONTRACT compliance. Step 1 For every line in MasterCharges that has a Contract Reference Price, compare Unit Price against Contract Price. Step 2 Flag if Unit Price exceeds Contract Price by >0.5%. Step 3 For lines with Budgeted Amounts, flag if (Cumulative Actual > Budget) OR (Unit Price > Budget / Quantity by >5%). Step 4 Output a table: Vendor, Doc No., Job No., Description, Contract Price, Invoiced Price, % Variance, Budget Over/Under, Flag Type (Contract or Budget), Needs Manager Approval? (Y/N). ~ Compile the QA CHECKLIST for payment release. Step 1 Aggregate all flagged items from previous prompts. Step 2 Structure the checklist with these sections: A) Duplicate Charges B) Missing or Invalid Job Numbers C) Price / Budget Mismatches D) Questions Requiring Manager / Approver Input Step 3 For each item include: Reference ID, Vendor, Doc No., Issue Summary, Recommended Action. Step 4 If OUTPUT_LEVEL = "summary" show one line per issue; if "detailed" append a Notes column citing exact source lines or clause numbers. Step 5 End with a YES/NO question: "Is this checklist complete and ready for AP manager review?" ~ Review / Refinement Please examine the QA checklist produced. 1. Confirm that all duplicate charges, missing job numbers, price mismatches, and approval questions are represented. 2. Indicate if additional data or clarification is required. 3. Respond with one of: • "Approved – proceed with payment processing once issues are cleared" • "Needs Revision – see comments" Provide comments if revision is needed. Make sure you update the variables in the first prompt: [CONTRACTOR_NAME], [SOURCE_DATA], [OUTPUT_LEVEL]. Here is an example of how to use it: [CONTRACTOR_NAME] = "YourContractor LLC" [SOURCE_DATA] = "[link to invoices]" [OUTPUT_LEVEL] = "detailed" 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! submitted by /u/CalendarVarious3992 [link] [comments]