AI Services Projects

AI Agents Creation and Deployment Workshop

Hi, We are looking for a freelancer/trainer who can conduct an AI workshop for our team, specifically focused on AI Agent Creation and Deployment. Our team has limited technical knowledge, so we need someone who can teach from the basics in a simple, practical and easy-to-understand way. We would like the training to cover: Understanding AI Agents and how they work How to identify tasks that can be automated using AI Agents Creating AI Agents using available AI tools Building AI Agents with minimal/no coding where possible Connecting AI Agents with business tools and workflows Practical AI Agent use cases for Marketing, SEO, Customer Support, Sales and Operations How to test, use and deploy AI Agents Hands-on training where the team creates a simple working AI Agent Guidance on how the team can continue creating and using AI Agents after the training We are looking for practical training rather than a purely theoretical workshop. Please share your experience in AI Agent training, workshop structure, duration, availability and pricing. Also, please share examples of AI Agents or corporate training you have previously worked on, if available. Thank you.

Course module explanation Video

We require a skilled Video Editor to produce animated course-module explanation videos. Using provided templates and course materials, you will synchronize on-screen text with narration and enrich content with relevant animated visuals. Videos should clearly explain concepts for students, maintain consistent styling, and ensure pacing appropriate for durations ranging from 30 to 60 minutes. Attention to detail, smooth motion graphics, readable typography, and timely delivery are essential.

SolidWorks Part & Drawing Review

We are looking for an experienced SolidWorks engineer to review an existing 3D part model and 2D drawing for reasonable engineering and manufacturing requirements. The review will cover: Dimensions, tolerances, and critical geometry Material specifications Surface finish, passivation, and coating requirements Consistency between the model and drawing Title block, revision, and drawing information Any missing or unclear engineering details The first task is to review one part and its associated drawing, identify issues, and make necessary updates. Additional parts may follow based on the quality of the initial work. Requirement: Commercial SolidWorks license with the ability to edit and save files.

opportunity

Test build for AI coaching agent

I am looking for a developer who can build a lightweight, hosted chat application that wraps an existing system prompt around the Anthropic Claude API and gives my testers a shareable URL. This is a testing and validation build. Please read the attached detailed spec. Developer Brief: Purpose Coaching Agent — Test Build I have developed and tested a new coaching agent's system prompt and am now ready to deploy a simple hosted version so a small group of nonprofit leaders can test it and give me feedback. Requirement A lightweight, hosted chat application that wraps our existing system prompt around the Anthropic Claude API and gives testers a shareable URL. This is a testing and validation build - I want the simplest thing that works well. Scope - Build a chat web application with the following: - Clean, mobile-responsive chat interface - Calls the Anthropic API using Claude Sonnet 4.6 (model string: `claude-sonnet-4-6`) - Our system prompt (provided separately) is loaded server-side and is not visible or accessible to end users - Conversation history maintained within a session (no persistence across sessions required at this stage) - A welcome message displayed when the user first opens a conversation - Simple branding: our logo, our primary brand colour (#0F4C81 — Classic Blue), and the name "Purpose Coaching Agent" - A brief footer or note indicating this is a prototype for testing purposes - A simple passcode gate so that only people we give the passcode to can access the chat — nothing more than a single shared passcode stored as an environment variable - The ability for us to update the system prompt without redeploying the application Needs to deploy free or low-cost hosting with: - A shareable public URL - Our Anthropic API key stored securely (not in the codebase) - No account creation or login required for testers beyond the passcode above Not Needed - User authentication or individual user accounts - Conversation history saved to a database - Admin dashboard or analytics - Rate limiting or abuse prevention (access is controlled by passcode and we are sharing the link with fewer than 20 people) - RAG, document retrieval, or knowledge base integration Technology Streamlit with Streamlit Community Cloud hosting or a Next.js or Flask app deployed to Vercel or Railway would be fine. If you want to use something else, let me know why and the benefits. The system prompt should be stored in a configuration file or environment variable that I can edit directly (not hard-coded into application logic). What I’ll Provide - The full system prompt (a text document, approximately 3,000 words) - Logo file (PNG, transparent background) - Brand colour: #0F4C81 (Classic Blue) - An Anthropic API key for development and testing - Feedback and sign-off within 24 hours of deliverable Deliverables 1. Source code in a private GitHub repository (transferred to our GitHub account on completion) 2. Deployed, working application with a live URL 3. Brief setup notes: how to update the system prompt, how to change the passcode, how to redeploy if needed, where the API key is stored Timeline Completed within five working days of commissioning with actual build of one to two days. Budget Please quote a fixed price. Please include: - A fixed-price quote and estimated delivery timeline - One or two examples of similar work (a chat interface calling an LLM API, or any Anthropic/OpenAI API integration) - The framework and hosting platform you would use, and why - Confirmation that you're comfortable with the Anthropic API specifically

Make.com and OpenAI

I’m looking for an AI automation specialist to build a practical workflow using Make.com and OpenAI. I want to automate a repetitive business process that currently requires manual work. What I need: Make.com automation workflow OpenAI integration Trigger and action configuration Custom AI instructions/prompts Connection to the required business applications Data processing and workflow logic Error handling where appropriate Testing with real sample data Clear explanation of the completed workflow The exact workflow will be discussed with the selected freelancer. I’m open to recommendations if there is a better way to structure the automation. The ideal freelancer should have experience with Make.com, OpenAI API, webhooks and third-party integrations. Please provide examples of AI automations you have built and explain briefly what was automated. Deliverable: A tested Make.com + OpenAI automation that performs the agreed business process reliably.

opportunity

Zendesk AI Customer Support Expert Needed

We are looking for an experienced AI / Zendesk / Customer Support Automation specialist to help us turn our historical support data into a comprehensive knowledge base and AI-powered customer service system. Phase 1 – Analyse Zendesk History We have thousands of historical customer conversations in Zendesk. We want these analysed to identify and categorise: - Common customer questions - Technical support & PC troubleshooting - Order and delivery enquiries - Returns, collections & refunds - Warranty enquiries - Cancellations - Damaged/missing items - Marketplace enquiries - Common responses from our team - Complaints & escalations - Situations requiring human intervention The objective is to extract the valuable knowledge contained within years of real customer conversations and convert it into structured, reusable company knowledge. Phase 2 – Build Our Knowledge Base We want a properly structured internal knowledge base covering our products, policies, procedures, troubleshooting and customer service processes. We DO NOT simply want thousands of previous responses copied into a database. Information should be reviewed, consolidated and structured so AI can reliably understand: Customer Question → Relevant Company Knowledge → Correct Recommended Response Where historical answers conflict or company policy is unclear, these should be flagged for our team to review rather than AI making assumptions. This knowledge base should become the central source of truth for both our staff and AI. Phase 3 – AI-Assisted Zendesk Responses We then want AI integrated into our Zendesk workflow. Initially, AI should draft responses rather than automatically send them: Customer Email → AI Analyses Ticket → Searches Knowledge Base → Reviews Relevant Context → Drafts Response → Agent Reviews/Edits → Send AI should also learn our preferred customer service tone/style from approved examples. Accuracy is extremely important. AI must be grounded in approved company knowledge and must not invent policies, warranty information, technical instructions or promises to customers. Clear rules should determine when AI can confidently assist and when a ticket requires human escalation. Phase 4 – Further AI & Automation We also want you to identify other opportunities to automate our customer service operation, including: - Automatic ticket classification/tagging - Intent & priority detection - Complaint/sentiment detection - Suggested macros/responses - Ticket summarisation - Chargeback/dispute detection - Urgent order/delivery detection - Technical support routing - Repeat-contact identification - Automatically requesting missing information - AI troubleshooting assistance - Suggested follow-up questions - Quality checking agent responses - Reporting on common contact reasons - Identifying recurring product faults/issues We would eventually like to investigate extending the system to assist with Amazon, eBay and Temu customer messages, subject to available APIs/integrations. Important We are NOT looking for someone to simply connect ChatGPT to Zendesk. We want someone capable of understanding our business, analysing historical data and designing a reliable, scalable AI customer service infrastructure. We are open to Zendesk's native AI capabilities, OpenAI/LLMs, RAG, vector databases, APIs and third-party automation platforms. We want the successful applicant to recommend the best architecture rather than us dictating the technology. Experience We're Looking For Ideally you will have experience with: - Zendesk & Zendesk APIs - OpenAI / LLM integrations - RAG & AI knowledge bases - Vector databases / semantic search - Customer support automation - E-commerce customer service - API/workflow automation - Prompt engineering & AI evaluation - GDPR/data privacy Previous experience building AI customer service systems from historical ticket data is highly desirable. When Applying Please explain: 1. Your Zendesk experience. 2. Similar AI customer service systems you have built. 3. How you would analyse thousands of historical tickets. 4. How you would structure our knowledge base. 5. How you would integrate AI-generated drafts into Zendesk. 6. How you would minimise hallucinations/incorrect responses. 7. Your recommended technology/architecture. 8. Any Amazon/eBay/marketplace integration experience. 9. Estimated timeframe and approach. Please provide examples of similar projects where possible. Our Goal We want to create an AI customer service co-pilot that helps our team respond faster and more consistently while maintaining human oversight. The system should reduce repetitive work, preserve our accumulated company knowledge and allow customer service to scale with our sales volume. If successful, there will likely be ongoing work maintaining, improving and expanding the system.

Build an affordable, better-than-MidJourney image-generation bot

We seek a lean, affordable image-generation platform that surpasses MidJourney in UX and cost-efficiency. Deliverables: Discord/Slack bot, simple web UI for prompts and gallery, fast stylized and photoreal TTI with upscaling, variation/seed controls, prompt templates, credits-based low-cost model, NSFW moderation, community gallery, saved prompts and voting. Team: full-stack engineer, ML engineer to optimize open-source diffusion models with quantization/batching, DevOps for low-cost inference and scaling, optional prompt artist for templates and UX copy.

AI video - Realistic

SIARR BLACK FRIDAY — “THE SHIPMENT” Length: 25–30 seconds Format: Vertical 9:16 Style: Cinematic, realistic, premium, mysterious Important: No people or faces shown at any point. Hands may be shown when interacting with the phone if required. SCENE 1 — THE WHATSAPP MESSAGE Duration: 0–6 seconds Visual: Close-up of a smartphone being taken out. WhatsApp opens to a conversation saved as “Supplier”. The message is typed naturally, letter by letter: SIARR: “Hi, where is our Black Friday shipment? When can we expect delivery?” Pause. The WhatsApp typing indicator appears. Supplier replies: SUPPLIER: “Hi, the container is due to arrive on Friday 20th November.” SIARR responds: SIARR: “Perfect, thank you.” Audio: Quiet cinematic background music begins. Realistic phone typing and WhatsApp notification sounds. As the supplier's response arrives, the music starts to build. SCENE 2 — THE PORT Duration: 6–12 seconds Transition: As soon as “Friday 20th November” appears, hard cut to black. Deep cinematic impact sound. Visual: Wide cinematic shot of a large UK shipping port at dawn or dusk. Rows of shipping containers and huge industrial cranes. A crane is lowering a black shipping container prominently branded with the white SIARR logo. Close-up of the SIARR logo on the side of the container. The container is slowly lowered onto the back of a waiting articulated lorry. Everything should look photorealistic and expensive, like a major brand campaign. Audio: Deep industrial port sounds. Crane machinery. Container locking into position with a heavy metallic CLUNK. Music continues building. SCENE 3 — THE IMESSAGE Duration: 12–16 seconds Visual: Cut back to close-up of the smartphone. An iMessage notification appears: DELIVERY COMPANY: “Hi SIARR, your container will be delivered on Friday. Can you accept delivery then?” The reply is typed: SIARR: “Yes.” Message sends. Immediately cut away. SCENE 4 — THE ARRIVAL Duration: 16–22 seconds Visual: Cinematic exterior shot of the SIARR warehouse. The articulated lorry carrying the SIARR-branded black container slowly approaches the warehouse. Low camera angle. Close-up of the wheels moving. Cut to the SIARR logo on the container. The vehicle comes to a stop. Music continues building toward the reveal. SCENE 5 — CONTAINER REVEAL Duration: 22–27 seconds Visual: Camera positioned directly behind the container. The container doors slowly swing open. No person is visible opening them. Inside, the container is completely packed with stacked cardboard boxes. The camera slowly pushes toward the boxes. Every box carries SIARR branding. The most prominent boxes clearly read: SIARR BLACK FRIDAY EVENT 23/11 — 8PM Hold on this image. Music reaches its peak. FINAL SHOT Duration: 27–30 seconds Cut to black. Large clean white text appears: THE SHIPMENT HAS ARRIVED. Brief pause. Then: SIARR BLACK FRIDAY 23/11 — 8PM DON'T MISS IT. SIARR logo appears underneath. End with a deep cinematic impact sound. AI VIDEO DIRECTION The entire advert should feel photorealistic, cinematic and premium, not obviously AI-generated. Use dark blacks, industrial greys, dramatic lighting and strong contrast to complement the SIARR branding. The shipping container should remain visually consistent throughout every scene: the same black container with the same white SIARR logo. The warehouse, lorry, container and boxes should look realistic and appropriately scaled. Do not show any people or faces. The pacing should start slowly and mysteriously, then progressively increase as the container gets closer to the warehouse. The big reveal is the writing on the boxes, so avoid mentioning the event date prominently before the container doors open. The audience should initially wonder: “What has SIARR ordered?” The answer is revealed in the final few seconds: SIARR BLACK FRIDAY EVENT — 23/11 — 8PM Please show me examples of previous AI video, do not message if you have not created similar style videos previously. We can discuss price once project details are confirmed.

Ai software contractor portal development

UK-BASED DEVELOPER REQUIRED – SUBCONTRACTOR DATABASE & COMPLIANCE PORTAL NWI Reactive Ltd is a UK reactive maintenance business managing a nationwide network of 500+ subcontractors. We currently manage our network through spreadsheets and manual processes and want a secure, simple web-based subcontractor database, onboarding and compliance portal. We are a small business with four office employees and are interested in AI-assisted/low-code development where appropriate to keep development and ongoing costs commercially sensible. We are not specifying the technology or platform and welcome recommendations. UK-BASED DEVELOPERS ONLY PLEASE. CORE PURPOSE Our coordinators need to quickly search our subcontractor database by: Trade + Location/Postcode + Compliance Status Example: Drainage + PR7/North West + Compliant Results should show: Company | Coverage | Compliance | Contact | Phone | Email | Call-Out | Hourly Rate Our team will then contact subcontractors using our existing business systems. CORE REQUIREMENTS - Import existing 500+ subcontractor Excel database - Central contractor profiles - Multiple contacts per company - Multiple trades per contractor - Multiple regions/postcode coverage areas - Call-out/hourly rates - Fast search by trade, location and compliance - Contact details visible in search results - Online new subcontractor application/PQQ - NWI approval/rejection/request-information workflow - Secure subcontractor self-service portal - Contractors can update their own details - Compliance document uploads - Document issue/expiry dates - Trade-specific compliance requirements - Automatic expiry monitoring/reminders - Clear Compliant/Non-Compliant status - Show why a contractor is non-compliant - Secure staff access - Contractors can only access their own information - Mobile-friendly contractor portal - Excel/CSV data export - NWI Reactive branding COMPLIANCE Different trades require different documents/accreditations and we need to configure these requirements ourselves. A contractor profile should clearly show, for example: NON-COMPLIANT Public Liability – EXPIRED Employers Liability – VALID CHAS – EXPIRED The contractor should be able to upload replacement documents. NWI then reviews/approves them and the compliance status updates. NOT REQUIRED We do not require job management, quotation management, CRM, invoicing, accounting, payroll, scheduling, fleet management, timesheets, performance ratings, complex reporting or a customer portal. DEVELOPER REQUIREMENTS We are looking for a UK-based freelancer or small UK development business. Please confirm where in the UK you are based and whether development will be completed by you/your UK team. Please refer us to relevant examples within your PeoplePerHour portfolio if available. QUOTATION Please provide: - Proposed technology/platform - Fixed build cost - Any recommended development phases - Total anticipated cost to reach a fully live system - Estimated delivery timescale - Ongoing monthly/annual costs - Hosting/database/storage costs - Software/licence costs - Maintenance/support costs - What post-launch support is included We want to understand the true total cost of ownership before appointing a developer. We are particularly interested in economical solutions using AI-assisted development, low-code or other modern development methods where appropriate, but security and reliability are essential. DATA & OWNERSHIP NWI must retain ownership and control of its subcontractor data and be able to export it. Please explain your proposed hosting, database and application ownership arrangements as part of your proposal. WHEN RESPONDING Please start your proposal with "NWI PORTAL" and confirm: 1. Where in the UK are you based? 2. Have you built a similar database/portal? 3. What technology would you recommend? 4. Can you import 500+ Excel records? 5. Can contractors have multiple contacts, trades and coverage areas? 6. Can we search trade + postcode/location + compliance simultaneously? 7. Can contractors securely maintain their own details/documents? 8. Can compliance automatically change based on expired/missing documents? 9. Can compliance requirements vary by trade? 10. Can expiry reminders be automated? 11. Can NWI amend trades/compliance requirements ourselves? 12. What is your fixed build price? 13. What ongoing costs should we expect? 14. What is your delivery timescale? 15. What support is included? We prefer written communication through PeoplePerHour during the quotation process. END GOAL A job arrives requiring Drainage in PR7. Our coordinator searches: Drainage + PR7/North West + Compliant Within seconds we see suitable subcontractors, their compliance status, contact details and rates. That is fundamentally what we need the platform to achieve.

Agent for blog content creation seo optimised

I'm looking for someone who can help to create an seo spécialised agent to create blog content in eeat /geo Each content must be written in french and mist include geo optimisation for llm Thematics : professional training

opportunity

I need a AI website development team.

Currently we are opeating medium sized shop and it is growing larger and larger so we felt the need to expand on a large scale. Also we are looking for an experienced AI development team to build a arge-scale AI shopping assistant platform for our online marketplace. The goal is to create an intelligent shopping experience that helps customers discover products, make purchasing decisions, receive personalized recommendations, and get automated support throughout their shopping journey. Estimated Timeline is 6~12 months.

I am looking for someone to find job titles for 6,000 contacts

I have a list of 6000 UK based contacts. We already have their name, company they work for, and email address. We now need someone to accurately find each of their job titles. Data Quality Expectations: * High accuracy (no guesswork or random scraping) What We’re Looking For: * Proven experience in B2B data enrichment / lead generation * Strong research skills (especially UK companies) * Ability to maintain accuracy at scale * Clear communication and structured delivery To Apply: Please include: 1. Your approach to finding verified founder emails 2. Turnaround time 3. Estimated time it will take you

Build an Intelligent AI Agent for Automated Inventory Management

We are looking for an experienced AI developer or automation expert to design and deploy a custom AI agent tailored for real-time inventory management. The goal is to automate tracking, optimize stock levels, and reduce manual workload across our supply chain. Key Responsibilities: Develop an AI agent that monitors inventory levels in real-time across channels/warehouses. Implement predictive capabilities to forecast demand, prevent stockouts, and flag overstock risks. Create automated alerts and triggers for automated purchase order drafting when stock falls below reorder thresholds. Integrate the AI agent with our existing system (e.g., Shopify, QuickBooks, Custom ERP, or database). Required Skills: Proven experience building custom AI agents (using frameworks like LangChain, AutoGen, or similar). Proficiency in Python, API integrations, and database management (SQL/NoSQL). Background in supply chain, inventory management systems, or e-commerce integrations.

Geat ready Sir

I am ready For all video and photos editing ☺️

Assessment Scientist to Upgrade AI Hiring Prompts (Fast Start)

We are Pynea, a London-based hiring intelligence platform. We replace CV-led screening with observable evidence of how candidates think, decide and adapt. Our system runs three assessment signals and produces a Living Profile of each candidate. We need someone to take our existing library of assessment prompts and rubrics and make them world class: sharper at eliciting real signal, tighter at scoring it, and defensible under UK and EU employment law. We move at pace. This has a fixed deadline. We need someone who can start within days and work in tight iterative loops with our team, not someone who disappears for a fortnight and returns with a document. This is not a prompt engineering job. Prompt craft is the surface. The actual work is assessment design: construct clarity, elicitation quality, rubric reliability, and adverse impact risk. If your background is LLM optimisation without assessment or selection experience, this will not be a fit. What you will do - Audit our current prompts and scoring rubrics against assessment design principles - Rewrite them for construct validity, consistency and reduced proxy signal for protected characteristics - Strengthen rubrics so two independent raters would reach the same score - Make every output explainable in plain language to the candidate it describes - Document your reasoning so our permanent team can maintain and extend the work What we need you to bring - Real experience designing or validating selection assessments, structured interviews or work samples - Working knowledge of Equality Act 2010 indirect discrimination risk, and ideally EU AI Act Annex III obligations for hiring systems - Practical fluency with LLM behaviour: you can write, test and iterate prompts yourself - Judgement about what makes a question reveal character rather than rehearsal Nice to have - BPS Chartered Occupational Psychologist, SIOP membership, or equivalent - Experience at an assessment vendor such as SHL, Arctic Shores, Applied, Sova, Talogy or HireVue - Published work on validity, fairness or adverse impact in AI assisted hiring How this runs - Full context and materials provided under NDA. Shortlisted candidates complete a short paid work sample before we award the main contract. Strong likelihood of ongoing work beyond the initial scope. To apply Skip the generic cover letter. Answer the screening questions below. We read those first and nothing else. Tell us your earliest start date in your first line. SCREENING QUESTIONS 1. Describe one selection assessment you designed or validated. What construct was it measuring, and how did you know it worked? 2. A hiring prompt asks candidates to describe a time they overcame adversity. Name two ways that question could produce indirect discrimination risk, and how you would fix it. 3. We measure a construct that appears in no published competency framework. How would you validate it? 4. What is the most common mistake you see in LLM based candidate scoring?

Claude AI Website

I need t obuild a Claude AI Website, conten is there and a brief layout. Nedd someone who os highly professionell can can lead the project!

Looking for a proffesionell who can build Website with Claude AI

Looking for a proffesionell who can build Website with Claude AI

Senior Prompt Engineer - Evaluation, Scoring and Reliability

We need an experienced prompt engineer to design reliable LLM-based evaluation and scoring workflows. You must understand semantic alignment, rubric decomposition, structured outputs, calibration, prompt sensitivity, model bias, context handling, and failure analysis - not simply write persuasive instructions. The work requires improving scoring consistency across paired inputs, distinguishing genuine meaning from superficial language overlap, and testing performance against paraphrases, contradictions, omissions, formatting changes, and adversarial cases. To apply, describe your evaluation methodology, experience building LLM judges, approach to measuring reliability, and one difficult consistency problem you solved. Include anonymised examples and tools used. Responses to this advert generated by LLMs will be auto-rejected To eliminate AI responses to the questions below, there is very special question below! 90% of AIs answer it incorrectly (its an unstable question) Advanced prequalification questions 1. You are designing an LLM judge to determine whether a supplier’s reply meaningfully addresses a buyer’s request. Replies using identical wording receive higher scores than accurate paraphrases. What is the best first intervention? * A. Increase temperature to expose the judge to more interpretations * B. Instruct the judge to assess semantic coverage, explicitly distinguish lexical overlap from meaning, and provide contrasting scored examples * C. Remove the buyer’s original request from the prompt * D. Reward replies containing the buyer’s most frequent terms 2. A reply correctly addresses four requirements but confidently contradicts a fifth, critical requirement. Your judge often gives it a high overall score. Which rubric design is strongest? * A. Ask for a holistic score based on overall helpfulness * B. Score each requirement separately, identify contradictions, apply a critical-failure rule, and then calculate the overall result * C. Tell the judge to penalise inaccurate responses * D. Increase the maximum score so errors have less influence 3. Two semantically equivalent replies receive materially different scores when their order, formatting, or writing style changes. Which evaluation approach best isolates the problem? * A. Run each version repeatedly, randomise irrelevant presentation features, and measure score variance by transformation type * B. Reduce both replies to the same word count * C. Set temperature to 1.0 and compare one result from each * D. Ask a larger model which reply is better 4. An LLM judge must assess whether a response covers every material element of a complex request. Which prompt architecture is most robust? * A. Ask for one immediate score to minimise token usage * B. First extract atomic requirements, then map response evidence to each requirement, classify coverage, and derive a schema-constrained score * C. Ask the model to explain its reasoning before reading the response * D. Provide a long definition of quality and request a percentage 5. Your judge achieves 92% agreement with human labels, but performance falls sharply on short, indirect, or poorly written inputs. What should happen next? * A. Deploy because overall agreement exceeds 90% * B. Add more examples of well-written inputs * C. Segment results by input characteristics, build targeted adversarial cases, revise the rubric, and recalibrate against disputed human-labelled examples * D. Increase the system prompt’s authority and repeat the same test 6. A candidate claims that requiring detailed chain-of-thought will make scoring more accurate and auditable. Which response shows the strongest understanding? * A. Correct; longer reasoning always improves accuracy * B. Correct, provided temperature is zero * C. Not necessarily; use explicit intermediate classifications and evidence fields, validate outputs, and evaluate accuracy empirically without depending on unrestricted hidden reasoning * D. Incorrect; LLM judges should return only a number Please answer each question with A,B,C orD. For each, add your percentage certainty of your answer and your reasoning.

opportunity

Website search and extract/compare agent

i want to develop Ai agents that will log onto a list of websites (approx 80) and run a set of searches daily. i need them to then compare one days results against the other and then only present me with new listings that weren't thre the day before. if the results could be presented on Dashboard or Claude Artifact that lets me then click and see the source listing that is also important i use Claude, i have login details for every website but we will need to counter captcha forms etc. im happy to run it from Clause Chrome Browser but my input should be minimal. APIs have not worked neither has scraping i have tried this project every way except AI websites include ebay (global search) ebay.de in particular catawiki reddit vinted cragislist etc

I need a flyer

Seeking a polished, professional flyer design to promote an event or service. The deliverable must include a visually striking single-sided layout, high-resolution print-ready file (PDF and PNG), editable source file, cohesive typography, and color palette. Design should convey clarity, strong hierarchy, and brand-appropriate tone. Applicant must demonstrate prior flyer experience and deliver within deadline. Creativity, attention to detail, and adherence to print specifications are essential. Competitive bids welcome.