Need an experienced developer to integrate an AI-powered feature into an existing application. Small scope, fast turnaround

I am a licensed hairstylist with over 20 years of experience in the beauty industry. I’m looking for a skilled iOS developer to help build the first version (MVP) of a mobile app designed specifically for hairstylists. The app will help stylists determine hair color formulas and track client color history using AI. Project Overview: Stylists will be able to upload a photo of a client’s hair, enter information about the current hair level and desired color result, and receive an AI-assisted color formula suggestion. The app will also allow stylists to save formulas and notes for each client. This will start as an MVP with the potential to expand into a larger platform for hairstylists. MVP Features: • User account creation and login • Upload hair photo • Input current hair level and desired color • AI-generated hair color formula suggestions • Save formulas and notes for clients • Client profile with photo and formula history • Clean and simple UI designed for hairstylists Technical Requirements: • Experience building iOS apps using Swift or SwiftUI • Experience integrating AI APIs (OpenAI or similar) • Experience with Firebase, Supabase, or similar backend services • Ability to prepare the app for Apple App Store submission Timeline: Looking to complete the MVP within 6–8 weeks. Budget: Open to proposals (fixed price or hourly depending on experience). When applying please include: • Links to iOS apps you’ve built • Any AI-related projects you’ve worked on • Your suggested tech stack for this project • Estimated timeline and cost for an MVP I’m looking for someone reliable who communicates well and is interested in building tools for the beauty industry.

Overview We run an AI voice assistant for self-storage operators. We have an internal, AI-assisted workflow for triaging call feedback — investigating what happened on a call, diagnosing the root cause in our codebase, and drafting fixes. We’re looking for someone technical to run that AI-assisted workflow day to day and help us make it better. You’ll be driving AI coding agents, reading real code to understand behavior, and improving the process and tooling itself. What you’ll do Use our AI agent tooling to work through a queue of customer feedback on AI voice calls. Read our TypeScript/Node codebase (voice-agent prompt assembly, workflow/“SOP” engine, tool implementations) to diagnose why the agent behaved a certain way — not just guess. Draft fixes: workflow-instruction edits, knowledge-base entries, or code changes via pull request with a clear verification plan. Improve the triage process itself — refine the AI agent prompts/skills, conventions, and the internal MCP tooling that powers it. Write clear, customer-facing summaries of what changed for our team to review and approve. You’re a great fit if you Read and reason about code confidently — ideally TypeScript/Node; React a plus. Have hands-on experience driving AI coding agents (Claude Code, Cursor, or similar) and understand how LLM prompts/tools/agents fit together. Think in cause-and-effect: “the agent did X because line Y / instruction Z.” Write precisely and concisely for both technical and non-technical audiences. Are process-minded — you spot the repetitive thing and turn it into a better workflow. Bonus: prompt engineering, LLM tool/agent development, or voice/conversational AI experience. How we work We’ll start with a paid trial on a small batch, then scale steady ongoing volume. To apply: Tell us about a time you used an AI coding agent to diagnose or fix something non-trivial in a codebase you didn’t write — what you did, and how you verified it worked. A link to relevant work is a plus.

Role Overview You are the Executive AI Enablement Lead at AIVC, the person whose job is to make the executives at AIVC’s client businesses true power users of Claude, Cowork, and code- and agent-driven workflows. AIVC partners with operator businesses to drive AI-led EBITDA growth, and part of that work is bringing each company’s most senior leaders up the AI curve. You’re the person who personally designs and runs that path on every engagement: assessing where a given client executive is today; curating the right materials, videos, and course content; running 1:1 coaching; building executive playbooks; and acting as their daily operator-in-the-loop until the new workflows stick. The first concrete instance is already lined up, a named client managing partner has explicitly asked for the fastest path to becoming a power user of Claude, Cowork, and Claude Code / Skills. From there you scale: same treatment to additional client executives across the portfolio, then a documented set of executive-grade playbooks and patterns that compound across every future engagement. You are bias-toward-results – a win is the client executive’s calendar-week looking different, not a beautifully written rubric nobody uses. What You’ll Own (Outcomes) • Within 30 days of pairing with the first client managing partner, they have a working daily routine in Claude, Cowork, and Code/Skills that’s already replacing or improving how they handle at least three recurring tasks • Within the first quarter of the engagement, the client executive is a true power user — running multi-step workflows, custom Skills/Projects, and agent-assisted tasks without needing coaching scaffolding for the basics • A documented set of executive playbooks (research, writing, analysis, synthesis, workflow automation, agent-assisted tasks) that compound across every client engagement, not one-offs • A curated, current library of learning materials, videos, example workflows, and Claude-native patterns — including a clear point of view on which external courses, tutors, or expert resources are worth plugging in • Observable change in how client executive cohorts use AI: from reactive chat to repeatable, structured, outcome-oriented workflows • A foundation of training assets and patterns that scales beyond executive coaching into broader client teams in year two • A reputation among AIVC’s clients as the trusted go-to for “how do I do this better in Claude” — measured by inbound demand and engagement expansion What You’ll Do (Responsibilities) • In the first weeks: build the first client managing partner’s tailored upskilling plan — assess current usage, identify the highest-leverage workflows for their day-to-day, curate the right mix of materials / videos / course content, and recommend any tutor or expert-guided support to fold in • Provide 1:1 coaching for client executives — managing partners, founders, C-suite leaders — on Claude, Cowork, and code- and agent-based workflows • Design tailored training plans per executive that go beyond basic onboarding into advanced usage, with explicit progression from chat → workflows → agents • Curate the best external materials (videos, courses, blog posts, example projects) and rewrap them into client-ready, AIVC-flavored learning paths • Teach practical, high-leverage use cases live: research, writing, analysis, synthesis, workflow automation, and agent-assisted tasks • Help client executives move from general chat usage into repeatable workflows — Claude Projects, Skills, scheduled Cowork tasks, MCP integrations, custom agents • Serve as a real-time tutor and expert resource for client executives — over Slack, in meetings, on-site, and in async written feedback • Run office hours, workshops, and informal Q&A sessions inside client teams to keep adoption sticky between coaching sessions What We’re Looking For (Required) • Deep hands-on expertise with Claude across every surface (Claude.ai, Claude Projects, Claude Code, Claude Skills, Claude API) — and an active habit of pushing the edges of each • Strong working fluency with Claude Cowork specifically, including scheduled tasks, connected apps / MCPs, and the broader workflow surface • Strong capability with code-enabled AI workflows: you can write Python and/or TypeScript, build agents, configure MCP integrations, and ship a working internal automation end-to-end without needing an engineer • Demonstrated ability to teach non-technical but highly demanding users — you’ve made executives, founders, or senior operators meaningfully better at something complicated, not just trained engineers • Strong workflow design instinct — you can translate messy business questions into clean prompts, workflows, and systems • Polished, discreet, and effective in high-touch client executive settings — high EQ, low ego, comfortable representing AIVC inside senior client environments and around senior decision-makers • Strong bias toward practical results over theoretical AI knowledge — the metric is the client executive’s behavior change, not the elegance of the explanation • Excellent written and verbal communication; you can write a playbook a client executive will actually read and use • Comfort with significant travel to client sites and embedded, on-site engagement work • 5+ years of professional experience across some mix of: applied AI / ML, technical training and enablement, developer relations, solutions engineering, executive coaching, management consulting, or chief of staff / senior operator roles to executives Helpful If You Have (Preferred) • Prior experience coaching or supporting C-level executives, founders, or managing partners as a client-facing professional — executive coach, principal solutions engineer to executive customers, chief of staff to a CXO, or partner-level consultant • Background that combines technical depth with people skills — developer relations, solutions engineering, technical training, or learning & development at a frontier AI or developer-tools company • Direct experience building executive-facing training programs or curricula that demonstrably moved adoption inside other organizations • Hands-on familiarity with the Anthropic product surface specifically: Claude Projects, Claude Skills, Claude Code, MCP server development, Claude API • Track record of getting non-technical users to genuinely adopt a technical tool — i.e., users who chose to keep using it after the training ended • Background in management consulting, professional services, executive coaching, or learning & development — especially in environments where the customer was a senior external client • An active personal portfolio of AI work (workflows, automations, blog posts, talks, open-source contributions) you can point to • Comfort building light tooling (a Notion playbook system, a Claude Skills catalog, a small dashboard) without needing engineering support • Familiarity with AIVC’s model — operator business engagements, EBITDA-led measurement, and the broader compounding intelligence layer — or eagerness to come up the curve quickly

Need someone to build me an CFO ai agent that can analyze monthly P&Ls and Balance Sheets from multiple different businesses within a franchised system. The financials will be in PDF format. Also need the ai agent to transfer funds from checking accounts to PayPal every week (I currently do this manually so it's setup, just want it automated)

Mobile app for continuous searching. Enter a query in the search box powered by AI to sharpen up the requst, chose the duration of the search using pop up calendars. Hit submit, the app will continuously search for new information starting ONLY from the start date to the end date. When a new query is found, the app notifies and displays the web link to be clicked on and reviewed. Once the link has been viewed, the link goes from green to red to represent the link has been view and the customer now can delete that notification. The notification includes a time date stamp when the notification was found. Possibly to use AI in the search box to articulate the request being searched. This is a continuous notification app. The customer will have up to 10 queries and 10 notifications per query. The app has to be compatible for Android and IOS. As far as security, there is no information to steal, the customer only needs to creat a login and password, no personal information collected no billing. Billing is handled by the Playstore and Apple store. The app will be subscription based based on the frequency of the search. Ex: search frequency every hour, or search frequency every 5 minutes.

Seeking a highly-experienced software developer based in the US. The ideal candidate will have multiple skills with very strong experience 8+ years with PDP, Javascript, MySql, managing hosting servers, knowledge of Flutter and API development, experience using AI to assist in software development, must be an independent individual, not a firm. U.S. Based only. Individuals posing as being U.S. based please "do not" respond we will discover this. Responsibilities include developing, maintaining and advancing software applications, collaborating with cross-functional teams, and ensuring high-quality deliverables. Must be highly accessible by Telegram, email or phone/Zoom. Able to work independently and manage projects effectively. Strong ethics, integrity and character with an entrepreneurial attitude.

We are looking for an experienced full-stack software engineering team to help architect and build the MVP for a workflow-driven SaaS platform. This is an early-stage startup project with long-term growth potential. We are intentionally keeping the business concept high-level during the initial screening phase and will provide additional details after NDA and qualification discussions. The platform will involve: * Multi-step workflows * User accounts and permissions * Dynamic forms and guided processes * Document management and storage * Dashboard interfaces * Mobile and web support * Notification systems * Payment integration * Audit/history tracking * API integrations * Scalable backend architecture * Future AI/data integration capabilities We are looking for a team that can help: 1. Build the MVP foundation correctly 2. Establish scalable engineering standards 3. Recommend best practices for long-term growth 4. Create a maintainable and scalable architecture from day one? Preferred Stack: * Frontend Web: Next.js * Mobile: React Native + Expo * Backend: NestJS * Database: PostgreSQL * Language: TypeScript We are open to recommendations if there is a strong technical reason for an alternative approach. MVP Goals: * Secure user authentication * Role-based access control * Guided workflow engine * Dashboard UI * File/document upload system * Backend API architecture * Database schema design * Mobile ready architecture * Admin portal * Activity logging/history * Notification system * Payment processing integration * Scalable folder/repository structure * Shared codebase strategy where appropriate * Documentation and handoff standards We’re looking for: * Strong system architecture experience * SaaS platform experience * Experience designing scalable backends * Experience building both web and mobile products * Strong communication * Ability to think through workflows and edge cases * Someone who can challenge assumptions and improve the product technically * Experience working in fast-moving startup environments Nice to Have: * Experience with workflow engines * Experience with compliance-heavy systems * Experience with document automation * Experience with AI integrations * Experience with data aggregation systems * DevOps/cloud deployment experience Please include: * Relevant SaaS projects * Your recommended stack and why * Experience with scalable systems * Whether you recommend monorepo architecture * Experience with React Native + Next.js shared codebases * Estimated MVP timeline * Team structure (if applicable) * Your preferred development workflow/process Bonus if you can explain complex technical decisions in simple business terms.

I need a developer to build an AI visibility audit tool for destination marketing. The core logic is already defined and I have a full spec. I need someone who can build it clean and ship it. What the tool does: it queries ChatGPT, Gemini, Claude and Perplexity with a fixed set of real traveler questions, captures whether a destination shows up and where its competitors land, scores the result, and drafts a short report. Roughly 15+ questions, each run a few times per platform, with web search enabled. What I need built: The query engine across all three platforms, running on my own API keys Integration with my existing scorecard backend A gated flow: a personal emailed link that runs once per user, results delivered by email A saved-run database I can log into and review, so every run is stored from day one Built to be re-run on a schedule later (this becomes an ongoing monitoring product) Two non-negotiables: It runs entirely on my API accounts and keys. Billing and ownership sit with me. I own all code and IP outright. This is a defined, finish-and-ship project, not open-ended. I'll share the full spec with candidates who look like a fit. US-based candidates only. Skills LLM / OpenAI API, Gemini API, Perplexity API, API integration, Python (or your stack — tell me), backend development, database design, prompt engineering If interested, please respond with the following answers to be taken seriously: Describe a tool you've built that calls LLM APIs in production. What did it do and what was your specific role? How would you handle the fact that AI answers vary run to run? How do you make a score that holds up to scrutiny? What's your approach to keeping per-query API costs controlled at volume? Rough estimate on timeline and cost for a project scoped like this.