We are seeking an experienced freelancer to audit our automated lead follow-up system. The ideal candidate will have a strong background in AI automation and be able to evaluate the effectiveness of our current system. Responsibilities include identifying areas for improvement and providing actionable insights to enhance performance. If you have a passion for AI and a keen eye for detail, we would love to hear from you!

I'm a seasoned entrepreneur and technologist with a background in computer engineering, automated marketing solutions, law and business development. I've developed (or helped develop) over 45 web and mobile applications. I have over a decade of experience building ventures across the globe, including in the US, South Korea, Singapore, UAE, the UK, and the Netherlands. Over the past few months, I have been developing two projects: -BibleOnThis (dotcom) -TheWayVersion (dotcom) I do not have a real brand or content strategy yet for these... I have taken the approach to just focus on the quality of these products, as I feel guided to pursue these endeavors. However, my weakness is GTM, and I am seeking an expert to consult and help with these two projects. With regard to The Way Version project, here is a video I made that inspired that project several months ago: https://www.youtube.com/watch?v=dq81-xtar2M I have never gone to market with.a project like this and seeking consultations (perhaps 1-3 times per week) to get these projects off the ground.

AI Developer Needed – Build Us a Marketing AI Agent We need a skilled developer to build an AI-powered Marketing Assistant for our business. **Core Tasks the Agent Will Handle:** - Appointment setting & lead qualification - Copywriting (emails, ads, social content) - Automated follow-up sequences - Lead research and CRM updates **Requirements:** - Experience with AI agent frameworks (LangChain, CrewAI, AutoGen, etc.) - Strong prompt engineering skills - Ability to integrate with our existing tools (CRM, calendar, email) - Past projects to show us – links or demos preferred **Budget:** Open to discussion based on scope **Timeline:** Looking to kick off within 1–2 weeks

Our team recently built a new tool for prospecting with AI: https://rivereditor.com/space-packs/ai-lead-finder The tool allows BDRs, SDRs, and AEs to find prospects through social channels (LinkedIn, X, Reddit, etc.) who are talking about their problems. This allows them to engage with their prospects organically and win their trust before reaching out to them individually. We're looking for seasoned salespeople who can provide critical feedback on whether such a solution would be useful (or identify adjacent opportunities that we can tackle), and help us improve our positioning and GTM approach. Initially, we'll book a paid 30 minute meeting with the potential to work together further across multiple feedback sessions (or, perhaps even on the GTM if there's a strong fit).

We are an investment firm with a portfolio of healthcare companies. We are seeking to begin building our data capture systems across our business and layer AI to surface summarize and store insights. This is a process that is in parallel to our operations team SOP'ing our process in anticipation of expansion. It is our opinion that we have a relatively simple business process from end to end and lots of potential to capture useful data signals across each department/function. We have drafted a rough business process / data ontology diagram showing our preferred approach. We are seeking an expert to: 1 ) Create lightweight data systems to capture data signals from end to end across our business (Recruiting to Onboarding to Scheduling to Payroll to Finance to Legal to). This also includes organizing and categorizing our past / existing data in addition to capturing signals for future data. 2 ) Layer AI / agentic AI automations that can surface insights, categorize and aggregate info, populate knowledge databases, etc. Example Data Signals / Use Cases: Fireflies recorded meetings Tagging emails in inbox as Legal/Finance/Scheduling/Onboarding etc Job Board Postings Airtable (For building a lightweight scheduling/employee management system) (For storing a knowledge database and rolodex) To Apply: Please briefly present an instance of implementing a similar lightweight solution to capture data signals and convert the data into meaningful and actionable insight via AI

Hey there, I'm Tommy. I’m looking for a sharp growth strategist / go-to-market thinker to help evaluate how a new digital platform concept would actually gain traction in the real world. Important Context: I am NOT looking for: Ad management Generic marketing advice Surface-level suggestions I’m specifically looking for someone who can: Evaluate messaging strength Challenge positioning Identify what would actually make people engage Project Overview: The concept involves: A membership-based platform A content and engagement-driven environment A central incentive structure tied to participation What I Need From You: I want to explore: 1. Messaging & Positioning Does this concept make immediate sense? Is it compelling or confusing? What would turn people off? 2. Trust & Skepticism What would make users hesitate or doubt it? Does anything feel “too good to be true”? 3. First User Acquisition How would you get the first 50–100 users? What messaging would actually convert? 4. Engagement Reality Check Will people actually participate consistently? What assumptions about behavior are unrealistic? 5. Simplicity & Hook What is the core hook of this idea? What should be emphasized vs removed? 6. Go-To-Market Direction If you were launching this, what would you do first? Ideal Candidate: Experience with: early-stage startups consumer apps or platforms membership or community-based products Strong understanding of: user psychology positioning behavioral engagement Willing to give: direct, honest feedback not just positive reinforcement Budget: I've set the budget at $50 in order to have you read a 3 page document detailing the concept in full and give me feedback. I'm imagining it'll take 10 minutes max to read the document and under an hour for a full evaluation. Cheers and thank you!

We are seeking an experienced Claude AI Trainer based in or near Los Angeles, CA to deliver role-based AI training for approximately 120 employees across multiple departments. Audience Finance – 20 employees Development / Campaign – 25 employees Programs (multiple teams) – 40 employees HR & IT – 12 employees Leadership – 5 employees Facilities / Administration – 20 employees Training Structure Phase 1: AI Foundations (2–4 Hours) All employees will receive a shared foundation covering: - Claude AI fundamentals - Responsible and effective AI usage - Prompting best practices - Organizational AI guidelines and governance - Common business use cases Phase 2: Department-Specific Workshops Following the foundation session, each department will participate in hands-on workshops (approximately 4 hours per team). Workshops should focus on real-world applications relevant to each group's responsibilities, such as: - Finance reporting and analysis - Fundraising and campaign communications - Program operations and documentation - HR and IT workflows - Executive productivity and decision support Training Style We are looking for a highly interactive approach: - Hands-on learning - Brief demonstrations followed by guided exercises - Participants applying Claude to their own work - Real business scenarios and practical outcomes - Participants will be encouraged to bring one or two actual work tasks to complete during the session. Delivery Los Angeles-based trainer preferred In-person delivery preferred Remote delivery may also be considered Requirements - Demonstrated experience training professionals on Claude AI and/or enterprise generative AI tools - Experience designing and delivering role-based AI training programs - Strong facilitation and workshop leadership skills - Ability to customize examples and exercises for different business functions Compensation $1,200 USD per training day To Apply Please provide: - A summary of your relevant AI training experience - Examples of previous corporate AI training engagements - Your location and availability - Your proposed training approach for this audience