Additional skills aligned with the listed Handshake AI project requirements. These are presented as skills/capabilities and do not claim completion
of the paused or ended projects.
• AI Model Response Evaluation: evaluate, compare, rank, and critique model-generated responses using domain-specific reasoning, factuality
relevance, clarity, and quality criteria.
• STEM Pairwise Evaluation: compare two AI-generated answers and determine which response is stronger based on technical correctness
,reasoning quality, completeness, and adherence to requirements.
• AI Reasoning & Web-Search Evaluation: design difficult prompts, identify model failures, test web-search behavior, assess reasoning chains
and evidence quality, and document failure modes.
• Prompt Engineering & Adversarial Testing: create challenging prompts designed to expose weaknesses in AI reasoning, retrieval, instruction
following, and answer quality.
• Multimodal AI Data Evaluation: review and assess audio, visual, and text data for quality, consistency, relevance, and annotation accuracy.
• Computer Vision & Video Data Collection: capture short smartphone/iPhone videos, follow recording instructions, document everyday
environments, and maintain consistent framing and data quality.
• POV Video & Visual Data Capture: first-person video recording, scene coverage, camera positioning, environmental capture, and adherence to
collection protocols.
• Software Codebase Analysis: analyze complex codebases, trace program behavior, identify defects or inconsistencies, assess implementation
quality, and reason about existing software architecture.
• Software Engineering Evaluation: review coding practices, architecture, maintainability, application-development workflows, documentation
testing, and technical trade-offs.
• App Development Assessment: evaluate application functionality, implementation quality, user-facing behavior, technical correctness, and
software-development practices.
• AI Annotation & Data Quality: text classification, visual labeling, audio review, multimodal annotation, taxonomy application, consistency
checking, and dataset quality assurance.
• AI Safety & Failure Analysis: identify hallucinations, logical errors, unsupported claims, instruction-following failures, and other model
weaknesses through structured evaluation.
• Technical Writing & Rubric-Based Judgment: apply evaluation criteria consistently, explain comparative decisions, summarize findings, and
produce concise evidence-based assessments.
• Human-in-the-Loop AI Evaluation: provide structured human judgment to improve model accuracy across STEM, software, multimodal
reasoning, and web-search tasks.
of the paused or ended projects.
• AI Model Response Evaluation: evaluate, compare, rank, and critique model-generated responses using domain-specific reasoning, factuality
relevance, clarity, and quality criteria.
• STEM Pairwise Evaluation: compare two AI-generated answers and determine which response is stronger based on technical correctness
,reasoning quality, completeness, and adherence to requirements.
• AI Reasoning & Web-Search Evaluation: design difficult prompts, identify model failures, test web-search behavior, assess reasoning chains
and evidence quality, and document failure modes.
• Prompt Engineering & Adversarial Testing: create challenging prompts designed to expose weaknesses in AI reasoning, retrieval, instruction
following, and answer quality.
• Multimodal AI Data Evaluation: review and assess audio, visual, and text data for quality, consistency, relevance, and annotation accuracy.
• Computer Vision & Video Data Collection: capture short smartphone/iPhone videos, follow recording instructions, document everyday
environments, and maintain consistent framing and data quality.
• POV Video & Visual Data Capture: first-person video recording, scene coverage, camera positioning, environmental capture, and adherence to
collection protocols.
• Software Codebase Analysis: analyze complex codebases, trace program behavior, identify defects or inconsistencies, assess implementation
quality, and reason about existing software architecture.
• Software Engineering Evaluation: review coding practices, architecture, maintainability, application-development workflows, documentation
testing, and technical trade-offs.
• App Development Assessment: evaluate application functionality, implementation quality, user-facing behavior, technical correctness, and
software-development practices.
• AI Annotation & Data Quality: text classification, visual labeling, audio review, multimodal annotation, taxonomy application, consistency
checking, and dataset quality assurance.
• AI Safety & Failure Analysis: identify hallucinations, logical errors, unsupported claims, instruction-following failures, and other model
weaknesses through structured evaluation.
• Technical Writing & Rubric-Based Judgment: apply evaluation criteria consistently, explain comparative decisions, summarize findings, and
produce concise evidence-based assessments.
• Human-in-the-Loop AI Evaluation: provide structured human judgment to improve model accuracy across STEM, software, multimodal
reasoning, and web-search tasks.
❤3
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Outliet wheezing and laughing project link
Outliet wheezing and laughing project link
Look at this.
A 3D documentary channel just got monetized with only 1 video.
7.9K subscribers.
1 video.
514K views in a month.
That single video was made in Blender. Estimated cost, $1,000-3,000 for one video.
Now imagine running this same style with AI instead of traditional 3D.
No $2K per video. No long production time. Just a locked system that lets you upload every 3 days across multiple channels.
That's exactly what I'm doing right now with 10+ channels, including ones like Lume and Blackfiles, generating $100K+/month combined.
Tool stack, what you actually need 👇
→ Claude AI, the free tier works, but grabbing the paid plan makes the whole workflow smoother, well worth it
→ ElevenLabs, free tier is fine to start
→ Flow AI for images, completely free, always
→ CapCut for editing, completely free
→ Flow AI's image-to-video tool, this is the one that actually matters, normally $300/month, I set students up with shared access for $30/month, unlimited generation
A 3D documentary channel just got monetized with only 1 video.
7.9K subscribers.
1 video.
514K views in a month.
That single video was made in Blender. Estimated cost, $1,000-3,000 for one video.
Now imagine running this same style with AI instead of traditional 3D.
No $2K per video. No long production time. Just a locked system that lets you upload every 3 days across multiple channels.
That's exactly what I'm doing right now with 10+ channels, including ones like Lume and Blackfiles, generating $100K+/month combined.
Tool stack, what you actually need 👇
→ Claude AI, the free tier works, but grabbing the paid plan makes the whole workflow smoother, well worth it
→ ElevenLabs, free tier is fine to start
→ Flow AI for images, completely free, always
→ CapCut for editing, completely free
→ Flow AI's image-to-video tool, this is the one that actually matters, normally $300/month, I set students up with shared access for $30/month, unlimited generation
❤2
That's genuinely it. Everything else runs free or close to it.
No editing experience needed either. With my workflow, a full 20-minute video is ready in 4 hours, script to finished upload. No previous experience of any kind required.
I built the complete course on how to run cinematic 3D documentary channels with AI, same visual style, but scalable and affordable.
For the next 24 hours the course is only $100. After that the price goes to $499.
If you've been wanting to start this exact model, this is the window.
No editing experience needed either. With my workflow, a full 20-minute video is ready in 4 hours, script to finished upload. No previous experience of any kind required.
I built the complete course on how to run cinematic 3D documentary channels with AI, same visual style, but scalable and affordable.
For the next 24 hours the course is only $100. After that the price goes to $499.
If you've been wanting to start this exact model, this is the window.
If you have edu mails dm.
We have something new going on 😂✅ we give a try
We have something new going on 😂✅ we give a try