Freelance Prompt Engineers in CaliforniaFreelance Prompt Engineers in California
ProjectsPeople
Nikol Hayes's avatar
Nikol Hayes
proSan Francisco, USA
AI Campaign Assets + Agents for DTC Growth
$100k+
Earned
19x
Hired
5.0
Rating
274
Followers
TOP_INDEPENDENT

Top

IDEOGRAM_EXPERT

Partner

+1
AI Campaign Assets + Agents for DTC Growth
Cover image for Just made my first AI true crime mini film! 🎬 I heard Warne...
Just made my first AI true crime mini film! 🎬 I heard Warner Bros is looking for AI creators to produce dramatization scenes for true crime content. Growing up on Investigation Discovery, I had to try it. Created a ~2 minute Nordic noir-style film using Sora 2's Cameo feature and CapCut. The concept: moody interrogation with flashbacks - those dramatic reenactments where they show couples fighting before something happens. That vibe. The process: → Detailed scene prompts for lighting, framing, emotional tone → CapCut for pacing & transitions Honestly surprised by the depth of emotion AI captured. Not perfect and there are inconsistencies, but it's exciting to see what's possible. After 3 months of creating AI content for brands, exploring narrative storytelling was a fun creative challenge. This is what's possible now!
2
16
1.1K
Cover image for AI Wellness Product Photography Spec Work
AI Wellness Product Photography Spec Work
3
75
Cover image for Cinematic Storytelling for Liquor Brands
Cinematic Storytelling for Liquor Brands
6
208
Cover image for Luxury AI Product Visuals for Cannabis Brands
Luxury AI Product Visuals for Cannabis Brands
4
62
Prompt Engineer(15)
Yonatan Tesfaye's avatar
Yonatan Tesfaye
proLos Angeles, USA
AI Automation Engineer | n8n, Agents & Integrations
New to Contra
AI Automation Engineer | n8n, Agents & Integrations
Cover image for Fundory — Grant Intelligence for
Fundory — Grant Intelligence for Nonprofits Grant funding runs on a brutal arithmetic: most applications fail, and the ones that fail still cost weeks of a small team's time. Nonprofits with two or three staff are spending that time writing into opportunities they were never positioned to win. Fundory attacks the problem upstream. Instead of helping organizations write faster, it decides what's worth writing at all. Every discovered grant is screened against the organization's actual profile and returned with a fit score, so a 65% never consumes the effort a 91% deserves. The product states its threshold plainly: apply above 85%. The pipeline runs Discovered → Screened → Waiting for Approval → Drafted → Closed, with AI moving work forward and humans holding the approval gate. Drafted proposals carry two separate scores — model confidence and draft quality — because those measure different risks and collapsing them would hide the one that matters. I built the screening and scoring layer, the document and narrative system that grounds drafts in the organization's real history, and the pipeline that keeps 28 live opportunities legible to a team without a grants department. Honest signal over generated volume.
3
107
Cover image for Bench — AI Agents for
Bench — AI Agents for Small Teams Solo founders don't lack AI tools. They lack the people who would use them. Most products hand you a blank text box and quietly make you the operator so the inbox still doesn't get triaged and the content calendar still doesn't get built. Bench inverts that. Instead of a chat interface, it's a hiring interface. You staff a bench of role-trained specialists — an Executive Assistant, a Lead Generator, a Social Media Manager, a Marketing Manager — each scoped to real responsibilities with its own tool access and definition of done. They work in the background and report status: working, done, needs review. I built the agent orchestration behind it, the role definitions that keep each specialist in its lane, and the review layer that surfaces anything consequential before it ships. Drafts land in the founder's voice. Nothing gets sent without a human seeing it first. The design constraint throughout was trust. Multi-agent systems fail when they act confidently in the wrong direction, so the product is architected around visible work and cheap correction rather than silent autonomy. Built for the smallest teams to deploy what used to require a payroll.
2
83
Cover image for An n8n pipeline that monitors
An n8n pipeline that monitors prospect social accounts, decides what's worth responding to, drafts on-brand comments with Claude, and posts them through a real browser session with human review built in.
1
80
Cover image for Nova4AI Command Center Most AI agent
Nova4AI Command Center Most AI agent products give you one assistant and a text box. Nova4AI gives you a fleet you can watch work. Ten specialists run as a team a Researcher, a Coder, a Designer, a QA reviewer, an Archivist, a Prospector, an Optimizer with Navi orchestrating: routing tasks, running standups, pulling teammates into threads with an @mention. Every agent takes voice input. The core of the build is the Live Feed. Agent-to-agent handoffs stream in real time, each carrying a task ID, trace ID, source system, and timestamp. When Kenzo passes work to Relay, you see the message and can follow the trace. Multi-agent systems usually fail silently and invisibly; this one is auditable by default. Around the fleet sits the actual business surface: CRM and lead pipeline, proposals, performance analytics, projects, a shared memory layer, docs, and a skills registry. Agents write real artifacts to real endpoints and integrate outward through MCP and n8n. At the time of this screenshot: 10,983 activities in a day, 5,017 feed messages, 110 tasks open and 42 closed. Built so you can hand work to a team and still know exactly what happened.
1
62
Prompt Engineer(3)
Kalann Washington's avatar
Kalann Washington
proLos Angeles, USA
Brand Voice Sculptor & Storyseller || Me = AI + Authenticity
$10k+
Earned
7x
Hired
5.0
Rating
43
Followers
TOP_INDEPENDENT

Top

Brand Voice Sculptor & Storyseller || Me = AI + Authenticity
Cover image for What I Learned Working with a Giant ‘Evil' Tech Company — Pa...
What I Learned Working with a Giant ‘Evil' Tech Company — Part 1 (or: How I Helped Train an A.I. Model Without Losing My Soul) You know which one. From May 2023 to July 2024, I worked on a long-term A.I. content evaluation project through Tech Mahindra (agency) for one of the largest, most powerful tech companies on the planet. Now, I can’t name them (NDA), but...they might rhyme with "Doodle." The project focused on assessing generative A.I. performance at scale—used by millions of users worldwide. What started as basic annotation turned into a masterclass in managing scale, building documentation, designing training systems, and evaluating human-A.I. interaction. Peep the Comments for More 👇☝🏾
3
3
386
Cover image for Chimp 'Chump' to Champ
Chimp 'Chump' to Champ
0
361
Cover image for Capture Campaign
Capture Campaign
0
159
Cover image for A Brand Called for Design
A Brand Called for Design
0
93
Prompt Engineer(1)
Jay Hernandez's avatar
Jay Hernandez
proLos Angeles, USA
AI Content Creator & Expert Video Editor. Let's Create!
30
Followers
AI Content Creator & Expert Video Editor. Let's Create!
Cover image for Veo3 Brand Commercial Prompting
Veo3 Brand Commercial Prompting
0
95
Cover image for The Exit | Varelli Monaco AI Commercial
The Exit | Varelli Monaco AI Commercial
0
2
Cover image for Software Video Production and Web Development
Software Video Production and Web Development
0
5
Cover image for Nocteur - Luxury Watch Cinematic Campaign
Nocteur - Luxury Watch Cinematic Campaign
1
25
Prompt Engineer(1)