Walkthroughs of real work.
Recorded sessions of agents, applications, and offensive tooling built and shipped by FJK Group.
Outbound Messaging Agent.
Autonomous prospect research and personalized outreach across channels.
An autonomous agent that researches prospects, drafts personalized outreach in the client's voice, and orchestrates sequences across email, LinkedIn, and SMS. Replaces a fragmented stack of SDR tools and the manual drudgery in between.
Listing Image Studio.
From ASIN to 16 listing-ready images in under 15 minutes.
The Amazon creative agency that runs on AI, without looking like it. Brand-faithful AI image generation built for Amazon sellers.
An internal AI platform built to scale Amazon listing image production without losing the strategic depth of a senior creative director. Drop a product ASIN, fill a brand intake, upload your packaging photo. The system analyzes your top eight competitors, builds a complete creative brief, and generates sixteen listing-ready images: one main hero (two variants), seven secondary images covering the proven conversion sequence, and seven text-free clean variants for designer post-production. Every prompt is grounded in real competitor data, the client's actual brand colors and voice, and exact product dimensions, so the output looks like a brand a designer would build, not generic AI.
Five steps. Zero filler.
- 01
Brand intake
Structured form: locked hex codes, voice samples, real headlines, product dimensions, ideal customer profile, target keywords, top competitors, spelling locale (US / UK / AU / CA), font preference, and optional per-image copy direction for any of the eight image slots.
- 02
Competitor intelligence
Pulls live Amazon data for the target ASIN plus eight competitors (pricing, reviews, BSR, gallery), then runs AI vision analysis on every competitor's main listing image to identify visual weaknesses worth exploiting.
- 03
Strategic brief
A three-call frontier LLM pipeline produces a full creative brief: per-competitor strengths and weaknesses, a superiority map, customer profile, USPs derived from real competitive gaps, conversion-sequence shot plan, and per-image specs (composition, text density, prop density, background, text placement).
- 04
Image generation
Sixteen images generated by a frontier image model at 1600 × 1600 (Amazon spec). Every prompt is built from ten-plus conditional blocks pulling from the brief, the intake, and AI-extracted brand identity. Frame-budget math controls prop sizes, food-fidelity rules prevent hallucinated cooked food across images, and packaging-fidelity rules anchor every image to the real product photo.
- 05
Designer-grade delivery
Each image lands in a card with its full spec, copy-paste-ready headlines and callouts, version history, per-card text-placement controls, tweak-prompt regeneration, and PNG plus layered PSD download. Clients see a before / after comparison with strategic justifications and can download a presentation PDF.
- Amazon agencies producing listing creatives at scale
- Brands launching multiple SKUs who need faster iteration without losing brand control
- Creative teams that want AI as a force multiplier, not a replacement for strategy
Next.js 15 (App Router) on Vercel. Supabase for Postgres, Auth, and Storage with row-level security. A frontier LLM for strategy and shot briefs. A frontier image model for image generation. A vision model for label OCR, brand identity extraction, and competitor image analysis. Rainforest for live Amazon data. PSD export via ag-psd. PDF presentations via @react-pdf/renderer.
Most AI image tools generate generic, on-trend output that looks plausible but doesn't sell. This studio treats AI as the production engine inside a real creative strategy.
AI doesn't decide what the listing should say or look like. The competitive analysis, the brand intake, and the designer's per-card edits do. The result is image stacks that read as deliberately art-directed for one specific Amazon shopper journey, not as generic AI output dropped on a product photo.
Mobile, too.
Wonderfat is a consumer app we built and shipped end to end.
If your AI play needs to live in someone's pocket, that's in scope. Ingredient capture via on-device OCR, a proprietary toxicity scoring model, and a real-time grade UI, all in one app.
The point is not the skincare app. The point is that the AI work we ship for you can ship native, too.
Listing Optimization Workbench.
From niche ID to ranked, scored, version-controlled Amazon listing in one continuous flow.
AI-powered Amazon listing optimization with live SEO scoring against the top competitors while you type.
Same three things. Every time.
Amazon copywriters lose hours stitching together competitor reports, keyword research, and brand intake notes across Data Dive, Jungle Scout, spreadsheets, and Word docs.
Every listing demands the same three things: a 200-character title that leads with the right keywords, five bullets that hit benefit-led prose without keyword-stuffing, and a 250-byte backend block deduped against the visible copy. Every copywriter ends up rebuilding that pipeline by hand for each client.
One workbench. One flow.
A single web application that takes a client intake form and produces a ranked, scored, version-controlled Amazon listing in one continuous flow. Copywriters open the workbench, paste a Data Dive niche ID, click “Run analysis,” and watch the system pull every relevant keyword, every top competitor, and every ranking-juice metric into a curated workspace.
They prune the keyword list, target the ones they want to rank for, and click “Generate full listing.” Optimized copy streams onto the screen in real time, with live SEO scoring that projects exactly where the listing will rank against the top competitors while you type.
Next.js 16 (App Router) on Vercel. Supabase for Postgres, Auth, and row-level security. A frontier LLM with streaming output. Data Dive and Jungle Scout APIs for live niche intelligence. Tailwind v4 and shadcn/ui on the interface layer. Built as a turnkey internal workbench but architected to scale to multi-tenant SaaS with minor adjustments.
What used to take a copywriter 2 to 4 hours of cross-tool spreadsheet work now takes 15 minutes inside one workbench.
The team produces listings that follow consistent rules, look the same across every client, and ship to the brand with a clear reasoning trail attached.
Custom recordings against your stack, threat model, or use case can be arranged.