DEV Community: gpt ai clips

I Turned My Entire AI Video Workflow Into One Skill

gpt ai clips — Sun, 19 Jul 2026 03:22:43 +0000

I Turned My Entire AI Video Workflow Into One Skill. Watch the full breakdown and grab the complete guide.

Watch the full video and subscribe for more AI + Claude Code content: https://www.youtube.com/@gptaiclips

More guides and videos: https://www.youtube.com/watch?v=PpILOW-AmuQ

Claude Fable 5 Talks Too Much… This Fixes It #Shorts

gpt ai clips — Sun, 05 Jul 2026 19:53:37 +0000

Claude Fable 5 Talks Too Much… This Fixes It #Shorts. Watch the full breakdown and grab the complete guide.

Watch the full video and subscribe for more AI + Claude Code content: https://www.youtube.com/@gptaiclips

More guides and videos: https://gptaiclips.com

Claude Fable 5 Talks Too Much — This Caveman Fix Cuts Tokens 65%

gpt ai clips — Sun, 05 Jul 2026 19:17:31 +0000

Claude Fable 5 is sharp but verbose. This caveman prompt fix cuts its output tokens by about 65 percent without losing quality.

Watch the full video and subscribe for more AI + Claude Code content: https://www.youtube.com/@gptaiclips

More guides and videos: https://gptaiclips.com

I Tested the Most Upvoted Claude Code Repo on GitHub — Here's What You Get

gpt ai clips — Sat, 13 Jun 2026 11:15:45 +0000

Boris Cherny created Claude Code at Anthropic. When he publicly endorses a third-party repo, developers pay attention.

The repo is shanraisshan/claude-code-best-practice — 57,590 GitHub stars, 5,800 forks, MIT licensed. I cloned it, installed it, and ran it against a real PR. Here is exactly what you get.

What's bundled in one repo

Most Claude Code users piece together their workflow from scattered sources. This repo ships everything pre-integrated:

Subagents — spec-reviewer, quality-checker, test-driven-loop
Slash commands — /code-review, /weather-orchestrator and more
Skills — reusable modules that persist across sessions
Hooks — lifecycle interceptors at key reasoning checkpoints
MCP servers — Model Context Protocol configs ready to go

Install — 30 seconds, 3 commands

git clone https://github.com/shanraisshan/claude-code-best-practice.git
cd claude-code-best-practice
cp -r .claude/agents   ~/your-project/.claude/
cp -r .claude/commands ~/your-project/.claude/
cd ~/your-project && claude

Run /weather-orchestrator to confirm everything is wired. You'll see a full agent team spin up.

The workflow: /code-review

Type /code-review inside Claude Code with any PR open. Claude spawns three subagents in sequence:

spec-reviewer — compares the diff against the spec, flags misalignments
quality-checker — lints, type-checks, surfaces edge cases
test-driven-loop — writes tests, runs them, iterates until passing

Output: inline comments by severity, a generated test suite, suggested fixes behind a confirm prompt. Teams report saving 1–3 hours of senior review time per PR.

The five-stage engineering loop

Research → Plan → Execute → Review → Ship

Each stage maps to a specialized agent with a focused context window. Separation of concerns at the AI layer beats a single generalist prompt every time.

Grab the free PDF guide

The EP88 guide at gptaiclips.com has the full install commands, the top 11 Claude Code repos ranked by stars, and a breakdown of every bundled feature.

Watch the full 59-second demo: https://www.youtube.com/watch?v=83_Gvh5b9nI&utm_source=devto&utm_medium=syndication&utm_campaign=83_Gvh5b9nI

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I Shipped a $10K 3D Scroll Site in 90 Seconds Using Claude Fable 5 + Higgsfield MCP

gpt ai clips — Thu, 11 Jun 2026 03:16:31 +0000

Here's how I wired up Claude Fable 5 and the Higgsfield MCP to generate agency-grade animated scroll websites for roughly $4-$5 per build — and how to price them at $8K-$12K.

Watch on YouTube: Claude Fable 5 + Higgsfield MCP: $10K Animated Websites From 1 Prompt

The Stack

Claude Fable 5 dropped June 9, 2026 — Anthropic's new coding flagship. The key numbers: 95% on SWE-bench Verified, 1M token context, 128K output. It also reads screenshots to clone any site's design patterns, which is the feature that makes this whole workflow sing.

Higgsfield MCP launched April 30, 2026. It's a single OAuth connector that slots 30+ image and video models directly into Claude Code, Cursor, Codex, or any other MCP-compatible agent. Models include Kling 3.0, Seedance 2.0, Veo 3.1, Nano Banana Pro, Flux, and more. Output: 4K stills + up to 15s cinematic clips at ~$1-$2/gen.

Install Higgsfield MCP (90 Seconds)

1. Open Claude Code → click + (bottom right) → Connectors → Manage connectors
2. Click + at top → Add custom connector
3. Name: Higgsfield
4. URL: grab the MCP endpoint from higgsfield.ai/skills (MCP tab)
5. Complete Google OAuth → sign in to Higgsfield
6. Toggle ON → set "Always allow"

Alternative: npx skills add higgsfield-ai/skills

The Money Prompt

Paste this into Claude Code after install:

"Use the scroll cinematic skill. Build a 3D scroll site for [BRAND]. 
Generate a high-end cinematic hero plus two 3D clips with the Higgsfield MCP at 1080p. 
Slice them into scroll frames and build a polished brand multi-section site that matches its vibe. 
Then launch it on localhost."

Fable 5 architects the scroll logic and component structure. Higgsfield renders the cinematic hero and video clips. The agent assembles scroll-triggered frames. Output: a deployable, Awwwards-caliber 3D scroll site.

Cost Per Build

Component	Cost
Fable 5 tokens (~30K in / 50K out)	~$2.80
Higgsfield image (Nano Banana Pro)	~$0.20-$0.40
Higgsfield video (Kling / Seedance)	~$1.00-$1.50
Total per build	~$4-$5

Iteration round adds ~$1-$2. So a fully polished, client-ready 3D scroll site costs you under $10 in API spend.

Agency Pricing Sheet

Hero landing page: $3K-$5K (2-3 days)
Full 3D scroll brand site: $8K-$12K (multi-section, 3 Higgsfield clips)
Clone-a-site: $5K (screenshot an Awwwards winner, Fable 5 rebuilds the aesthetic)
Retainer: $2K/mo to keep the site current weekly

Where to sell: Upwork, X/LinkedIn video demos, Awwwards Jobs, cold DM to Series A startups.

Pricing Note on Fable 5

Fable 5 is $10/M input and $50/M output. On Max plans it's included free until June 22, 2026. After that it's metered — but at the build cost math above, even at full rates this stays absurdly profitable.

Resources

Claude Fable 5: anthropic.com/claude/fable
Higgsfield MCP: higgsfield.ai/skills
GitHub (community MCP): github.com/geopopos/higgsfield_ai_mcp
Free PDF guide (connector URL + prompt + pricing sheet): gptaiclips.com/guides/ep87-fable-higgsfield
Subscribe: GPTAIclips on YouTube
Full post: https://gptaiclips.com/claude-fable-5-higgsfield-mcp-build-10k-animated-3d-scroll-websites-from-one-prompt/

Affiliate disclosure: GoHighLevel — the CRM we use to manage AI workflow client projects. Try free trial

Listen on Spotify: GPTAIclips Podcast

Google Jules: 15 Free PRs Per Day With an Autonomous Gemini 3 Pro Agent

gpt ai clips — Wed, 10 Jun 2026 21:09:49 +0000

Think about the last time you had a backlog of small GitHub issues you kept pushing off — dependency bumps, minor bug fixes, test coverage gaps. Google Jules was built for exactly that workload, and the free tier gives you 15 shots at it every single day.

What Is Google Jules?

Jules is a fully asynchronous autonomous coding agent from Google, powered by Gemini 3 Pro on paid tiers and Gemini 2.5 Pro on the free tier. Unlike copilot-style tools, Jules operates end-to-end without your input:

You describe the task in plain English
Jules clones your GitHub repo into a private Google Cloud VM
Plans the work, writes tests first, generates a complete diff
Opens a PR with a clear change description
You review, merge, or comment to iterate

There is nothing to install. No local environment. No terminal. The VM spins up per task, does the work, and tears down.

Pricing Tiers

Tier	Price	Tasks/day	Concurrent	Model
Free	$0	15	3	Gemini 2.5 Pro
AI Pro	$19.99/mo	100	15	Gemini 3 Pro
AI Ultra	$249.99/mo	300	60	Gemini 3 Pro
New Ultra	$100/mo	~150	~30	Gemini 3 Pro

AI Pro also bundles the Gemini app, 5 TB Drive, and YouTube Premium.

Monetization Use Cases

Bug-fix bounty hunting — hit Gitcoin or IssueHunt, run Jules on labeled issues, collect bounties on merged PRs.

Version-bump retainers — sell monthly contracts ($200–$500) to keep deps current. Jules does the work, you collect the retainer.

Test-coverage contracts — take a repo from 40% to 80% coverage. High-value, highly automatable.

10x freelance velocity — Jules handles the grunt-work PRs; you focus on architecture and client relationships.

Why This Is a Big Deal

True async AI coding at no cost, frontier-model reasoning, zero install, and native GitHub integration haven't been combined in a free tier before. The $0 entry point makes this accessible to every developer today.

Watch the full breakdown: Google Jules: 15 Free PRs a Day

More guides at gptaiclips.com

Career-Ops: Claude Code + 740 Jobs = 1 Dream Role (open-source, 51k stars)

gpt ai clips — Wed, 10 Jun 2026 06:02:07 +0000

Watch the 60-second breakdown:

Why this matters for devs

Santiago Fernandez (@santifer) just open-sourced Career-Ops — a job-hunt orchestration layer that wraps Claude Code (or Codex / Gemini CLI / Cursor agents) and runs the entire funnel end-to-end:

Scrapes LinkedIn, Greenhouse, Lever, Ashby, Workable, Remote OK → normalized JSON
Scores every listing against your rubric (comp band, stack, remote policy, vibe)
Tailors résumé + cover letter against the role's exact keywords (without lying)
Drafts the LinkedIn DM to the hiring manager + follow-up sequence
Builds a one-page interview brief from the company's GitHub + blog + news

He scored 740 listings. Got the offer on the one that mattered. Featured in WIRED and Business Insider. 51k+ GitHub stars in weeks. MIT licensed.

Install in 5 minutes

git clone https://github.com/santifer/career-ops.git
cd career-ops
npm install
cp .env.example .env  # add ANTHROPIC_API_KEY
npm run init

State lives in ~/.career-ops/ as a Git repo — every interaction is a markdown file you own.

The pattern is bigger than jobs

This is the cleanest production example I've seen of: CLI agent = runtime, prompt files in Git = your domain logic. Same pattern is going to eat sales outreach, investor diligence, personal CRM, and content production.

Resources

📺 Full 60-second short on YouTube
📰 Long-form breakdown on gptaiclips.com
🎙️ GPT AI Clips Podcast on Spotify
➕ Subscribe to @gptaiclips
🛠 Career-Ops repo: github.com/santifer/career-ops

If you're automating customer pipelines instead of job pipelines, GoHighLevel is the closest equivalent for SMBs. **Affiliate disclosure: that's my affiliate link — small commission at no cost to you if you start a trial.

OmniVoice: the free Apache-2.0 ElevenLabs alternative that runs on your own GPU

gpt ai clips — Fri, 05 Jun 2026 16:24:04 +0000

Two AI launches in one day

While most people were arguing about Claude Sonnet pricing, two genuinely useful AI projects shipped — and they both deserve a closer look.

1. OmniVoice — the open-source ElevenLabs alternative

OmniVoice is from k2-fsa, the team behind Next-gen Kaldi (Xiaomi's speech research lab). It's Apache-2.0 licensed, supports 600+ languages, and runs at RTF 0.025 — that's 40 seconds of audio generated per 1 second of compute.

Three modes:

Voice Clone — clone any voice with just 3-10 seconds of reference audio
Voice Design — generate a voice from controls (gender, age, pitch, accent, dialect)
Auto Voice — let the model pick

Install:

pip install omnivoice

Use:

from omnivoice import OmniVoice

model = OmniVoice.from_pretrained("k2-fsa/OmniVoice")
audio = model.generate(
    text="Hello from a free voice model",
    ref_audio="reference.wav"
)

CLI tools that ship in the box: omnivoice-demo, omnivoice-infer, omnivoice-infer-batch.

If you want to try it without installing anything, the HuggingFace Space lets you generate samples in your browser.

Why this matters: ElevenLabs is the de facto API for AI voice, but it costs ~$11/month minimum and 600+ language coverage is genuinely difficult to match. OmniVoice flips both: free + broader coverage + local-first.

2. Google DreamBeans — the anti-infinite-scroll AI

DreamBeans launched June 3, 2026 from Google Labs. It connects to your Gmail, Calendar, Photos, YouTube, and Search history, then uses Nano Banana 2 (Google's latest image gen) to brew a finite daily collection of illustrated stories about your life.

The interesting part isn't the tech — it's the product decision. Google explicitly chose NOT to make it infinite scroll. You get a fixed number of stories per day, and that's it.

For now it's US-only on iOS/Android for Google AI Ultra subscribers. Everyone else can join the waitlist.

60-second video walkthrough

Includes free PDF guide with all the install commands, prompts, and links.

More weekly AI deep-dives on @gptaiclips and the podcast.

Affiliate disclosure: my channel description contains a GoHighLevel referral link — I may earn a commission at no cost to you.

last30days-skill: the open-source AI agent that searches Reddit, X, HN, and Polymarket in parallel

gpt ai clips — Fri, 05 Jun 2026 09:07:50 +0000

27,000 GitHub stars in 30 days. What's the trick?

last30days-skill is an MIT-licensed AI agent skill that does one job extremely well: it queries six high-signal platforms at the same time and returns a single cited brief.

What it searches

Reddit
X (Twitter)
YouTube
Hacker News
TikTok
Polymarket (this is the unique angle — real money on the line)

Scoring

Results are weighted by upvotes, likes, views, and Polymarket odds. The agent synthesizes everything into one brief with citations you can verify.

Install in 10 seconds

# Claude Code
/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days

# Codex / Cursor / Gemini / 50+ others
npx skills add mvanhorn/last30days-skill -g

# OpenClaw
clawhub install last30days-official

Top prompts that just work

Use last30days to research [person] before my meeting
Use last30days: what just happened with [news topic]
Use last30days to compare [tool A] vs [tool B]
Use last30days: [geopolitical event] — include Polymarket odds
Use last30days to find everything on [trending model] this week

56-second video walkthrough

I'm covering AI agent skills weekly on @gptaiclips — podcast version on Spotify.

Affiliate disclosure: my channel description includes a GoHighLevel referral link — I may earn a commission at no cost to you.

Open Notebook Hit 25K Stars — The Self-Hosted, MIT-Licensed NotebookLM You Can Actually Own

gpt ai clips — Fri, 05 Jun 2026 06:10:29 +0000

The self-hosted NotebookLM alternative everyone is starring

Open Notebook just crossed 25,000 GitHub stars. It's MIT-licensed, 100% local, and supports 18+ AI providers including OpenAI, Anthropic, Ollama, and LM Studio. Drop in PDFs, YouTube links, audio, and web pages — get answers with citations. Generate multi-speaker podcasts with 1-4 voices. Your research data never leaves your machine.

Two-minute Docker install

# Grab the compose file
curl -o docker-compose.yml \
  https://raw.githubusercontent.com/lfnovo/open-notebook/main/docker-compose.yml

# Change OPEN_NOTEBOOK_ENCRYPTION_KEY to a long random string (32+ chars)

# Launch
docker compose up -d
docker compose ps
open http://localhost:8502

Ports: 8502 UI, 5055 REST API, 8000 SurrealDB (internal). Persistent data lives in ./surreal_data and ./notebook_data.

Three setups that actually work

Cheap & fast — Anthropic Claude Haiku. Best for citation-heavy long-context research.
Free + local — Ollama with llama3 or qwen2.5. Point Open Notebook at http://host.docker.internal:11434.
Best podcasts — OpenAI gpt-4o for the script, TTS-1-HD for multi-speaker audio. Configure 1-4 speaker profiles in Settings → Podcasts.

Real use-cases

Research → cited paper. 10-20 PDFs + a few web pages. Open-ended questions return cited answers. Beats ChatGPT for serious lit review.
Content production. Transcripts plus competitor blog posts in, outlines + multi-speaker podcast episodes out.
Legal review. Run it 100% on-prem with Ollama. NDAs, MSAs, policies — no client data ever crosses the network.

60-second walkthrough

I broke down the install + the dashboard in a short here: https://www.youtube.com/shorts/6WN52Mw3n28

The full audio breakdown lives on the GPTAIClips podcast on Spotify: https://open.spotify.com/show/033sVcOc9PNwH6eIX5SPSq

More short-form breakdowns of trending AI repos at https://gptaiclips.com.

Affiliate disclosure: I use GoHighLevel (Pro trial via that link) as the CRM I sell AI workflows out of — referral link, doesn't change your price.

Vibe-Trading Just Hit 10K Stars on GitHub — and It Actually Places Real Broker Orders

gpt ai clips — Thu, 04 Jun 2026 07:05:18 +0000

Vibe-Trading hit 10K stars overnight

A new open-source repo called Vibe-Trading just crossed 10,000 stars on GitHub, and the reason is unusual: it's an AI agent that actually places real orders across six brokers — Robinhood, Alpaca, Binance, OKX, Tiger, and one more.

Most "AI trading" projects stop at backtests. This one ships a real CLI, a real web dashboard, and connectors that authenticate against real brokerage APIs.

What you get

One-line install — pip install style setup, no Docker gymnastics
CLI loop — run the agent from your terminal, watch trades stream
Web dashboard — PnL, positions, model thoughts
6 broker connectors — across crypto and US equities

How to use it safely

The project ships with paper-trading mode on every broker that supports it. Turn that on first. Run the agent for a week with fake money. Read every trade in the dashboard. Only then consider letting it touch a small real-money account you can afford to lose.

This is open-source software placing real orders. Not financial advice. Read the code, understand what it does, and start with paper.

Watch the 60-second walkthrough

I broke down the install, the dashboard, and the broker list in a 60-second video here: https://www.youtube.com/watch?v=h97KknnguBo

More short-form breakdowns of open-source AI tools at https://gptaiclips.com — that's where I park the longer experiments.

GPT-5.6 Reportedly Spotted in OpenAI Codex Logs — Three Codenames, 1.5M Context

gpt ai clips — Thu, 04 Jun 2026 05:00:31 +0000

An identifier gpt-5.6 showed up in OpenAI Codex backend traces over the weekend, alongside three internal codenames — iris-alpha, ember-alpha, and beacon-alpha. Polymarket is currently sitting at 85%+ odds for a public release before June 30. Here is what was reportedly leaked, what to take with a grain of salt, and what it means if any of it ships.

The GPT-5.6 Leak

From Codex traces and a handful of corroborating Discord screenshots:

Field	Reported Value
Identifier	`gpt-5.6`
Internal codenames	`iris-alpha`, `ember-alpha`, `beacon-alpha`
Context window	1.5M tokens (+43% over GPT-5.5)
Tiers	Standard + GPT-5.6 Pro
Pricing rumor	2-3x cheaper than Anthropic Mythos at same tier
Focus	Agentic workflows + front-end generation

The three codenames suggest a routed-ensemble approach — different sub-models for different task classes — though that is interpretation, not leaked text.

The Claude Mythos Counter-Leak

Anthropic apparently ran Mythos against an 18-benchmark internal suite. Mythos won 17 of 18:

Benchmark	Mythos	Comparison
SWE-bench Verified	93.9%	Opus 4.6: 80.8%
SWE-bench Pro	77.8%	GPT-5.4: 57.7%
Terminal-Bench 2.0	82.0%	—
USAMO 2026	97.6%	—
GPQA Diamond	94.5%	—
BrowseComp	86.9%	—
Cybench	100%	saturated

Mozilla reportedly found 231 zero-day vulnerabilities testing Mythos against Firefox — 10x more than the previous Claude model could surface in the same harness.

The Microsoft Slip

A slide at Build 2026 briefly showed Mythos training compute at approximately 6.1 × 10²⁷ FLOPs — roughly 300x what GPT-4 was trained on. The slide was pulled from the recording shortly after, but several attendees screenshotted it.

How To Read All Of This

Codex backend identifiers are real signals — they have predicted releases before (GPT-4o, GPT-5-mini).
The Mythos scorecard is directional, not definitive — internal benchmarks are always optimized for internal context.
The Microsoft slide is the weakest signal — a single unverified screenshot.
Polymarket odds above 85% are meaningful — that market has been well-calibrated on OpenAI releases.

What To Watch

Any OpenAI API pricing page update showing a gpt-5.6 SKU
Anthropic's model card for Mythos (expected alongside release)
Codex UI changes in the next two weeks

This will resolve quickly. Neither company has a reason to delay past Q2 at this point.

All benchmark figures above are from leaked documents, not official model cards. Treat them as directional until vendor APIs or official releases confirm them.

Want more AI news like this in 60 seconds? Watch the 60-second walkthrough

If you want to stay ahead of every frontier-model leak, benchmark drop, and release signal, gptaiclips.com aggregates the signal from developer Discords, Polymarket, and API changelogs into one daily digest — free to follow.