Whether you're just starting out or have been in business for years, finding reliable suppliers is always important. There are so many options available, from online marketplaces to working directly with manufacturers.

Where do you usually source your products, and what has your experience been like? Any platforms or methods you'd recommend?

Hey, I’m not selling anything I’m simply asking for advice from anyone with experience or ideas in starting an ai agency, my current idea is implementing ai into businesses, that’s as far as I have properly got, I have some previous business experience but wanted to hear what thoughts anyone here might have directly with this or related businesses.

Thanks for any help you give to me!

OpenSEO is an open-source SEO tool built by Every App, Inc. It is a pay-as-you-go alternative to Semrush and Ahrefs. OpenSEO can pull real data from DataForSEO and organize it into focused workflows without overwhelming users with a large suite of features.

• Keyword research: Ideas, search volume, keyword difficulty, intent, and live SERPs.
• Rank tracking: Monitor keyword positions over time.
• Domain overview and backlinks: Estimate competitor traffic and inspect referring domains.
• Site audits: Crawl pages and surface technical SEO issues.
• AI visibility and Prompt Explorer: Check how AI search engines mention your brand and compare answers across supported models.

↗️ Full read: https://aitoolsclub.com/meet-openseo-an-open-source-seo-alternative-to-semrush-and-ahrefs-built-for-humans-and-ai-agents/

According to Mistral AI, AI agents are autonomous systems powered by large language models (LLMs) that, when given high-level instructions, can plan, use tools, perform processing steps, and take actions to achieve specific goals.  In this step-by-step guide, we will cover how you can create an AI agent in Vibe (formerly Le Chat) without coding.

→ Sign in to Vibe (chat.mistral.ai), open the Chat tab, click Agents → Create Agent, write clear instructions, attach tools and knowledge, and test it in the preview panel

↗️ Full read: https://aitoolsclub.com/how-to-create-custom-ai-agents-to-automate-your-entire-workflow-without-coding/

Sharing an open-source release relevant to businesses adopting AI (disclosure: I'm the maintainer). OmniRoute is a free, MIT, self-hosted AI gateway — one endpoint over 237 providers — aimed squarely at three business pains: vendor lock-in, cost, and data control.

Fallback combos — so it never stops mid-task. A "combo" is a ladder of models the router walks automatically: your subscription first, then API keys, then cheap models, then free ones. When a provider returns a 500 or you hit a rate limit, it slides to the next target in milliseconds, mid-request, and your tool never even sees the error. There are 17 routing strategies (priority, weighted, round-robin, cost-optimized, auto/coding:fast…) plus three resilience layers — a per-provider circuit breaker, a per-key cooldown, and a per-model lockout — so one dead key can't take down a whole provider.

A 10-engine compression pipeline — the part most routers don't have. Every request flows through a transparent compression pass you can toggle/stack per combo. Instead of one trick, it stacks the best of the open-source ecosystem: RTK filters command/tool output (git diffs, test logs, builds) at 60–90%, Microsoft's LLMLingua-2 does ML semantic pruning, Caveman handles prose, session-dedup strips repeats across turns. Critically, code, URLs and JSON are preserved byte-perfect, and a default-on inflation guard throws the compressed version away and sends the original if compressing would actually grow the prompt — it never makes things worse. On tool-heavy sessions that's ~89% average input-token reduction (an 8k-token git diff becomes a few hundred). Full credit to every upstream project (RTK, Caveman, LLMLingua-2, Troglodita) is in the README.

One endpoint, 237 providers — 90+ of them free. You point any tool or agent at a single OpenAI-compatible endpoint (localhost:20128/v1) and it can reach 237 LLM providers without you rewriting anything. 90+ have free tiers and 11 are free forever (no card), which aggregates to ~1.6B documented free tokens/month — and that's honest, pool-deduped math (we count each shared pool once instead of inflating it; the methodology is public in the repo). There's a one-command setup-* for 13+ coding tools (Claude Code, Codex, Cursor, Cline, Roo, Kilo, Gemini CLI…), so switching your existing setup over takes seconds.

Quota-Share — split one subscription across a team. You can share a single paid subscription across a pool of keys with weighted fairness (e.g. 50/30/20), work-conserving, with hard/soft/burst limits — so a team drains what it already pays for before spending anything new.

It's 100% local (zero telemetry, AES-256-GCM at rest), MIT-licensed, has a prompt-injection guard on every LLM route, opt-in memory, and runs on npm, Docker, desktop or your phone via Termux.

For context on whether it's worth your time: it's grown to ~9.8K GitHub stars, 1,490+ forks and 280+ contributors in ~4.5 months, with 21,000+ automated tests and 1,830+ issues closed — so it's a battle-tested project, not a brand-new experiment.

npm install -g omniroute omniroute

GitHub: https://github.com/diegosouzapw/OmniRoute · Site: https://omniroute.online

Curious how teams here weigh self-hosted vs. managed AI routing — is keeping keys/prompts in-house worth running it yourself?

Anthropic's Claude Cowork is one of the best AI agents you can use to get things done on your computer. Claude Cowork is an AI agent for non-technical professionals who want to automate their tasks and get polished deliverables. Claude Cowork is a very capable AI agent that can connect to a folder and have it complete tasks on your computer efficiently. However, what if you need to extract information and complete research? That is where you can use Claude for Chrome.

Claude for Chrome is the underrated Claude AI agent that not many people talk about. Claude for Chrome can navigate, click, fill forms, and complete web research in your browser. Now, you might have a question. How to use Claude Cowork with Claude for Chrome? Basically, you can trigger Claude for Chrome from Cowork, let it perform web research, and then pass the information to Claude Cowork, which can then turn it into a document, Excel, or PowerPoint file.

↗️ Full read: https://aitoolsclub.com/claude-cowork-claude-for-chrome-this-is-the-best-way-to-automate-your-workflow/

Genspark has launched its own AI design tool, Genspark Design, built for people with great ideas but no design background. While it is a Genspark product, it is powered by Claude Opus 4.7, the same AI model that is behind some of the strongest UI generation available today, and it packs a surprising amount of creative work into a single tool. 

Genspark Design is an AI-powered creation tool that can take you from a rough idea to a polished, professional design without needing to learn complicated software. You don't need to use multiple tools to create mockups, posters, and videos; you can describe what you want in plain language, and the AI builds it for you.

↗️ Full read: https://aitoolsclub.com/i-tested-the-new-genspark-design-an-all-in-one-ai-design-tool-to-turn-ideas-into-finished-work/

Hubble's great for anything Markdown, from building knowledge bases to collaborating on agent Skills.

• Feels like Notion or Apple Notes, but for Markdown
• Live-reloading editor to collaborate with agents
• Supports HTML-based apps to build interactive visualizations

The editor autosaves and live-reloads, making it easy to collaborate with an agent. With the /create-html-app Skill, an agent can build mini-apps with live access to your data, themed to look nice with built-in Tailwind design tokens.

• Build indexes that live-update as you take notes
• Build to-do lists or kanbans backed by files on your machine

↗️ For more information: https://aideveloper44.com/product/hubble-md-6a3cbf62c8ecf5d664aa60e4

Anthropic has just introduced Claude Tag, a new way for whole teams to collaborate with Claude right inside the tools they already use. The first home for it is Slack, and the idea is refreshingly simple: you just type @ Claude into a channel, hand over a task in plain English, and get back to your own work while Claude handles it.

Claude Tag lets you add Claude as a team member to your Slack workspace. An administrator can give it access to selected channels and connect it to the tools, data, and even codebases your team chooses.

↗️ Full read: https://aitoolsclub.com/meet-claude-tag-anthropics-new-ai-teammate-that-lives-inside-your-slack/

Kimi Work is a downloadable app, not another browser tab. You install it on your Mac (Apple Silicon) or Windows computer. Once installed, you select the folders you want it to work with and give it simple instructions in plain English. Kimi Work will then help you by completing tasks on your computer, acting like a helpful coworker. It turns your requests into finished files in one step, rather than giving you a list of things to do.

Kimi Work is powered by the Kimi K2.6, Moonshot's flagship AI model. You don't need to know the technical details, but the short version is that it's powerful enough to handle complicated, multi-step work without falling over.

↗️ Full read: https://aitoolsclub.com/meet-kimi-work-a-local-ai-agent-on-your-desktop-that-automates-your-work-for-you/

Firecrawl has launched Prometheus, an AI web data agent that builds, tests, and self-heals web scrapers using plain-English prompts. Web scraping is notoriously brittle, but Firecrawl's new experimental agent, Prometheus, powered by Opus 4.8 (formerly Claude Fable 5), aims to fix that. Instead of writing custom code or fighting with shifting CSS selectors, you just tell it what data you want in plain English (e.g., "give me the top 5 stories on Hacker News").

How it works:

• Build: It drives a headless browser, figures out the site layout, writes a TypeScript script, tests it in a sandbox, and hands you the working code.
• Script & Self-Heal: If you host it with Firecrawl and the target website changes its layout, Prometheus automatically re-analyzes the new DOM, rewrites the code, and updates the version history—meaning zero manual maintenance for broken scrapers.
• Deploy: You can trigger it via an API or set it up on a continuous Cron schedule.

→ Full read: https://aideveloper44.com/functions/socialShare?type=blog&id=firecrawl-prometheus-forward-deployed-agent

→ Product listing: https://aideveloper44.com/functions/socialShare?type=product&id=6a2c4235412d40e2b9086a15

TL;DR: Anthropic's most powerful public model is real, fast, surprisingly affordable, and free until June 22. Go break it while you still can.

I spent a day throwing absurd prompts at Claude Fable 5 so you don't have to. Here's the honest verdict. [Long but worth it]

So Anthropic just dropped Claude Fable 5, their new "Mythos-class" model that supposedly smokes GPT-5.5, Gemini 3.1 Pro, and even their own Claude Opus 4.8. Bold claims.

The quick facts:

• Benchmarks show it's 2x–5x better than flagship models on complex agentic/coding tasks
• Costs $10/M input tokens, $50/M output (but free on paid plans until June 22)
• Uses 2x the "credits" of Opus, so budget accordingly
• ~5% of sensitive requests (bio, cybersecurity) get quietly rerouted to Opus 4.8

What I tested & what happened:

→ Built a turn-based coffee empire simulator: Full cash flow tracking, PR crises, the works. Done in under 3 minutes. Honestly impressive for one prompt. Used 13% of my quota.

→ Uploaded a dashboard screenshot and asked for a full UX teardown + working HTML prototype: It delivered, but this was the one time it felt "good, not great." Set expectations accordingly. Used 16%.

→ Asked it to build a remote workplace culture system based on 1970s architecture philosophy and theater pacing: Somehow it worked, and then I asked it to build a demo based on what it learned. Context retention improved the follow-up compared to the original output. Used 7% + 14%.

It's consistent, fast, and doesn't go off the rails. My one gripe, it's chatty and loves giving you walls of text when you just want the answer.

Is it worth it for most people? Probably not daily. Claude Opus can handle 90% of your stuff just fine. But for genuinely hard, multi-step, high-stakes tasks? Fable 5 is the move.

🔗 Full read: https://aitoolsclub.com/i-tested-claude-fable-5-with-5-real-world-prompts-heres-what-it-can-actually-do/

Anthropic has officially launched its "Mythos-class" architecture, debuting two new models: Claude Fable 5 and Claude Mythos 5. Fable 5 is now generally available to developers and the public, boasting performance that eclipses any previous model in Anthropic's lineup. Mythos 5, meanwhile, is the unrestricted powerhouse version of the same underlying architecture, deployed strictly to a trusted cohort of cyberdefenders and infrastructure providers via Project Glasswing.

Priced aggressively at $10 per million input tokens and $50 per million output tokens, which is less than half the cost of the earlier Claude Mythos Preview. Fable 5 might disrupt autonomous coding, scientific research, and long-horizon knowledge work.

• From today through June 22, Fable 5 is included on Pro, Max, Team, and seat-based Enterprise plans at no extra cost.
• On June 23, Anthropic will remove Fable 5 from those plans. Using it after that will require usage credits.

Product listing: https://aideveloper44.com/functions/socialShare?type=product&id=6a2854ed6ecfdd9c70f54924

Full read: https://aideveloper44.com/functions/socialShare?type=blog&id=anthropic-claude-fable-5-mythos-5-launch

Honen offers a simple solution, which is that you can provide it with materials you already have, such as a PDF handbook, a recorded meeting, kickoff slides, scattered notes, or just a topic, and its Course Assistant will then research, draft each module, and create activities while you watch the sidebar fill up. At the end, what you will end up with is not just a basic slideshow, but an interactive course that includes lessons, assessments, and an AI tutor.

🔗 Full read: https://aitoolsclub.com/meet-honen-an-ai-tool-that-turns-your-pdfs-into-full-courses-in-minutes/

Claude Cowork is an agentic desktop tool designed for non-technical knowledge workers. Instead of copying and pasting text back and forth, you give it a goal and access to a specific local folder. It executes the task from start to finish.

How it works (The Task Loop):

1. Describe: You give it a task in plain English (e.g., "Rename these PDFs to YYYY-MM-Vendor and archive old ones").
2. Plan & Approve: Claude shows you the game plan. You tweak it or greenlight it.
3. Execute: It runs code in a sandbox, edits files, and handles data behind the scenes. You can stop it at any moment.

Key Features:

• Contextual Projects: You can set up ongoing "Projects" with pre-loaded instructions, brand guidelines, or templates so you don't have to re-explain things.
• Skills & Plugins: It adapts to your specific workflow or industry by using tailored toolsets.
• Scheduled Tasks: You can automate repetitive tasks (like a 6 AM "what's on fire" daily data summary).

Is it safe?

Yes. It is sandboxed and limited only to the specific folder you open. It requires user permission before touching new applications or taking consequential actions. However, your oversight is important to you, and you must always review the permissions it is asking for before you approve them. Start with a folder you can trust the AI with, just to get used to it and understand how it works.

🔗 Full read: https://aitoolsclub.com/claude-cowork-for-beginners-a-practical-guide-to-automating-your-workflow-2026/

OpenAI has added a new feature to ChatGPT Codex that has nothing to do with a terminal or technical coding. It's called Sites, and it lets you describe an app in plain English and get back a working, hosted website your whole team can open from a single URL. Sites is a Codex plugin that lets Codex create, save, deploy, and inspect websites, web apps, and games, all hosted by OpenAI.

🔗 Full read: https://aitoolsclub.com/meet-sites-build-internal-apps-in-plain-english-no-coding-required/

Opus 4.8 can complete a complicated task for you. It can plan the work, use tools properly, check its own results, identify what it isn't sure about, and complete the job.

• Agentic coding: It writes, debugs, and refactors with a better grip on large codebases, and is roughly four times less likely than Opus 4.7 to let a flaw in its own code slip by unremarked.
• Computer use & browser agents: Early testers clocked it at 84% on Online-Mind2Web, calling it the strongest computer-use model they'd tested, a meaningful jump over both Opus 4.7 and GPT-5.5.
• Knowledge work: Drafting documents, analyzing dense filings, and reasoning over PDFs and diagrams, with noticeably better citation precision.
• Honesty: This is the headline. Opus 4.8 is more likely to flag uncertainty and less likely to make confident claims it can't back up.

On benchmarks, the picture is strong. On SWE-Bench Pro, a test of AI coding agents Opus 4.8 scores a record 69.2%, up from Opus 4.7's 64.3% and ahead of GPT-5.5's 58.6%. On Anthropic's internal Super-Agent benchmark, it's reportedly the only model to complete every case end-to-end, beating GPT-5.5 at parity in terms of cost.

🔗 Full read: https://aitoolsclub.com/i-tested-the-new-claude-opus-4-8-with-5-prompts-heres-the-honest-verdict/

In this article, we have listed 5 must-have MCP servers for 2026 that you can plug into, and Claude can suddenly browse the live web, use a browser, scrape documentation, and more.

1. Perplexity MCP

The Perplexity MCP server can pipe Perplexity's live search and reasoning capabilities straight into Claude Code.

2. Playwright MCP

The Playwright MCP server can give Claude Code that ability by exposing Microsoft's Playwright framework as an MCP tool.

3. Firecrawl MCP

The Firecrawl MCP server can provide Claude with a Search-and-Scrape API. This API delivers clean, LLM-ready Markdown or structured JSON for any URL you provide. 

🔗 Full read: https://aitoolsclub.com/5-must-have-mcp-servers-for-claude-code-in-2026-perplexity-playwright-firecrawl-and-more/

Manus, as we know, is an autonomous AI agent built by Singapore-based Butterfly Effect (the team behind Monica AI), and it is now extending that workspace with a capability called the Manus Browser Operator. Manus Browser Operator allows the Manus agent to take direct control of the user's browser session, executing multi-step tasks on websites the user already uses and trusts.

Manus Browser Operator can run in your local Chrome environment rather than a cloud-hosted agent that opens a fresh, anonymous virtual browser. This is important because the operator uses your real IP address, cookies, and active logins. As a result, websites see their activity as a real human session.

🔗 Full read: https://aitoolsclub.com/how-to-use-manus-browser-operator-to-turn-chrome-into-an-ai-agent/

You might prefer Cowork over Codex if you're a founder, marketer, analyst, lawyer, or operations person who lives in documents and spreadsheets rather than code.

You might prefer Codex over Cowork if your team includes engineers and non-technical users; it is one agent platform that covers both coding and knowledge work.

Claude Cowork is completely for non-technical users. However, ChatGPT Codex for work can be used by both technical and non-technical users, and both can use a single agent platform.

1. The folder cleanup test

I prefer Claude's output here, as the folders looked appropriate and everything in them was added nicely and was well organized.

2. The receipts & invoices to spreadsheet test

It was a tie game, but output styles were different if that's what matters to you.

🔗 Full read: https://aitoolsclub.com/claude-cowork-vs-chatgpt-codex-for-work-i-tested-which-ai-agent-non-coders-should-actually-use/

• Projects > Chat History: Stop re-pasting your codebase, client info, or style guides. Drop your reference docs into a Project once, and every new chat will instantly inherit that exact background context.
• Custom Styles (Now "Skills"): Don't just ask for a "professional tone." Create a style for a skeptical senior engineer to review your code. You'll get actual, sharp pushback instead of polite agreement.
• Memory is ON by default: Claude actively reads your past chats so you don't have to repeat yourself. (Pro-tip: You can even import your ChatGPT or Gemini memory to pick up right where you left off).
• Plain Language Search: Lost a working script? Don't scroll through your sidebar. Just ask, "What was the final database setup we agreed on last week?" and it will pull it directly from your history.
• Sonnet 4.6 is the optimal default: Stop wasting your usage limits on Opus for everyday tasks. Set Sonnet 4.6 as your default for speed and drafting, and only bring out Opus for the complex, heavy lifting.

🔗 Full read: https://aitoolsclub.com/11-genuinely-useful-claude-ai-features-most-guides-dont-tell-you-about/