Marketing changes fast these days. New platform updates, AI guidelines, and privacy changes make it harder to stick with the same playbook.

A lot of teams are building more flexible workflows, while others are turning to automation and AI agents to handle repetitive work. Accio Work is one example, helping small teams automate research, marketing, sales, and operations while keeping humans involved.

What do you all think? How are you adapting to constant changes in marketing?"

We're hosting a practical session on how AI can help automate supplier communication and streamline sourcing workflows.

In this webinar, we’ll cover:

- How Accio Work turns into your 24/7 AI sourcing assistant

- Live demo: from supplier outreach to negotiation workflows

- Real examples of how users are applying AI to reduce manual sourcing tasks

- Q&A session with the Accio Work team

Time: July 23 (Thu), 18:00 - 18:30 (GMT+8)

If you’re interested in AI-powered sourcing workflows, feel free to join the session.

Register here: https://luma.com/baiwn8vv

I'm a heavy daily Accio user working in the Amazon . Before Accio, product research, listings and content took up almost my entire day. Now most of it runs through workflows I built myself. Here's my honest experience.

What I built with Accio:

• A product selection center — pulls in data and scores potential products, so I stop guessing what to sell
• An end-to-end listing workflow — from raw product info to a ready-to-publish listing in one pipeline
• A bunch of internal mini-tools for daily operations (can't share details — company stuff, sorry!)

How I use it for content creation:

• Multi-agent division of labor: one agent scrapes data with the browser, one drafts the copy, one generates images — then everything gets assembled automatically
• Plus various skills I've set up along the way (keeping this vague since it's a public post)

The results:

• Repetitive work that used to eat my whole day now takes ~10% of the time
• I reinvest that time into strategy and higher-value work
• My salary has kept growing since I started working this way — my boss basically thinks I'm a machine now, haha

My advice if you're just starting:

• Don't just chat with it — build repeatable workflows. That's where the real leverage is
• Split big jobs across specialized agents instead of one giant prompt
• Start with your most repetitive, boring task first

If you're in e-commerce and you learn to use Accio properly, you can genuinely make money in this market. Happy to answer questions in the comments (within what I'm allowed to share)!

Hello, my account is not chinese. However, now Accio demands a chinese +86 phone number to continue. I am not chinese nor live in China. Could someone give some help?

Thanks.

Here is a webpage I created using the latest Accio Site Builder. I'm sharing it with everyone and welcome you to exchange ideas or ask questions.

I provided a reference image and described the style I wanted in natural language.

It understood the idea quickly and started building the site. I also liked that it requested permissions during the process, providing a more transparent and secure experience. The website structure was complete and the page transitions were smooth.

The colors felt a bit dull at first, but after I asked it to increase the saturation, the final result looked much better. Has anyone else tried Accio Site Builder? Curious what you’ve built with it.

Accio Work just launched Accio Site Builder, a new conversational agent that builds real, publish-ready websites from basic ideas.

Key features:

• Multiple website types: Create Media Kits, Link-in-bio pages, Personal portfolio, Blog, Dashboard and more.

• Chat-based editing: Make changes with natural language.

• Built-in Supabase database: Store data for future features.

• Custom subdomain: Publish with an Accio Work domain.

We've prepared a set of sample templates for you to get on board. Feel free to try it out and let us know what you think!

https://www.accio.com/features?page=work_aiweb2?src=f_discord

A lot of people have been saying closed-source AI is too expensive lately.Tbh,I can relate to that deeply.

I’ve been using Accio Work for some ecommerce product design tasks, and I usually work with the Claude Fable 5 model.

The results have been pretty good, but it also uses up a lot of credits, which got me thinking about trying open-source AI.

However, everyone says that open-source AI poses information security risks. This makes it difficult for me to choose.

What do you think?

Like many lean businesses, the challenge wasn't finding more ideas - it was finding enough time to execute them.

Two areas were taking up most of his time:

Abandoned cart recovery: Customers left checkout without any follow-up process to bring them back.

Customer communication: Email, SMS campaigns, and support messages were handled manually across multiple tools.

Marcel wanted to automate these workflows without adding more software complexity or hiring additional help.

That’s where Accio Work came in.

The workflow

1. Connect existing tools

Marcel connected his checkout data, messaging platforms, and support inboxes through Accio Work. No custom integrations were required.

2. Let the agent handle repetitive tasks

For abandoned carts, Accio Work:

• Monitored checkout activity

• Identified abandoned purchases

• Generated personalized email and SMS follow-ups

• Sent recovery campaigns automatically

For customer support, Accio Work:

• Connected multiple inboxes

• Summarized incoming requests

• Suggested responses based on previous decisions and workflows 

3. Keep humans in the loop

Marcel initially reviewed and adjusted the agent’s outputs. As the workflows became more reliable, the agent was able to handle more tasks independently.

Results

With Accio Work, Marcel was able to:

• Reduce campaign management from around 10 hours per week to under 30 minutes

• Automate customer support workflows across multiple inboxes

• Recover previously lost sales through abandoned cart campaigns 

“What surprised me is how little I do now. I tell Accio Work what I want and it just runs — it recovers sales I used to lose, and two of us can now handle work that used to take a whole team.” — Marcel Macedo

This is one example of how Accio Work can help small teams automate repetitive business workflows while keeping important decisions under human control.

Most of my sourcing stuff is basically all handled by GPT-5.6 Sol rn, and it knocks out the tasks pretty well most of the time.

Everyone’s hyping Kimi’s K3 like crazy though，is it actually as good as those screenshots make it look, or are they just hyping it up? Also curious whether Accio Work is planning to support this new model. I wanna throw it into my real workflow and test it out lol

Web Design, Automation Services, or AI Digital Products?

Web Design benefits from outdated sites that need a refresh, Automation Services fills the gap for businesses drowning in repetitive tasks, and AI Digital Products ride the wave of easier development. Each has its edge.

What do you all think? which is the most promising AI business to start in 2026?

Which one would you like to see return？

Tbh, I just want Earthquake to come back.

Universal pls😭

Massive fan of Train to Busan and Yeon Sang-ho's work here. So pumped to hear it's returning to the big screen!

I've had Accio Work for a while but mostly used it for e-commerce workflows and product-related tasks.

Anyway, I decided to test it for something fun: a fan-made anniversary poster. It flagged the copyright issue when I asked for a direct replica (which I actually appreciated). So I tweaked the prompt to focus on "similar visuals and mood."

I don't think it's bad. Captures that gritty, tense vibe.

I'm curious to compare outputs with Gemini, ChatGPT, Midjourney, and other AI content creation tools now. Let's see how it goes.

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We’ve launched Accio Work Business, built for teams and organizations.

What's included

- Shared Team Credits, AI Assets, and search results

- Team usage analytics

- Business invoices (VAT-eligible)

- Enterprise features: SSO, role management, custom plugins & skills

Plans:

Team → Small teams

Growth → Growing teams

Custom → Enterprise organizations

Choose the plan that best fits your team's needs!

all three models are available in acciowork

my current workflow: Luna → Terra → Sol

Sol burns credits fast. I only use it when the task is unstructured and hard to handle

Has anyone tried them yet? What setup is working best for you so far?

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I’ve been using Accio Ai since its inception, and I haven’t encountered a single aspect where it outperforms other tools. Sourcing is a complete delusion, and building tools is equally terrible. However, the answers are a different story. I understand that we use the models provided by Accio Ai, but somehow, the tool itself is fundamentally flawed and cannot be trusted in any way. I’m open to being proven wrong, but it’s disheartening to see that a large company can release this tool and continuously push updates multiple times a day without making any significant improvements.

The Argentina situation has been all over the place. Footage is out, people have watched it a hundred times, and there's still no consensus.

That's kind of the core issue with human referees. It's not just this match. Disputed calls have been happening throughout football history and it always comes back to the same thing. People don't trust that referees can stay fully objective under pressure.

So would AI fix that? A well-trained AI runs purely on the algorithm. No crowd noise, no nerves, no one screaming in your ear. But would people trust it any more? Or would they just turn around and start questioning whoever wrote the algorithm?

Do you think AI should replace human referees?

Accio Work launced a new agent: Design Expert, a dedicated agent for creating design assets directly inside your workflow.

What it does:

- Logos, product images, scene shots, model images, marketing materials

- Canvas-based editing

- Continuous iteration

Drop your e-commerce shots, mock packaging, promo banners, whatever you've made with it.

First Task Challenge is happening now. Use any Accio Work prebuilt agent, share your workflow, and you could win a $20 gift card: https://www.reddit.com/r/AccioAI/s/CryyRjrugH

It feels like every major company is rushing to launch AI products, and the barrier to starting a solo business keeps getting lower.

A few years ago, building a physical product business meant doing a lot manually: market research, product design, sourcing, supplier comparison, content, ads, and operations.

Now the SaaS ecosystem is much more mature. Tools like Accio Work can assist with parts of the early workflow, from idea generation and product design exploration to sourcing and supplier discovery.

That makes the AI-powered solo founder path feel more realistic, especially for testing ideas before committing to inventory or heavy operations.

At the same time, traditional businesses still have advantages AI can’t easily replace: trust, local relationships, distribution, and repeat customers.

So if you had $20k in 2026, how would you choose?

Do you think an A solo business is just a temporary trend, or does it have long-term sustainability?

When launching a new product, custom swag is a staple. But while most startups default to standard stickers, hoodies, or t-shirts, Tanay Kothari, CEO and co-founder of the AI-powered dictation app Wispr Flow, wanted to do something far more memorable for their Android app launch competition: give away 100 premium, custom-branded bedding sets to their global winners.

But as a fast-growing tech team based in San Francisco, they ran into a massive roadblock: zero experience in textiles, no in-house sourcing capability, and an incredibly tight timeline.

To make matters more challenging, a 100-unit run is an extremely small order in the textile industry - most premium bedding manufacturers won't even respond to an inquiry for that quantity.

Instead of spending weeks researching fabrics or cold-emailing suppliers on Alibaba, Tanay decided to put Accio Work to the test to see if an AI agent could drive the sourcing process end-to-end.

Here is how the workflow played out:

1. Specs

First, Accio Work helped define the technical specs to ensure a high-end, luxury feel. Since the team didn't know the difference between fabrics, the AI agent recommended:

● Material: Egyptian long-staple cotton

● Thread Count: 500 TC

● Detailing: Embroidery over printing (for a more premium, durable brand presence)

● Scope: Custom packaging design and a full size run layout.

2. Product Design & Tech Pack Generation

Next, the agent went to work on the visual and structural assets. It applied Wispr Flow's brand colors and logos to the bedding and the custom box packaging, generating a factory-ready tech pack in just a few days. Having a complete, precise tech pack is crucial because it gives manufacturers the exact math and layouts they need to quote accurately.

3. Automated Alibaba Sourcing

With the tech pack ready, Accio Work connected to Alibaba.com to handle the heavy lifting of supplier matching. The agent:

● Automatically filtered and shortlisted verified bedding manufacturers.

● Targeted suppliers specifically open to lower Minimum Order Quantities (MOQs) like Wispr’s 100-set run.

● Drafted initial inquiry letters and initiated automatic negotiations.

While Tanay and his team acted as the ""human-in-the-loop"" to review and polish the communication drafts to ensure they sounded personal, the agent eliminated the tedious manual search process entirely.

The Results

By combining AI execution with human supervision, Wispr Flow achieved what normally takes weeks or months in record time:

● Time to Design: A complete factory-ready tech pack finalized in just a few days.

● Sourcing Success: Secured a verified supplier on Alibaba willing to accept the 100-unit run.

● Physical Samples: High-quality physical samples delivered in under two weeks.

"We had a logo and a wild idea - and no sourcing team, no factory, and no clue how to actually make it. Accio Work handled the whole thing: the research, the design, the supplier. The final product got us so excited and our recipients love it." — Tanay Kothari, CEO & co-founder, Wispr Flow

Takeaway

This case study is a great example of how AI agents are moving beyond pure digital tasks and successfully orchestrating complex, real-world physical supply chains. For lean teams needing to source custom physical goods under tight constraints, human-in-the-loop AI sourcing is no longer a futuristic concept, it's a highly viable shortcut.

My bet: distributed runtime environments + distributed memory systems.

Harness' real significance isn't tool-calling itself. Its arrival forced a deeper question: if an LLM can run locally or in the cloud via a glue-layer framework, could a single Agent run in both simultaneously to tackle long-horizon tasks?

Take that further. What if thousands of context-sharing Agent instances ran in parallel across isolated environments, completing work that would otherwise take months or even years?

We're not just talking about faster execution. We're talking about a fundamentally different architecture where agents aren't bottlenecked by a single runtime or a single memory store.

The maze isn't the problem. The problem is we've only ever sent one person into it.

What do you think comes next? Distributed agents, better memory, or something else entirely?