A builder shares their workflow for managing many AI agents in parallel using a custom UI and 160+ custom commands, showcasing a scalable approach to automating complex tasks. This highlights how entrepreneurs can orchestrate agent-based automation for business efficiency.
I run many tasks in parallel so there's not much downtime. I built a UI where each AI agent appears as an avatar on a 2D map (Arcane Agents). I spend most of the day hopping between them assigning and reviewing work.
I've set up ~160 custom commands the agents can call to access
π 788 viewsβ€ 2π 0π¬ 0π 00.3% eng
AI agentsautomationworkflowcustom commandsproductivity
A builder shares how quickly a personal AI assistant's memory can be corrupted by low-quality models, highlighting risks in deploying autonomous AI agents. This is crucial for entrepreneurs considering AI-powered automation, as it exposes reliability and trust issues that must be solved for scalable, hands-off income streams.
I built a personal AI assistant on a Mac Mini. Within 48 hours, cheap models had poisoned its memory with fabricated colleagues, fictional file shares, and an imaginary costume party. Here is what I learned.
Showcases a no-code workflow for classifying and prioritizing emails using Google Workspace Studio, enabling automated inbox management. Builders can adapt this to streamline client communications or offer as a productivity service.
Aryan Irani built an AI email organizer in Google Workspace Studio that classifies every incoming message, applies labels, and only sends a Google Chat notification when something is genuinely urgent. No code required β just an Extract step, a Decide step, and a rubric you write
This tweet showcases a builder remotely fine-tuning models, running multiple AI agents, and managing work tasks while flying. It highlights the power of cloud-based automation and remote orchestration for entrepreneurs seeking to streamline and scale their AI operations.
Things Iβm doing while flying at 34,000 feet:
* Fine-tuning on my DGX Station (SSH)
* Running 8 concurrent
@cursor_ai
cloud agents
* Replying to emails
* Posting on X
π 31,070 viewsβ€ 101π 5π¬ 18π 140.4% eng
remote workAI agentsautomationcloudworkflow
write a newsletter/blog about itpost about it on Xaudience building
This update shows how AI models can automate code validation by checking if implementations match design docs, highlighting strengths and weaknesses of GPT, Claude, and Gemini. Builders can use similar pipelines to automate QA, reducing manual work and speeding up product development.
Overnight update 5. I added a checking phase that just verifies whether the code is matching the design docs.
- GPT wrote tests for the design docs themselves all night, assert if words were present
- Claude passed 89/91 tests, but cheated core reqs
- Gemini hit API rate limits
TRAE SOLO is a newly launched AI agent that can actively operate within your files, projects, and workflows, not just answer questions. Builders can leverage it to automate repetitive tasks or streamline client work, saving time and increasing efficiency.
TRAE just launched SOLO.
Itβs an AI agent that doesnβt just answer,
It actually works inside your files, projects, and workflows!
I tested it with 2 real tasks in 15 minutes. Here's what stood out
PokeeClaw is a robust AI agent platform featuring RL-powered tool selection and secure sandboxing, enabling builders to automate complex workflows across 1,000+ integrations. This can help entrepreneurs streamline operations or deliver automated services at scale.
PokeeClaw is a different beast.
Enterprise-grade AI agent platform. 1,000+ integrations. RL-powered tool selection. Secure sandbox.
I test AI agents constantly for this newsletter. Most are demos. This one just⦠did the work.
The tweet describes using Surf Studio to set up an automated airdrop radar that alerts users to new crypto/NFT projects before launch. Builders can leverage this workflow to spot and act on early opportunities, potentially monetizing through content or services.
Let me share something I've been tinkering with lately.
The
@noise_xyz
project I shared this morning was actually one I spotted through the airdrop radar monitoring I set up using Surf Studioβit pushed it to me about 18 hours before launch.
These past couple of days, I've
Replit Agent now offers an 'AI SDR' skill, enabling users to automate sales development tasks directly from the platform. Builders can leverage this to streamline outreach or integrate it into client workflows.
To use the AI SDR skills, simply ask Replit Agent, or use the + button from the input box after logging in and the select the "AI SDR" skill
This workflow automates the process of ingesting content, extracting concepts, and generating a queryable markdown wiki. Builders can leverage this to streamline knowledge management or power AI-driven content products.
The current workflow is simple:
β’ingest URLs or local files
β’extract concepts
β’generate linked markdown pages
β’resolve wikilinks
β’query the compiled wiki
β’optionally save answers back into the wiki
A builder created an automated tool to monitor when online services update with their vaccination status. This highlights a practical automation workflow that can be adapted for tracking other types of online data changes.
How it started
How it's going
(yes I built an automated tracker to detect when online services update with my vax status)
π 6,787 viewsβ€ 42π 2π¬ 3π 00.7% eng
automationtrackingdata monitoringworkflowbuilders
build a SaaS on top of itoffer it as a servicerecurring
A builder shares a tool that streamlines sending content to AI chats, reducing manual screenshot pasting. This highlights a workflow automation that can save time for creators and could inspire similar productivity tools.
This is awesome.
I built
talktoyour.computer a while back to learn Make back then.
So much easier than pasting screenshots into any AI Chat all the time.