If you’re trying to learn agentic engineering, here is a roadmap to help you figure out where to start.
agentmax.space
why pay for a big model when your agent keeps doing the same job.
i’d try a smaller model trained to find customer problems and quote their feedback accurately.
check this out: github.com/overmind-core/ove…
@OvermindLab lets you train models on your agent’s data and own the weights.
in their contract test, 1,000 questions cost $1.03 vs $20.94 on a frontier model. about 20x cheaper.
🤝 Paid partnership
Overmind turns anyone into an AI lab.
• Builds a context graph from code and traces
• Curates training and eval datasets
• Evaluates prompts and models
• Trains smaller, specialized models
github.com/overmind-core/ove…
i just gave claude one of my fav pinterest image and it turned that into this.
catbridge.vercel.app
i made a tutorial on how to use grok bot for beginners
youtu.be/e0tp2RAMH9k?si=99bD…
ai maxxer retweeted
this is absolutely insane...
@CopilotKit just introduced the open-source version of Grok Bot.
It works with ANY agent harness and is built for real companies.
AI coworkers, generative UI, computer use, agent human handoffs, and full data recording that you own.
Repo → github.com/CopilotKit/openbo…
this is going to change how companies build and use AI agents.
do you actually understand what's happening right now
you can start a content agency this month with 2 VAs and a laptop.
b2b companies pay $4,000-$6,000/month to agencies with 5-6 people on payroll for content ops. it's not glamorous work, it's just volume, and every company needs it.
you don't need 5-6 people anymore. you need 2 VAs who can each run 3x their output with AI, and a control over what those VAs' models cost and what they can see.
here's how people fail at this: VA #1 runs the most expensive model on earth to reformat a blog post. VA #2 has an agent that can read every client folder you own.
Here’s how you can set it up properly from day one:
> VAs go in a group
> the group decides which models they can reach
> the group decides what those models can see, so client A's docs are invisible to client B's work
> tasks route themselves, cheap work gets a cheap model, no one chooses
3 clients at $5,000 = $15,000/month. two VAs, small tool bill, and you kept the margin instead of donating it to a model provider.
an agency this size used to take a year and a hire list. it takes a weekend now.
there is genuinely no excuse anymore.
🤝 Paid partnership
We just cut AI spend by 75% across an entire workforce in one click.
Introducing: Merge for Workforce.
Without Merge, your employees are left choosing one of two options:
1. Spend 100x the cost they should be from using frontier models for everything
2. Deliver subpar work from overly restrictive model access
Instead with Merge, IT can connect any identity provider and set model routing policies by team in one click.
Merge pushes them to every machine through a desktop client, overriding the model configs across your team’s AI assistants and coding tools.
Now every task gets the right model for the job.
The result? 75x fewer tokens with faster and better output.
seedance 2.5 at 1080p is on atlas cloud
generator runs the pipeline and hands you a finished clip in one pass.
and 400+ models behind one key
go run it: atlascloud.ai/generator
We all know the pain of choosing the right model. You have an idea, testing it one model at a time in ten different tabs, using a spreadsheet to track usable outputs.
Stop guessing and start building with Creator Central by Atlas Cloud. Model Explorer runs the same prompt across models and puts the results side by side, up to 10 at once. Start from a curated set or assemble your own.
With Wan3.0 coming shortly, we're dropping the price of Seedance 2.5 so creators can compare and choose the right model for their projects.
Create something now with our Generator templated workflow: Pick what you like and access the exact prompt and settings behind that result, ready for you to edit.
#AIVideo #GenerativeAI #VideoProduction #Seedance #Wan3



















