Rachel Woods

AI Video Creator | AI Tools | Future Tech
Exploring the latest AI innovations workflows and digital creativity

[Rachel Woods @TechWith_Rachel]

Tesla In INDIA 🤯

This AI-generated video was created entirely using AI tools and my own creative pipeline. From concept to execution, everything was handled by me.

Comment “Tesla” For the Prompt 🙌🏻

[Rachel Woods @TechWith_Rachel]

@heyDhavall Deeper footprints should make the agent outputs noticeably better

[Rachel Woods @TechWith_Rachel]

@manishkumar_dev This could make a huge difference for people who spend hours typing every day.

[Rachel Woods @TechWith_Rachel]

@AIwithGhotai Already thinking about all the creative projects these rewards could unlock!

[Rachel Woods @TechWith_Rachel]

@futurebylea Testing before deployment can save so many headaches later

[Rachel Woods @TechWith_Rachel]

@ajaysharma_here Less time fixing captions, more time focusing on the actual creative.

[Rachel Woods @TechWith_Rachel]

@ajaysharma_here Model independence makes all the difference.

[Rachel Woods @TechWith_Rachel]

@AIwithArsalan The detail panels gives the whole concept sheet a more professional look.

[Hasan Toor @hasantoxr]

If you're building agents on top of PDFs, invoices or scanned documents, pay attention to this.

Nace says Drex beats GPT-6 Astra, Claude Opus 4.7 and every other parser they tested, and gets 38% faster corrections on RealDocBench.

RealDocBench is built from real regulated documents, not clean academic PDFs. That's the benchmark you want to see.

Worth testing on your own documents.

[Lea Arden @futurebylea]

One thing I’ve noticed with AI agents is that getting them to work is one challenge, but getting them to work consistently in real-world situations is another.

That’s why I find this approach interesting. Testing different scenarios before users run into problems is a big step towards more reliable AI agents.

[Kalsoom (ghotai ) @AIwithGhotai]

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[Dhaval Makwana @heyDhavall]

agents are getting pretty good at research.

the bottleneck is still finding the right context on the person.

Ploid Deep Research gives Claude, Codex, or any agent a much deeper footprint to work with across accounts, media, and platforms that are easy to miss manually.

that could make a lot of research workflows much sharper.

[mahi Singh @mahiSinghfias]

🚀 30 AI Tools That Feel Like Shortcuts in 2026!

Work smarter, create faster & automate everything with AI. 🤖✨

From research to content creation, automation to app development — these tools can level up your productivity!

Follow @mahisinghfias for more AI updates!

[Kalsoom (ghotai ) @AIwithGhotai]

A client replied to a review email with six notes. In YouArt Desktop each one lands on the shot it's about and the agent works down the list. I didn't have to copy anything over.

[Rachel Woods @TechWith_Rachel]

@AIwithGhotai Testing against realistic user behaviour is something every serious agent workflow needs

[Kalsoom (ghotai ) @AIwithGhotai]

This is the kind of testing AI agents actually need.

A successful demo doesn’t necessarily mean an agent is ready for real-world use. The unexpected inputs, edge cases, and user behaviour are where things get interesting.

Being able to simulate those situations, identify failures, and verify fixes before deployment is a genuinely useful approach.

Love seeing more focus on making AI agents reliable, not just impressive in demos.

[Jaynit Makwana @JaynitMakwana]

crazy.. n8n Labs just open-sourced an AI agent with its own computer and browser

i've always said i'd never give an AI agent my inbox, and Nod is the first one that made me rethink that.

we all have a pile of small jobs that never get done. chase that invoice, cancel the trial before it renews, answer the slack thread from tuesday. chat tools explain how, and you still end up doing them yourself.

Nod has its own computer and browser, so it does the errand itself, in Gmail, Calendar, Slack, Notion and on websites with no integration at all.

the jobs i'd hand it first:

→ prep me before every call
→ draft the follow-up in my voice and wait for my ok
→ cancel the subscriptions i pick and ask for refunds
→ download month-end invoices from portals and file them

the reason i'd trust it with those:

→ only your words can give it permission, so a web page or an email can't
→ it checks with you before it sends, pays, posts or deletes anything you didn't ask for
→ the AI never holds your keys, and every payment with a saved card waits for your yes
→ in their WhisperBench test, none of 216 attacks planted a false memory in Nod

it also remembers months of past chats (93.2% on LongMemEval) and drafts in your voice by checking the emails you've sent.

Apache 2.0, runs on your Mac, Windows PC or own server, and you bring your ChatGPT plan, an API key or a local model. every task shows what it cost, and you can set a monthly limit.

it's a research preview, but if you've been waiting for an agent you can trust with real work, this is the one i'd try first.

https://t.co/QnaLKyCJCP

[Hasan Toor @hasantoxr]

Dario Amodei and Demis Hassabis think cancer and Alzheimer's disease will be cured in 10 years.

Founder of NovaAtom, @QuanquanGu predicts it would only take 4 years.

He left ByteDance Seed in June, where he built SeedFold, the model that beat AlphaFold 3 on FoldBench.

Now his 15-person team just launched NovaAtom-Lite.

> 79.07% on FoldBench antibody–antigen, vs. 75.58% for IsoDDE.
> 77.06% on protein–ligand, vs. 75.99% for IsoDDE.
> Live API today.

The next frontier is biology.

[Hasan @Ubermenscchh]

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[Rachel Woods @TechWith_Rachel]

@DivyanshiJ20056 @LinkedIn @LinkedInHelp @LinkedInIndia @LinkedInHelp Looking forward to a positive update.

[Rachel Woods @TechWith_Rachel]

@JaynitMakwana First agent that feels safe for email