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a close friend lost $2,000 because he signed a contract he didn't fully understand. the terms were buried in legal jargon... designed to confuse, not inform.
and it's not even close to rare. professionals everywhere are handing over their rights to people who know exactly how to hide bad clauses in plain sight.
that's why i built Termscan.
upload any contract or terms of service. the AI reads it like a lawyer and explains it like a friend. plain language.
it flags what actually matters: liability, IP ownership, auto-renewals, termination terms... the stuff that costs you later.
Termscan drafts a negotiation email for you. professional, specific, ready to send.
the biggest losses come from deals you didn't read.
LOVE this. Great work 👏🏼👏🏼
haha, Clark this really means alot to me thanks for the review
this is SO helpful
i am so happy you saw the usefulness, thanks for your review too, am grateful
This is amazing
Great work
very grateful for the review
Absolutely in love with it already. That's a lifesaver right there👍
les goo
Useful tool.
looks good!
The network for creativity
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I wanted to test whether Invideo Editor’s AI timeline agent could take multiple disconnected raw camera angles and engineer a broadcast-ready commercial teaser with custom optical transitions from scratch.
How I built it:
The Footage: 6 raw, silent studio B-roll angles of the $3M Gordon Murray T.50 hypercar.
Agent Direction: Prompted the agent with a visual reference to sequence a 14-cut teaser alternating forward and reversed speed ramps, scored to a dark cinematic sub-bass pulse. It engineered an Aero-Viewfinder & 35mm Optical Shutter Burn transition system on Track V2 (Screen blend mode) and synced mechanical shutter snaps with deep sub-bass impacts across every cut.
Human Refinements: I dialed the exposed Inspector controls to extend the optical flash duration to 8 frames (ensuring the full glowing viewfinder frame lands visually), pushed layer opacity to 100%, and balanced the sub-bass impact levels.
Editable Project Timeline:
👉 https://invideo.io/share/Export-9-Oct-pRI8whBWsyz
#invideocontrachallenge #invideoeditor #gordonmurray #hypercar #vfx #aiagent
Figma to lovable by connecting MCP
One prompt. One Figma file. A working website. 👀
So, what did I actually do here?
I analyzed how AI interprets UI designs, how it understands layer names, and how naming conventions affect the generated output.
Then I structured my Figma file accordingly and gave Lovable a single prompt.
And honestly? It nailed it.
No complicated back-and-forth. Just a better-structured design and a smarter workflow.
Live preview: https://fleeswora.lovable.app/
This experiment reminded me that AI-assisted design isn’t just about writing better prompts. It’s also about preparing our designs so AI can understand them.
Designers, are you optimizing your Figma files for AI yet?
A buyer fills in "Book a Viewing" on a real estate website.
Within 60 seconds, an AI voice agent calls them back, answers their questions and books the viewing on the live calendar.
The team starts the day with viewings booked, not a list of people to call back.
A quick check for your own business:
- open your last 20 website leads.
- For each one, compare when the form came in with when someone first called.
If the usual gap is hours rather than minutes, that's where your viewings go.
Want that gap closed?
I'd love to discuss your setup in more detail.
P.s the case study is on my profile
The 60-second callback isn't a feature — it's the entire competitive advantage. Great breakdown, Katya.