Jason Hood

📈 250k+ Followers | 🚀 AI Enthusiast & Entrepreneur 🔍 Want to collab? 👉 [email protected] | 🧑‍💻 Free: Built AI systems: revenue up 183% 👇

[Jason Hood @JasonKHood]

🚨 BREAKING:

Most people are using Claude like a simple chatbot.

The top 1% use it like a $10,000 AI employee.

Here are 10 powerful Claude prompts that will save you hours every week.

🧵👇

[Jason Hood @JasonKHood]

@BubaKoda The agent capabilities make this much more than another model aggregator.

[Jason Hood @JasonKHood]

@Replit @OpenAI The ability to start with a rough idea and just keep building on it is the part that clicked for me.

I started with a simple deal evaluator and somehow ended up with an entire creator deal desk 😂

Really enjoyed testing this one.

[Jason Hood @JasonKHood]

I started with a simple question in @Replit:

Could I build something that tells me which creator deals are actually worth my time?

That turned into a Creator Deal Desk that evaluates opportunities against my own pricing, recommends what to do next, and tracks the pipeline.

The interesting part wasn't getting the first version working.

It was how easy it was to keep asking “what if it also did this?” and keep building from there.

#ReplitPartner

[Replit ⠕ @Replit]

Replit Free Mode, powered by @OpenAI GPT-5.6 Luna.

Let’s make intelligence accessible to everyone.

[Jason Hood @JasonKHood]

@SallamMendes Hyper3D continues to deliver practical innovations.

[Jason Hood @JasonKHood]

Bloo is one of the most exciting examples I’ve seen of where consumer AI is heading.

The real opportunity is not simply putting AI into a moving robot. It is creating a companion that understands context, supports everyday routines and makes advanced technology feel natural inside the home.

What stands out to me is the focus on usefulness, personality and privacy. That combination will be critical if home AI is going to move beyond impressive demos and become something families genuinely trust and use every day.

I believe Bloo has the potential to help define this next category of ambient, embodied AI.

This is exactly the kind of innovation I want to see more of.

[Alireza Beig @alirezabeig]

Bloo, the robot that learns new skills in minutes is now ready for pre-orders. you can now reserver your Bloo with $5 to be in the first 500 units batch and receive $50 discount later. Or you may just stop by our office to meet Bloo.

[Jason Hood @JasonKHood]

Nobody gets fired for approving a $200 invoice. That's where the money goes.

Freehand checks every line against the contract. $26M recovered in weeks.

Paid partnership with Freehand.

Book Demo: https://t.co/2I8Q7w22WZ

[Jason Hood @JasonKHood]

83% of enterprises already run AI agents.

The advantage is no longer access to AI. It is the foundation beneath it: content, governance and flexibility.

Is your AI running on a system you designed, or one you inherited?

Report: https://t.co/ukPbxr0STb

#BoxPartner

[Jason Hood @JasonKHood]

@freehand_ai Every founder has approved an invoice they didn't read.

At Fortune 500 scale that habit costs 5-10% of freight spend.

[Jason Hood @JasonKHood]

The number to sit with isn't the $75M. It's that Fortune 500s audit 12% of invoices and pay the other 88% blind — not from negligence, but because escalating $200 costs more than paying it. Agents change that math. $26M in one pharma surcharge is what the math was hiding.

[Freehand.ai @freehand_ai]

We saved $260M in cash for cos. like Meta, Unilever, and J&J by finding baseless charges across 19M+ invoices.

Now, we've raised $75M to extend our guarantee: if we can't find $500K in overpaid invoices, we'll pay you $10K.

Book a demo: https://t.co/FbUCc391D5

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How it works ⬇️

PROBLEM:

A Fortune 500 gets a million invoices a year. Most of them are for a couple hundred dollars.

Checking one properly means opening the contract, pulling the rate card, matching the PO, and hunting down the bill of lading that proves the shipment moved the way the carrier says it did.

All of that work to defend $200. So nobody does it.

The pile goes to a human. The human audits only a sample (12%) and pays the rest (88%) blindly. That's where the money goes.

At a pharma co, we found an uncontracted surcharge billed across global carriers for two years. $26M nobody questioned, because every individual line looked ordinary.

Each surcharge is small enough that escalating it costs more than paying it. And there are a million of them.

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SOLUTION:

Freehand’s AI reads everything: every line of every invoice, against every contract, rate card, transaction data, bill of lading, warehouse record, time sheet, and email exchange between you and the supplier. It also analyses every past invoice, and transaction data with that supplier,
ever.

It holds all of this knowledge in a Context Graph. When an invoice arrives, it knows what you should pay, what actually shipped, if the service was delivered or not, what the SLA was, and what this supplier billed you for the same service last quarter.

Then it proactively:

> writes up the dispute with the evidence attached
> emails the supplier
> calls her when the email goes quiet
> Slacks your purchases team for more information
> Follows up until the invoice comes back corrected.
> Approves the correct invoice
> Pays it across different currencies and tax structures
> And accrues the right amount to your general ledger

Freehand’s will do all of that to recover $20, because it is doing it across all millions of invoices at the same time, saving 5-10% of company spend with 100% SOX compliance and auditability.

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🚨 RT + reply "FREEHAND" and we'll send you the AI upskilling guide that's already helped 750+ displaced workers move into more secure, higher-paying AI-native roles through Freehand's Transition Bootcamp.

[Jason Hood @JasonKHood]

Your website doesn’t close at 6pm. Your team does.

That’s where service businesses lose leads. A prospect visits after hours with a question, gets no answer, and leaves.

Zanderio’s AI sales agent handles enquiries, answers approved questions and routes hot leads to staff, 24/7.

[Jason Hood @JasonKHood]

@JibrilQanqadar Automatic sound placement is such a massive time saver.

[Jason Hood @JasonKHood]

@Med1_Ai It's cool to see it performing so well.

[Jason Hood @JasonKHood]

@Ricardo_Momo1 This makes creating ad creatives much more accessible.

[Jason Hood @JasonKHood]

@NyamaQuarter The level of detail is seriously impressive.

[Jason Hood @JasonKHood]

@TemiCastle This makes content creation feel much more accessible.

[Jason Hood @JasonKHood]

@koloveski Product videos are becoming much easier to create.

[Jason Hood @JasonKHood]

Your sales tech stack keeps growing. So why does critical customer context still fall through the cracks?

Most sales teams prospect in one tool, hold meetings in another, and send contracts from somewhere else.

Every handoff creates an opportunity for valuable context to disappear:

A key objection from the last call

Buying signals from earlier in the week

A prospect who just engaged with your demo

When context is fragmented, reps are forced to guess.

When context stays connected, they can engage with the right buyer, at the right time, with the right message.

That's exactly why we created the 2026 Essential Apps for Sales collection in the HubSpot Marketplace.

When paired with HubSpot Sales Hub, these 13 curated apps help your team keep customer context flowing across every stage of the sales cycle—from prospecting to close.

Here's what you can do:

✅ Prioritize the right accounts with real-time buying signals
✅ Automatically capture and organize every customer conversation
✅ Turn insights into action

[Jason Hood @JasonKHood]

I track stories like this every week — what the AI headlines actually mean for operators, not just what got announced.

Full breakdown of what Meta's reversal signals for 2026 AI strategy: https://t.co/1lGz0rpx04

[Jason Hood @JasonKHood]

3 days ago, Mark Zuckerberg admitted something no major tech CEO has said out loud yet.

In May, Meta cut 8,000 jobs to fund an AI restructuring.

This week, in an internal town hall, he told employees the AI transformation "hasn't really accelerated" the way they expected.

Here's what every founder should learn from this: 🧵

[Jason Hood @JasonKHood]

The founders who'll win this cycle aren't the ones who reorganize the fastest.

They're the ones who wait for a proven workflow, then scale what already works.

Speed of adoption isn't the moat. Discipline in adoption is.