FORGE by @sloppr_ai is a powerful demonstration of where AI monetisation is heading:
no subscriptions needed
no token-count pricing
and not scraped expertise repackaged for free, which is killing the creator economy.
FORGE is an answer-as-a-service marketplace where users pay for successful, cited answers.
Where the experts whose knowledge powers those answers earn from usage. π°
This is exactly the kind of value coordination and verification infrastructure that @TracNetwork is uniquely built to support!
> Access
> Attribution
> Proofs
> Receipts
> Payout logic
And all across either fiat rails or crypto-native systems.
The FORGE platform is a great demonstration that Trac can support knowledge-backed economies that feel simple for mainstream users, while still enabling the deeper infrastructure needed for truly verifiable AI markets.
AI doesn't just need better models.
It needs better economic rails for the knowledge those models depend on.
Sloppr just launched the Spotify for knowledge, and it's powered by Trac Network πͺ
Want to trade knowledge for $$$?
Introducing π ππππ:
An AI powered 'answers-as-a-service' marketplace, where your knowledge is protected:
π your source materials are never exposed to AI scrapers
β users only pay for successful answers
π° you earn USD every time your knowledge is provided in an answer (forever!)
Add knowledge for free and start earning today at https://t.co/KmWU3FIRjL
Something big just happened, but you might have missed it π
Here are two separate AI platforms:
FORGE from @sloppr_ai
SAUCE from @TAP_scope
FORGE is built with fiat rails (@stripe)
SAUCE is built with crypto rails ($TAP/@tap_protocol)
but they both share something architecturally significant and fundamentally new:
they're both proof-backed knowledge markets that are powered by @TracNetwork
both platforms demonstrate how valuable kowledge/information can become programmatically accessible, verifiable, and monetisable in a decentralised manner.
If users or agents want to access any of the knowledge provided by contributors, then there's a fee to pay.
and the people that contribute the knowledge, are paid whenever it's provided to someone within an answer.
If multiple people ask the question and get answers that utilise your contributed knowledge, then you get paid multiple times.
Importantly, all contributor's source material is gated/protected, never made accessible to anyone else. π
If the answer to a question doesn't exist on the platform, then no charge applies.
The AI isn't going to tell you what you want to hear, or just hallucinate in order to fill in the gaps (aka lie to you)
Neither SAUCE or FORGE are classic search engines, nor are they LLMs.
And that's a good thing!
Knowledge-backed economies cannot be searched in their entirety, and they can't be scraped by AI for zero cost.
The future of the agentic internet requires a verifiable knowledge layer like this.
And now it has one.
it's called @TracNetwork π§
FORGE by @sloppr_ai is a powerful demonstration of where AI monetisation is heading:
no subscriptions needed
no token-count pricing
and not scraped expertise repackaged for free, which is killing the creator economy.
FORGE is an answer-as-a-service marketplace where users pay for successful, cited answers.
Where the experts whose knowledge powers those answers earn from usage. π°
This is exactly the kind of value coordination and verification infrastructure that @TracNetwork is uniquely built to support!
> Access
> Attribution
> Proofs
> Receipts
> Payout logic
And all across either fiat rails or crypto-native systems.
The FORGE platform is a great demonstration that Trac can support knowledge-backed economies that feel simple for mainstream users, while still enabling the deeper infrastructure needed for truly verifiable AI markets.
AI doesn't just need better models.
It needs better economic rails for the knowledge those models depend on.
Sloppr just launched the Spotify for knowledge, and it's powered by Trac Network πͺ
Want to trade knowledge for $$$?
Introducing π ππππ:
An AI powered 'answers-as-a-service' marketplace, where your knowledge is protected:
π your source materials are never exposed to AI scrapers
β users only pay for successful answers
π° you earn USD every time your knowledge is provided in an answer (forever!)
Add knowledge for free and start earning today at https://t.co/KmWU3FIRjL
Want to trade knowledge for $$$?
Introducing π ππππ:
An AI powered 'answers-as-a-service' marketplace, where your knowledge is protected:
π your source materials are never exposed to AI scrapers
β users only pay for successful answers
π° you earn USD every time your knowledge is provided in an answer (forever!)
Add knowledge for free and start earning today at https://t.co/KmWU3FIRjL
SAUCE introduces a new role for Ethereum-side $TAP:
access to a knowledge-backed AI economy.
$TAP provides access to gated domain knowledge and expertise.
Knowledge that public models cannot access, and contributors should not have to expose publicly in order to monetise.
π§΅
SAUCE uses Trac Network as the public proof layer for gated knowledge.
The knowledge itself is not stored publicly on Trac.
Instead, Trac records the proof trail around that knowledge.
The content stays protected.
The lifecycle becomes verifiable.
π§΅
Introducing SAUCE:
Source
Attribution &
Usage
Compensation
Engine
This is the dawn of the AI knowledge-economy, and itβs powered by @TracNetwork and @tap_protocol
https://t.co/xEfzLvzCSR
π§΅
7/
SAUCE makes expert knowledge monetisable.
Trac makes all activity within its knowledge economy verifiable/provable.
SAUCE is live now on @TAP_scope:
https://t.co/WomhIiMcDk
6/
This is the stack:
SAUCE gates the knowledge π§
$TAP (@tap_protocol) unlocks access πͺ
Trac stores the proofs π§Ύ
The result is a new model for AI knowledge markets:
> private where it needs protection
> public where it needs verification.
The more I think about SAUCE, the more I think that a classic search-engine comparison is one of the easiest ways to understand why it matters π
and before we get started here, i think clarification of what sauce stands for is valuable context:
π π π π π:
πource
πttribution &
πsage
πompensation
πngine
Anyway, now that we have that out of the way, let's get going.
Search engines have always helped people discover public information online.
But some of the most valuable knowledge is not public.
It can't be public, as it would immediately lose its value.
The rise of LLMs will continue to make this exponentially worse, as agents continue trawling the internet 24/7, scraping as much knowledge and data as they can to try and obtain an edge within a particular domain.
Of course, the classic paywall model has been available for many years, with subscriptions offering paid access to expertise knowledge.
But, the thing about traditional paywalled content is that once you're behind the wall, you can see EVERYTHING, and the platform charges you that price regardless of how much you consume.
For example, I myself have had a @RealVision subscription for many years now, but if i'm being totally honest with, i've never maximised (not even close) my access to all of the deep knowledge and expertise that people like @RaoulGMI have been putting out for over a decade now.
If a platform such as RV adopted a SAUCE-style model, users would only need to pay for knowledge/alpha they benefitted from.
So SAUCE represents the arrival of an entirely new model for agentic knowledge-economies.
Real world knowledge, insight and expertise can now be accessed and paid for at a rate relative to the direct answer your question triggers.
And here's a really cool part.....if SAUCE doesn't have any relevant source material to be able to sufficiently answer your question, it tells you that, and charges you nothing.
And that's something we most definitely do NOT see from all these LLMs! π¬π
This actually leads me to a point I want to REALLY elucidate here:
Unlike traditional AI tools, including LLMs, which are models built in to of training data, or that scrape the entire internet to try and piece together a suitable answer for the user, SOURCE only consults the source materials and knowledge it has on record.
SAUCE evaluates and values submitted knowledge so it can determine how useful that source is, when it should be used, how it should be attributed, and how much contributors should be compensated for their knowledge.
And although this post is not an architectural breakdown, it is most definitely worth highlighting the role @TracNetwork plays in making this possible.
The knowledge itself does not need to be public or stored on Trac.
That would defeat the whole point of SAUCE, because the contributorβs source material could be viewed/copied.
Instead, SAUCE keeps the knowledge protected, while Trac stores proofs around all activity within the platform's knowledge economy.
This can include proofs of source, content hash, vaulting, valuation, usage, attribution, compensation, removal, revocation, and $TAP burn activity.
In other words, the content stays gated, but all the important events around that content are immutably provable.
This entire model has huge future implications for enterprise adoption of decentralised technologies along with agentic systems and processes.
And the fact that any token, from any chain/network (or fiat for that matter) can be integrated direclty into systems such as these when built with @TracNetwork, means that if this model were to take off in coming months and years, then Trac will gain an entirely new group of builders and appreciators around its ecosystem.
Many people claim they have 'the sauce', and now we can finally measure it in monetary terms.
Follow @fitzyOG for more in-depth breakdowns of innovative technologies. π€
AI is scraping your brain, for free. There is a way to turn the tables now:
- Vault your expert knowledge
- Monetize with $TAP
- Publish proofs on Trac Network
- Stay in control
Welcome to the Source Attribution & Usage Compensation Engine. SAUCE.
Introducing SAUCE:
Source
Attribution &
Usage
Compensation
Engine
This is the dawn of the AI knowledge-economy, and itβs powered by @TracNetwork and @tap_protocol
https://t.co/xEfzLvzCSR
π§΅
Introducing SAUCE:
Source
Attribution &
Usage
Compensation
Engine
This is the dawn of the AI knowledge-economy, and itβs powered by @TracNetwork and @tap_protocol
https://t.co/xEfzLvzCSR
π§΅