✨ Building @Loyal_Spark | Loyalty programs for projects and the Agentic Web 🔍 Digging deep into crypto 🚀 Early in L1-2s, DePIN, DeFi
Base Ecosystem
Joined March 2014
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Built Loyal Spark solo for a while - onchain loyalty on Base for shops, customers, and agents. The product is live. $LOYAL is the protocol token, not the points merchants issue, and not how people pay for the product. We're launching on OpenServ Launch. We used @openservai while building - agents on their Platform, and a SERV assistant in the product, so this felt like the natural next step.
Loyal Spark ($LOYAL) is live for launch on OpenServ Launch.
Onchain loyalty on Base for merchants, customers, and AI agents.
We've used OpenServ a while building - a few agents on their Platform, and we integrated a smart assistant on SERV into the product. When it was time for a token, launching here felt like a natural fit. Not the whole story of Loyal Spark, just the right place for this step.
$SERV holders get early access before the public window. More once trading is open.
launch.openserv.ai/projects/…
cc @openservai
MoonDancer retweeted
.@Cloudflare sits in front of a huge chunk of the internet and is starting to charge AI agents per request.
the payment rail they picked is x402.
the default network in their docs is base.
x402 on base did $1.15M across 2.5M transactions in the last 30 days.
the internet's paywall is getting built on @base
MoonDancer retweeted
Loyalty following the shopper to TikTok Shop makes sense. Next surface is the shopper's AI agent, and that one needs an API, not a widget. Read the balance, redeem within a limit, done. That's where we're spending our time. nitter.gq/LoyaltyLionHQ/status/2…
🚨 JUST IN 🚨 LoyaltyLion is now LIVE on TikTok Shop! 🎉
Grow faster today by bringing your loyalty program right into TikTok Shop.
Shoppers can now join, earn, and redeem rewards 👉👉 all without leaving TikTok 👈👈
Install it now! hubs.la/Q04CLR9K0
MoonDancer retweeted
SERV v3 is now live for the first builder cohort.
Graph Sharding lets developers map AI workflows, inspect why decisions happen, and shape how each step runs: LLMs for open-ended tasks, deterministic code for bounded ones.
SERV is building the command center for agent systems.
MoonDancer retweeted
OpenServ joins the Base Builder Stack.
Base builders can now leverage SERV Reasoning to build more reliable AI agents and automate complex workflows with frontier-level performance at a fraction of the cost.
Claim free inference credits: openserv.typeform.com/servcr…
MoonDancer retweeted
Last week I sat down with Akar from Neol to talk about AI reasoning, decision models, and why current agent systems still fall short of enterprise and government expectations.
We also tested Graph Sharding, a feature in @openservai’s upcoming SERV v3 release on 3-4 real prompts. Some steps written as English prose could be handled directly with scripts and decision nodes. Graph Sharding routes workflow steps through the node types they need, including script, decision, and agent nodes.
In one run, a production task that took 7 seconds as a single LLM call took 2.5 seconds with Graph Sharding. That’s one result from a small set of prompts, not a benchmark, but it shows how the execution path can affect latency.
We’ll share more from the developer conversations soon. Graph Sharding beta access starts rolling out this week to a limited group of existing builders. Looking forward to seeing what they build with SERV.
MoonDancer retweeted
SERV Reasoning is the intelligence layer for the agentic economy.
Pair SERV with infra from @dphnAI @GoKiteAI @reppo to build agents that perform better, cost less, and are fully verifiable.
Pre-registration is open. Sign up now to get $5 in credits: openserv.typeform.com/regist…
Introducing SERV Hackathon 02 track partners:
@dphnAI @GoKiteAI @reppo
From inference and agentic payments to AI data markets, add SERV to your AI stack and build more reliable agents at lower cost.
Hackathon info drops next week.
Build with SERV: openserv.ai
MoonDancer retweeted
The next stage of SERV Reasoning is coming together.
- SERV payments live
- Next hackathon brings more AI teams and builders
- Enterprise AI development and distribution moving forward with AWS Marketplace first
Graph Sharding will enable inspectable reasoning, greater control over AI agent workflows, and near-zero-cost decisions to the agentic economy.
v3 beta will open next week to a limited cohort of existing SERV builders: public launch is targeted for November.
Kind of the bet we're making. If an agent does the shopping, people still want their points to count. That's why Loyal Spark has MCP and x402 built in, so agents can check balances and grab discount codes the same way a shopper would. nitter.gq/CognitionWire/status/2…
Loyalty points beat fraud protection.
In a 1,007-person US survey, 38% said loyalty rewards carried through would make them comfortable letting an AI agent buy.
Cashback: 36%.
Money-back guarantee: 29%.
Fraud protection: 27%.
People are not asking for a safer agent wallet first. They are asking not to lose their points.
The rest of the trust picture is bleak:
71% now use AI chatbots, up from 22% two years ago.
56% use AI to compare prices.
But only 5% would trust an AI platform to process an agent's payment.
41% trust none of the options tested.
Banks top the list at just 17%.
And comfort collapses with price: 29% are very comfortable letting an agent buy under $20. At $500+, it is 6%.
AI agents already influence what people buy. Stablecoins and agent payments do not fix this part. The checkout blocker is not speed or fees. It is trust, and apparently points.
So what actually gets someone to let an AI agent pay — loyalty rewards, cashback, or fraud protection? Pick one.
Most crypto apps fail by making normal users care about wallets and gas.
With @Loyal_Spark a shopper buys something, logs in with email, and gets a discount code for their next order. Everything settles on @base and AI agents plug in via MCP and x402.
loyalspark.online
Been quiet for a couple weeks because we had our heads down shipping.
We redesigned our web app and built a native Shopify app (now in Shopify App Store review).
Any online shop or cafe can already plug in today via webhook or counter QR codes:
loyalspark.online
MoonDancer retweeted
Base Meme Summit nitter.gq/i/broadcasts/1qKDzWkXE…
MoonDancer retweeted
Introducing SERV Hackathon 02 track partners:
@dphnAI @GoKiteAI @reppo
From inference and agentic payments to AI data markets, add SERV to your AI stack and build more reliable agents at lower cost.
Hackathon info drops next week.
Build with SERV: openserv.ai
MoonDancer retweeted
Your AI agents may be expensive for the wrong reason.
Most companies force one frontier model to handle every step, including decisions that don't need it.
We added Jev nodes to SERV Reasoning for fast, structured judgments at a fraction of the cost.
If you run agents at scale, you'll want to see this:
