Edge & Node

I created a FREE library of 18 commercial/sales Claude skills. Feel free to copy the markdown, paste it into Claude, and have Claude turn it into a skill file for you. Summary of each skill and link at bottom: /capacity — Model whether your current headcount and ramp can actually hit next year's number, and how many hires close the gap. /eventprep — Build a pre-travel target list for any conference or city, so you walk in knowing exactly who to meet or send messages before you travel to connect. /eventroi — Prove which conferences and sponsorships actually generate pipeline, so you can cut the ones that don't. /expansion — Rank your existing customers by upsell potential to grow revenue at a fraction of new-logo CAC. /fastpitch — Generate a prospect-specific pre-call brief in minutes so every sales conversation starts sharp and tailored. (This is my most used skill by far.) /forecast — Turn your open pipeline into commit/likely/upside scenarios, so you know if you'll hit quota and which deals to push. /kpidashboard — Design a role-specific KPI dashboard that surfaces leading indicators and tells you when to act. /objections — Convert your recurring lost-deal objections into a battle-tested response playbook for the whole team. /okrbuilder — Translate strategy into measurable quarterly OKRs with clear owners, so the team executes on what matters. /partnerscorecard — Vet channel and referral partners on a consistent scorecard before you sink legal and relationship time into a non-performer. /positioning — Map where you sit against competitors and find the defensible white space to own in buyers' minds. /pricing — Audit your pricing against willingness-to-pay and discounting habits to recapture revenue you're leaving on the table. /qbr — Run a rigorous quarter-end review of performance vs. plan with clear priorities for the next quarter. /qualify — Score any prospect against your ICP in seconds, so your reps spend time on winnable deals. /tam — Build defensible TAM/SAM/SOM numbers to validate a new market before you bet budget and headcount on it. /territory — Split accounts across reps to balance workload and coverage, so no territory is starved or overloaded. /velocity — Spot stalled deals and slowing sales cycles early. /winloss — Diagnose why deals are really won or lost and feed the pattern back into positioning and strategy. Link to copy markdown: https://lnkd.in/gpez2b5F

Starting this week, I'll be authoring the Edge & Node Signal newsletter. Signal is our weekly read on everything actually happening onchain and in AI: stablecoins, agent payments, the regulation racing to keep up with both. High signal, no noise, meaning something gets in because it moved the week, not because it's crypto adjacent. This isn't a newsletter about Edge & Node. It's the real stuff happening in the space: what Congress is doing with the Clarity Act, what the big card networks and banks are racing to build, where the money is actually moving. Every so often that overlaps with the compliance and verifiable data questions we work on with Amp, since that's the same world we build in, but that's not the point of it. Today's issue covers a Coinbase lawyer quitting the day his six year fight wrapped up, a trader who turned $800 into seven figures on a blockchain that launched a week ago, and why stablecoins just had their worst month since Terra while tokenized stocks had their best one on record. Every claim in it is linked to where I found it, so you can check my work instead of taking my word for it. I've read a lot of newsletters in this space that either read like press releases or read like nobody edited them. I'm trying to make Signal neither: sharp opinions, real sourcing, and short enough that you'll actually finish it. If you're building anywhere near this space, or just trying to keep up with it, I think you'll get something out of it every week. Read today's issue: tinyurl.com/yyj4j28b & Subscribe https: tinyurl.com/rvrab7c3

Here's another Claude skill I made that you can use for FREE to prep for events. TLDR - Isn't it a pain having to figure out who to reach out to at a certain event or in a city when you're traveling? It takes hours to manually sift through your leads and figure out who you should message ahead of a given event. I made a Claude skill to do the labor for us. I call it /eventprep. All you need to do is simply drop in a conference name or city (e.g., "/eventprep Token 2049" or "/eventprep Singapore"). Claude will research confirmed sponsors and attendees for the event, scrape your CRM for existing leads based in the city the event is hosted in, and compile a list of targets for you to reach out to and let them know you'll be in town. It can even draft message verbiage for you, too. Link to the gist: https://lnkd.in/gTv-KvQw Enjoy! PS - DM me if you want the actual .skill file instead of copy/pasting from the gist. No sales pitch from me, no strings attached.

Here's a Claude skill I made that you can use for free to get tailored pitches for your targets. TLDR - AI tooling has made it super simple to run pre-call research, surface red flags, pull CRM context, and frame a prospect-specific pitch. The unlock is abstracting your repeatable workflows into agentic skills that ultimately help you and your AEs pitch better. I'm sharing a skill I built called /fastpitch. You just drop in a company name and get a tailored brief in seconds: web research, CRM history, red flags, buyer archetype, and a pitch framed around their specific pain. Obviously, you should have Claude already trained on all your product docs/repos, and elaborate on anything else that's important to you. Since LinkedIn doesn't support attaching skill files, I'll paste it here as a gist: https://lnkd.in/gA8ZW2iC Enjoy! PS - If you DM me, I'll send you the actual skill file if you don't want to copy/paste from the gist. No sales pitch from me, just free and open knowledge sharing.

Ampersend is featured on the Amazon Web Services (AWS) machine learning blog today, co-written with the Amazon Bedrock AgentCore Payments team. The post walks through how we built a pay-per-intelligence routing layer on top of AgentCore Payments. Agents call ampersend, select a model tier based on task complexity, and pay per request in USDC on Base through the x402 protocol. AgentCore handles wallet custody, payment signing, and session-level spend governance so the agent operates within deterministic limits it cannot override. The payment architecture follows a two-hop pattern. The agent pays ampersend via AgentCore Payments, and ampersend settles with the upstream model provider using the ampersend SDK. From the agent's perspective, it's a single integration point. Provider selection, routing, and the second settlement all happen behind the scenes. The full integration landed in under two weeks. Building equivalent wallet custody, signing infrastructure, and spending controls from scratch would have taken the team an estimated 3–4 months. Rodrigo Coelho, CEO of Edge & Node: "We built ampersend to be the control layer for agent payments. AgentCore Payments was a natural fit. Managed wallets, spending guardrails, and x402 settlement let us demonstrate fully autonomous agent-to-agent micropayments in a matter of days." Full writeup on the AWS ML blog: https://lnkd.in/gBhyfSzW

Rodrigo Coelho and Pranav Maheshwari are presenting at Microsoft's AI Engineer World's Fair 2026 in San Francisco next week. Rodrigo opens with the strategic case for programmable budget governance: why per-agent spend limits, real-time transaction visibility, and full audit trails are foundational requirements for any team running agents in production. He also covers Edge & Node's founding membership in the x402 Foundation and why open standards for agent-to-agent and agent-to-service payments matter at ecosystem scale. Pranav goes deep on the technical stack: onchain data from The Graph, Amp Enterprise for auditable datasets at scale, ampersend.ai wired into LangChain, CrewAI, AutoGPT, and custom-built systems, and x402 and A2A standards for interoperable agent payments, including a full end-to-end deployment demo. 📅 Day 4 / July 2, 2026 🏢 Agentic Commerce track / Room 2006 ⏰ 1:30pm–1:50pm

Tomorrow we sit down with Chainlink Labs and TRM Labs to talk governance for AI agents that transact on their own. Forward this to whoever owns compliance at your company, because the hour covers exactly what they keep asking about: enterprise exposure, the agentic threat landscape, cryptographic proof of execution, and controls that hold up in an audit. 🎤 Free webinar on agent payment governance 🗓️ June 18, 4PM UTC 📍 Live on X and YouTube 🔗 RSVP: luma.com/1xu0jgc3

When an autonomous agent initiates a payment, the liability still lands on a person. We're unpacking what that means for enterprises with Chainlink and TRM Labs: where exposure sits, which attack vectors are emerging, how verifiable execution works, and what policy enforcement requires at machine speed. Rodrigo Coelho from ampersend.ai, Rowland Graus from Chainlink Labs, and Alex Kopferschmitt from TRM Labs live on X and YouTube. 🎤 Free webinar on agent payment governance 🗓️ June 18, 4PM UTC 📍 Live on X and YouTube 🔗 RSVP: luma.com/1xu0jgc3