Izzy

Though I find it hard to express my emotions in words, it doesn't mean I don't feel deeply.

[Izzy @iiizzy]

🛠️ The good news? You don't need to master a dozen tools. You only need three to unlock 80% of a Claude Code-powered RevOps workflow:

- An agent memory layer

- A stealth browser

- A solid skills library

[Izzy @iiizzy]

🧠 The biggest bottleneck in RevOps? Human memory. 82% of revenue leaders admit half their institutional knowledge is stuck in people's heads.

Worse? Out-of-the-box Claude Code forgets everything when you close the tab. Enter the rise of "agent memory" repos.

[Izzy @iiizzy]

🔮 Want to see the future of RevOps? Look at trading and DeFi repos today.

They are perfecting autonomous "observe-decide-act" loops in the open.

Give it two years, and this exact agent-native architecture will be the standard engine running revenue operations.

[Izzy @iiizzy]

🤯 51% of all GitHub commits are now AI-generated (Octoverse 2026).

We're way past asking if RevOps should use AI. The real secret? Knowing exactly which open-source building blocks turn your agents from simple autocomplete tools into autonomous powerhouses.

Let's dive in 👇

[Izzy @iiizzy]

Your Claude Code setup is missing a crucial piece: a self-writing knowledge base. 🧠✍️

​Stop losing track of valuable context and let your LLM document its own work.

​Read the full guide here 👇

https://t.co/F6V2bVQQ3n

[Izzy @iiizzy]

Resend vs Cloudflare Email Workers: What's the Difference? 📧🛠️

✅ Key differences in architecture
✅ Use cases for both
✅ DX and ease of integration

Read the full post here: https://t.co/Ylt4YztPW2
#WebDev #Resend #Cloudflare #EmailWorkers #DeveloperTools #Serverless

[Izzy @iiizzy]

Take back control of your prompts and easily track your LLM cost, latency, and tokens.

​Check out the quickstart guide, deploy it yourself, and drop a ⭐ on the repo if you find it useful!

​https://t.co/CuoVoRkqBw #LLM #AI #DevTools #PromptEngineering

[Izzy @iiizzy]

🚀 Building LLM apps? Stop hardcoding your prompts and losing track of versions.

​Meet PromptMetrics, a lightweight, self-hosted prompt registry built for LLM observability. Version your prompts like code, not database rows.

​Repo: https://t.co/CuoVoRkqBw

🧵👇

[Izzy @iiizzy]

🔐 Ready for real-world usage:

PromptMetrics includes multi-tenancy (workspace isolation), HMAC-hashed API keys with scoped permissions, and sliding-window rate limiting.

​You can spin it up via Docker Compose or NPM global install in minutes. 🐳

[Izzy @iiizzy]

✅ Git-native versioning

✅ Agent telemetry & tracing

✅ Built-in Web UI Dashboard

✅ No proxy, no vendor lock-in!

​Star it on GitHub: https://t.co/CuoVoRkqBw

#LLMs #OpenSource #PromptEngineering #Observability #LLMOps

[Izzy @iiizzy]

Struggling to keep track of your LLM prompts, latency, and token usage? 🤔

​Check out PromptMetrics: A lightweight, self-hosted prompt registry with Git-backed versioning and metadata logging for LLM observability! 🚀

[Izzy @iiizzy]

When a regulator asks "why did your AI deny this loan?" you need an answer deeper than "the LLM decided."

Start with the inventory. Map your touchpoints. Instrument one flow end-to-end.

[Izzy @iiizzy]

August 2, 2026 is not a soft deadline.

The EU AI Act kicks in 4 months. Fines: €35M or 7% of global revenue.

Most engineering teams have better version control for their CSS than their prompts

That's about to become a very expensive problem. 🧵

[Izzy @iiizzy]

Three actions this week:

grep your codebase for AI touchpoints

Classify each by risk tier (high-risk = hiring, credit, moderation)

Migrate ONE high-risk flow to versioned prompts

Don't boil the ocean. Build momentum.