Emma Rodriguez

Traditional supply chain veteran now building with AI.
Helping old-school logistics win in cross-border ecom.
Practical stories, tools & proven frameworks.

[Emma Rodriguez @EmmaRodAI]

Open Source AI Week is halfway through, and the real signal isn’t another model drop.

It’s the shift everyone is quietly talking about: open inference stacks (DeepSeek just open-sourced DeepInfer), on-device tools from the ExecuTorch hackathon, and agents that can actually survive production instead of just demo well.

For supply chain and cross-border work, this matters more than leaderboard gains. Can these tools cut manual re-entry, handle messy warehouse data, and stay cheap + reliable once volume, edge cases, and real costs show up?

Awards Night is Friday. The interesting question is which open projects actually survive contact with real operations.
https://t.co/qZNVElo5pn

@prompt2llife @cccyd_qwq @unicodef1wn @Next1ncome @NEXORAResearch @MOfengenden @systemsarch @Aria_Nawi @denasklncs

#OpenSourceAIWeek #OpenIntelligence #OpenSourceAI #AIAgents

[Emma Rodriguez @EmmaRodAI]

@suraj_sharma14 $150K for an early-stage AI agent is a pretty good reason to stop collecting ideas and actually ship one lol

[Emma Rodriguez @EmmaRodAI]

@sammy_capital The best part is the learning order at the end. Most people collect 50 GitHub repos and never actually build anything with them lol

[Emma Rodriguez @EmmaRodAI]

@ryangrowthh 2.2M impressions is impressive, but I'm more curious how much of that attention turned into actual followers. That's the metric I'd want to see lol

[Emma Rodriguez @EmmaRodAI]

@_avichawla @bot One bot coordinating 20 different harnesses sounds great. The real test is whether it can recover when one of them screws up halfway through lol

[Emma Rodriguez @EmmaRodAI]

@0xMovez The side-by-side demos are what caught my attention. Seeing why an animation feels wrong teaches you way more than copying another prompt lol

[Emma Rodriguez @EmmaRodAI]

@RuOnChain1 Building a market simulator overnight is cool. Getting it to behave anything like a real market is the actual challenge lol

[Emma Rodriguez @EmmaRodAI]

@carm1nee Building a quant strategy is getting ridiculously easy. Finding one that survives live trading is still the hard part lol

[Emma Rodriguez @EmmaRodAI]

@BrunoF566 A pretty ad gets attention. An ad that makes people actually buy is a different skill entirely. That's where the real money is lol

[Emma Rodriguez @EmmaRodAI]

@rsalimx 30M views is crazy, but I'd love to see the actual download and retention numbers. Views don't pay the bills unless people stick around lol

[Emma Rodriguez @EmmaRodAI]

I keep seeing people brag about how many agents they're running, but almost nobody talks about how much those agents waste doing absolutely nothing 😂

Making 300 bots cheap is cool. Making sure they only wake up when there's actual work? That's the part worth copying.

Still wanna see the real $6/week b

[Andrew @s4yonnara]

this is f*cking brilliant...

a 16-year-old CS student in China figured out how to run 300 Grok Bots for less than $0.02 per bot per week.

the same swarm could cost $4,500 a week.

he eliminated pointless status checks, stopped rereading entire chat histories, and killed endless retry loops.

now most bots only wake up when there's actual work to do.

Here 20 GitHub repos he used to make the setup cheaper:

01 Crawl4AI → turn web pages into clean Markdown before analysis, reducing the navigation menus and page clutter your bot has to read
https://t.co/rNfc9CBAcJ

02 Firecrawl → collect web content as Markdown or structured data so your workflow can select the fields it actually needs
https://t.co/hyiyX8fUtw

03 Chonkie → split long documents into manageable chunks so retrieval can select relevant passages instead of attaching the whole document
https://t.co/xO7UjWsDom

04 FlagEmbedding → rerank retrieved passages before generation, keeping the strongest evidence and dropping irrelevant matches from the prompt
https://t.co/wpEstsLsdo

05 LLMLingua → compress lengthy inputs before the model reads them. preserve the facts, constraints, and qualifications your task depends on
https://t.co/o9IkuX5hH1

06 RTK → compress common command outputs before they enter the conversation, keeping repetitive logs from swallowing the useful context
https://t.co/osSzKMN6Uk

07 GPTCache → reuse suitable answers to similar requests instead of generating them again. define matching and freshness rules around the task
https://t.co/f0sPjVimPv

08 Portkey Gateway → cache matching API responses behind a shared gateway, letting connected workflows reuse answers across repeated requests
https://t.co/xnyYiEubrY

09 Prefect → cache successful task results and reuse them when the configured inputs match, avoiding unnecessary reruns of completed workflow steps
https://t.co/Oaz14ksknU

10 Mem0 → store and retrieve relevant facts across runs so each assignment can start with selected memory instead of the entire conversation
https://t.co/RABqdelNBi

11 Graphiti → keep changing facts and relationships in a searchable graph, then retrieve the relevant context instead of replaying the event history
https://t.co/0AoIFN1K5u

12 requests-cache → keep fetched responses with expiry rules, then let your scripts reuse valid data before asking the bot to investigate again
https://t.co/nx1Jmb8CLw

13 Hishel → add HTTP caching and revalidation to your fetching tools, keeping unchanged responses out of repeated download-and-analysis cycles
https://t.co/lliJWMzoYN

14 APScheduler → schedule lightweight checks in Python and batch nonurgent work before handing useful updates to the agent
https://t.co/4dBrhVFPKd

15 Celery → put background jobs on a worker queue so code handles waiting and dispatch while model calls happen inside the tasks that need them
https://t.co/7WxQXZ0KYQ

16 PyBreaker → pause calls to a repeatedly failing service after a configured threshold, stopping one broken dependency from generating endless attempts
https://t.co/yXmYZ8qe6T

17 LiteLLM → track spending and set budgets for connected API calls before one runaway workflow eats the whole allowance
https://t.co/3i3LdEX9vk

18 RouteLLM → route simpler API requests to a cheaper model and reserve the stronger one for work that needs it
https://t.co/xE66esIhTE

19 Semantic Router → match requests to predefined workflows using local embeddings instead of paying a large model to decide every next step
https://t.co/KugeG1iIxC

20 Phoenix → trace your instrumented AI workflow, inspect repeated calls, and compare changes against output quality before keeping an “optimization”
https://t.co/PEynbFf3Mg

connect the tools your workflow needs through the terminal, MCP, or your own code. route API calls through the gateway or router you choose so its controls actually apply

start with the biggest leak: oversized inputs, repeated research, empty checks, or failed operations that keep restarting

filter before reading → reuse before generating → check for changes → stop failed loops

then measure completed work against total usage, including the tools running around your bot

the full course below shows how to put the workflow together ↓

[Emma Rodriguez @EmmaRodAI]

Funny how the AI videos getting millions of views aren't always the most technically impressive ones 😂

Just a grandma, a cat, and little everyday moments.

I think people are getting tired of AI content trying so hard to look insane. Sometimes something cozy and familiar is enough to make them come back.

[Finn @finnardley]

this ai grandma reel got 15.5M views

her page speedran to 63.2K followers and is already selling an E-book

the page runs on one character system

one granny and her cat. cooking, gardening, the seasons changing around them (the bio says the same)

almost every reel is the SAME two characters doing one small thing

-> she plants the garden
-> a storm rolls in
-> the cat stays right next to her

the seasons hand it a new topic every few weeks without anyone inventing one

why it works:
-> people follow a face they recognize
-> a grandma reads as safe, warm and familiar in under a second
-> the cat gives every reel a second face to watch

if you're building an ai page, lock the character before you chase the format

[Emma Rodriguez @EmmaRodAI]

I'd actually use this to challenge my own trade ideas.

Before entering a position, let Grok look at the chart and tell me what I'm missing or why my setup might fail 😂

That's way more useful than another bot screaming BUY every time RSI hits 30.

[Roan @RohOnChain]

Grok Bot + TradingView is one of the MOST powerful AI trading setups I’ve ever used

You can literally turn Grok Bot into your personal trading assistant in minutes

It'll run premium indicators on live charts, conduct deep technical analysis & more

feed this before it’s gone:

[Emma Rodriguez @EmmaRodAI]

@davidim Cheaper APIs are great, but pricing alone won't keep developers around. Reliability and speed matter just as much lol

[Emma Rodriguez @EmmaRodAI]

@0xCodez This is the kind of AI integration I actually want. Now make it find something worth watching instead of letting me scroll Netflix for 40 minutes lol

[Emma Rodriguez @EmmaRodAI]

@alexmashrabov I can see that happening. But once everyone can make the same kind of videos, having an actual personality will matter more than ever lol

[Emma Rodriguez @EmmaRodAI]

@0xTenzo 1,904 rejections is impressive, but I'd love to see those same filters survive a week of live memecoin trading lol

[Emma Rodriguez @EmmaRodAI]

@irabukht 200K ads a month is wild, but the real flex is knowing which ones deserve the budget. Making ads is cheap now, finding winners isn't lol

[Emma Rodriguez @EmmaRodAI]

@0xAI42exe Turning anime characters into real people is such a good content niche. Now I kinda wanna see what a real-life Zoro looks like lol

[Emma Rodriguez @EmmaRodAI]

@0xNevsky Copying a whale's buys is easy. Getting out before everyone else dumps is where things get ugly lol

[Emma Rodriguez @EmmaRodAI]

@carm1nee The real win is not building a DCF faster. It's spending less time on spreadsheets and more time figuring out whether the investment actually makes sense lol