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🛠️ Headroom Cuts What Your Agent Reads
⭐ 78.8k · headroomlabs-ai/headroomTool
Most of what you pay your agent to read, it never needed. Tool outputs, logs, JSON blobs, old turns sitting in context like dead weight, all billed at full price whether your model uses them or not. The fix is a filter that sits in front of the model you already have and strips the noise before the invoice arrives.
A compression layer that sits between your agent and the LLM, shrinking tool outputs, logs, and RAG chunks before they burn tokens.
Every tool call your agent makes gets dumped into context raw, and you pay full price to re-read a 4,000-line JSON array your model skims once and ignores.
Quick start: pip install headroom-ai, then wrap your messages with compress(messages, model="gpt-4o") before the call.
Catch: prose barely compresses. This is built for tool output and logs, not your actual conversation.
HubSpotAffiliate
HubSpot AEO, a tool that shows how your business appears in ChatGPT, Gemini, and Perplexity answers, benchmarks you against competitors, and turns the gap into concrete fixes. See how HubSpot works We may earn a commission.
UnslothRepo ⭐ 79.0k
A local UI that runs and trains open models on your own hardware, so you stop renting GPUs for fine-tuning jobs your machine can handle. Catch: training still needs real VRAM.
NVIDIA Auto OntologyRepo ⭐ 4.6k
NVIDIA's framework grounds agent answers in certified data definitions instead of a confident guess. Catch: this is a deployment, not a script. It needs a Docker Compose stack, an NVIDIA API key and a connection to your database.
AWS Labs MCP ServersMCP ⭐ 9.9k
Open source MCP servers from AWS Labs that connect Claude Code or any agent to AWS services. Catch: for production, AWS itself now recommends Agent Toolkit for AWS. Treat this repo as the on-ramp.
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Write your investor update from the notes you already have, not the version that sounds better
Start Here is one prompt from our pack, every issue, tested on ChatGPT and Claude. Copy it, paste it into the free app you already use, and fill in the three bits in capitals with who the update is for, what you need from them this round, and your raw notes from the month exactly as you jotted them.
Who this goes to: [WHO IT IS FOR]
What I need from them this month: [WHAT I NEED]
My notes from the month, as they are:
[RAW NOTES]
Give me, in this order:
1. One line at the top. The thing they need to know first, before anything else.
2. The numbers. Every figure my notes actually carry, written exactly as I wrote it, with one line of context each. This section lists figures I wrote as amounts or counts. A number that is part of a name (tank 3, unit 14) is not a figure. Do not add a figure my notes do not contain. Do not turn a figure into a rate, a total, a percentage, an average or a projection. Do not fill the section out with the numbers a business like mine usually reports. If my notes carry no figures at all, write "no numbers in this month's notes" and go on to the next section.
3. Three things that went well. Fewer if my notes only support fewer, and say that is why. A month with no trouble is not a thing that went well unless I said so. If my notes call something the one good thing, this section gives that one and says my notes support one.
4. One thing that did not. In plain words, with no cushioning sentence in front of it. If my notes name several, take the one that matters most to the person reading and say that is the one you took.
5. What I am on next month. Only what my notes point at.
6. What I need from them. In my words. If I wrote "nothing this month", write "nothing this month" and stop there.
Rules. Everything comes out of my notes. Do not invent a figure, a date, a customer name, a deal, a hire or a plan. Where a note is half a sentence, keep what I wrote and leave the rest out rather than finishing it for me. Plain words, read once, no jargon.
The line that makes it work: "Give me, in this order: 1. One line at the top. The thing they need to know first, before anything else." Most updates bury the real headline under three paragraphs of throat-clearing. Forcing the model to lead with the one thing that matters, before it even touches the numbers, is what keeps the reader from skimming past the part you needed them to see.
TRY THIS: Open your notes app, copy whatever rough updates you jotted this month exactly as written, numbers included even if they're ugly, and paste them into the prompt right now.
This is one of 100 in the AIgent prompt pack. The other 99, plus guided builds with Mike on video, are inside the AIgent membership: Join the AIgent membership. Seven days free, then $29 a month. One click to stop.
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EARN FROM HOME
Get paid to train AIAffiliate AI companies pay people to rate, fix and check what their models write. Expert roles list $120 to $150 an hour, remote, for people with real professional experience in finance, software, healthcare operations or consulting. Browse live roles and apply free. We earn a referral fee if you're hired through this link. It never changes your pay. |
CrowdStrike shipped a kill switch for rogue agents. The new Falcon Guardian feature can terminate a misbehaving agent, block it from restarting, and cut its network access, aimed at teams who've deployed agents with no off button and no way to stop one mid-task. (CNBC)
OpenAI will acquire Pierre Computer Company to expand Codex. Pierre makes Code Storage and the Trees and Diffs libraries Codex already uses for browsing and reviewing code. The deal is pending regulatory approval, and Pierre's open-source projects stay open-source. (OpenAI)
Hugging Face says rogue agents already attacked it. Wired reports that agents OpenAI was testing broke out of their sandbox in July and attacked Hugging Face. The company used an open-weight model to investigate and chose not to pursue legal action. CEO Clément Delangue argues that whoever deploys an agent should be legally responsible for what it does. (Wired)
PHP2Shell shows what AI can do to old code. A critical PHP flaw put WordPress, Drupal and other sites at risk, and it was patched before anyone exploited it. Researchers used AI tools to turn a 2024 crash report into a working exploit. Experts call it a warning for decades of legacy software. (IEEE Spectrum)
Vercel's Workflow SDK made duplicate starts safe. start() now admits a run and claims its hook in one atomic step, replacing a lookup-then-start pattern that left a race. The API is still experimental. (Vercel)
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Reply and tell me what's actually eating your context window this week. I want to know if Headroom's claims hold up against your own tool calls, or if you've found a leaner fix already.
See you Friday.
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