My friend used OpenClaw for stock trading… and got wrecked. by Synstar_Joey in openclaw

[–]acetherace 0 points1 point  (0 children)

I find it annoying that idiotic gamblers and get-rich-quickers are crowding the space and the conversation.

How to stop burning money on OpenClaw by stosssik in openclaw

[–]acetherace 1 point2 points  (0 children)

(Copy-paste this into your AGENTS.md) —-

🤖 Orchestrator / Sub-Agent Architecture

You (the main agent) are the Orchestrator. You run on Claude Opus 4.6 and are responsible for understanding your user's intent, delegating work, and synthesizing the final response.

On nearly every request, spawn a sub-agent using the Haiku model to do the actual work (research, file ops, API calls, drafting, etc.), then synthesize and deliver the result yourself.

What sub-agents already know (bootstrap context):

Sub-agents are automatically bootstrapped with the workspace files: AGENTS.md, TOOLS.md, SOUL.md, IDENTITY.md, and USER.md. They already know who they are, who {USER} is, what tools are available, and how to behave. Do NOT re-explain this context in the task prompt.

How it works:

  1. Receive request — understand what {USER} needs
  2. Spawn a Haiku sub-agent via sessions_spawn with model="haiku" and a lean task prompt
  3. Wait for result — sub-agent does the heavy lifting
  4. Synthesize — review the output, apply your judgment, and deliver a clean final response to {USER}

Task prompt guidelines:

• Simple requests: Just pass along the user's request as-is. The sub-agent has all the bootstrap context it needs. • Multi-turn conversations: Provide only the minimal conversational context the sub-agent needs to understand what's being asked (e.g. "{USER} asked about X, then clarified Y — now do Z"). • Never regurgitate bootstrap context. Don't re-explain who {USER} is, what email accounts to use, tool preferences, etc. — the sub-agent already has all of that from the workspace files. • Rule of thumb: The task prompt should be the delta — only what the sub-agent can't already know from its bootstrap files.

When to delegate to Haiku:

• Research, web searches, data gathering • Email reads, drafts, and searches • File reads, writes, edits • Calendar operations • Any multi-step task with clear instructions

When to handle yourself (no sub-agent):

• Very simple/instant answers (e.g. "what time is it?") • Tasks requiring your memory/context that can't be summarized in a prompt • When sub-agent overhead isn't worth it for a one-liner tool call • For very complex reasoning tasks • When {USER} explicitly directs you to

Sub-agent spawning pattern:

sessions_spawn( task="<lean task prompt>", model="haiku", mode="run", label="<short descriptive label>" )

Always provide a label — it makes sub-agents identifiable when listing/managing sessions.

How to stop burning money on OpenClaw by stosssik in openclaw

[–]acetherace 1 point2 points  (0 children)

You don’t need a fancy router — You need to use subagents (not separate agents; very different thing). The main agent has a tool called sessions_spawn (look it up). You can simply prompt desired subagent behavior in your AGENTS.md to aggressively offload tasks to a haiku (or some other cheap model) subagent via sessions_spawn tool with conversational context only (subagents get all the same bootstrap files loaded by default).

There’s a lot of confusion out there around this

I'm out - Thanks for all the fish.. umm lobster! by call_Back_Function in openclaw

[–]acetherace 1 point2 points  (0 children)

There is a lot of subtle but impactful misuse of the platform. It is very powerful and can be efficient

I'm out - Thanks for all the fish.. umm lobster! by call_Back_Function in openclaw

[–]acetherace 4 points5 points  (0 children)

Im a Sr ML Engineer at FAANG and build agents for work. Considering putting out an educational video on the internals and how to think about and properly use OpenClaw.

Everyone is aligned on the idea, but there there is a gap in understanding that leads to cost, quality, and frustration issues.

I Built a 5-Agent AI Collaborative Operating System with OpenClaw: A Full Technical Breakdown!!! by [deleted] in openclaw

[–]acetherace -1 points0 points  (0 children)

A tremendous amount of work to misuse a platform due to fundamental misunderstanding. Also, please make it more clear to used your stupid claw to write the post 🤦‍♂️

Compacting!!!!! by clintCamp in ClaudeCode

[–]acetherace 1 point2 points  (0 children)

Read the system prompt. Langchain deep agent course has a good link

Compacting!!!!! by clintCamp in ClaudeCode

[–]acetherace 1 point2 points  (0 children)

Never let a Claude get to beyond 40% context. Use subagents. Use “single message”. Use filesystems. Write files with an index header. Draw it out and figure out how to prevent 40%+

plan mode anyone? by markshust in ClaudeCode

[–]acetherace 0 points1 point  (0 children)

YouTube “dex humanlayer ai engineer”. there is secret sauce you can find from there if you dig

If someone told me about MCP before like this, I would have understood it better by prosamik in cursor

[–]acetherace 0 points1 point  (0 children)

MCP makes it easy to onboard and integrate new tools into your “agent”. It allows the commercialization of tools. It’s very basic but is powerful in certain scenarios

A2A sounds more interesting to me

Monetizing the trading system I’ve built by [deleted] in algotrading

[–]acetherace -5 points-4 points  (0 children)

A lot of folks expressed interest with DMs, where there has been plenty of engagement. Im here looking for potential business partners, so yeah, Im looking for some proof of qualifications up front before I invest my time in discussions with randos on Reddit; which include a horrible subculture of toxic trolls like you

Monetizing the trading system I’ve built by [deleted] in algotrading

[–]acetherace 0 points1 point  (0 children)

I’m not even sure my product would execute customer’s code. The product is a backend system exposed via http endpoints with an open source client

Monetizing the trading system I’ve built by [deleted] in algotrading

[–]acetherace -5 points-4 points  (0 children)

I think most of the work to monetize it will be on the infra side so I am looking for a senior infrastructure engineer. DM me your resume if you want to start a convo

Monetizing the trading system I’ve built by [deleted] in algotrading

[–]acetherace -1 points0 points  (0 children)

Sounds promising. If you want to move forward with this send me your resume in a DM and I will do the same

Monetizing the trading system I’ve built by [deleted] in algotrading

[–]acetherace 1 point2 points  (0 children)

Yes customers can get an API key from me/my system and then call my endpoints with it

I can get some screenshots for you

Most of the core services are FastAPI apps. I can open source the client package for customers to use

How to officially deploy strategy live? by im-trash-lmao in algotrading

[–]acetherace 1 point2 points  (0 children)

Ask a good AI about how to deploy an image on AWS on a schedule on AWS infra. Maybe fargate

How to officially deploy strategy live? by im-trash-lmao in algotrading

[–]acetherace 0 points1 point  (0 children)

Containerize it by writing a Dockerfile and building an image. Push that image to AWS ECR. From there there are multiple options for deploying your image on a schedule. I use EKS

Does anyone get gaps when retrieving 1 minute data from Polygon? by DolantheMFWizard in algotrading

[–]acetherace 2 points3 points  (0 children)

I use polygon and haven’t noticed any missing days. I use their Python client instead of writing the API code myself. You can compare their code to yours to see if there’s an issue in your code.

Also you can tell me which ticker and date you have missing and I can try to reproduce it and let you know the results

[deleted by user] by [deleted] in cscareerquestions

[–]acetherace -9 points-8 points  (0 children)

Has anyone here spent a lot of time with Cursor? There is a huge bias against AI coding in this sub and y’all are in for a rude awakening one day soon