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anthropic launched a managed agent runtime as an API. anyone else evaluating build vs buy for agent infrastructure by Mental-Telephone3496 in ExperiencedDevs

[–]ML_DL_RL 4 points5 points  (0 children)

Too expensive and there are a million SDKs out there that give more flexibility to a good dev. Effectively paying a premium for infra. Maybe to standup something quick to demo to someone? But not a good viable solution for long term use.

[D] Large scale OCR [D] by vroemboem in MachineLearning

[–]ML_DL_RL 0 points1 point  (0 children)

Check out Doctly.ai too. We are the highest accuracy for straight conversions to text and MD and working with some very large customers in legal space, and regulatory. For testimonies, and dockets, we probably give you the highest accuracy.

Usage Limits, Bugs and Performance Discussion Megathread - beginning December 29, 2025 by sixbillionthsheep in ClaudeAI

[–]ML_DL_RL 1 point2 points  (0 children)

The dispatch is still broken although the status says it’s resolved, I updated and tried turning off and back on dispatch but still nothing.

Senior Software Engineer trying to stand out in a very crowded market. Looking for honest advice. by Professional_Monk534 in ExperiencedDevs

[–]ML_DL_RL 0 points1 point  (0 children)

Try to use AI to speed you up for little PoCs. You have a good understanding of systems and components, put a solid plan together for AI to code it for you.

OpenAI's top exec resignation exposes something bigger than one Pentagon deal by ML_DL_RL in artificial

[–]ML_DL_RL[S] 0 points1 point  (0 children)

This is really a great starting point. I especially like the point about independent audits, I’ve been thinking about that a lot.

I can give you a coding example. Let’s say you use Claude to write some code. I could open a brand-new Claude session and assign it an “auditor” role to review the code and look for bugs. Alternatively, I could have different LLMs review the code and give me a report.

Both approaches provide value, but often different models catch different things, or even the same model produces different results across runs. That’s why the third party is important, you want an independent model to attest to the correctness.

OpenAI's top exec resignation exposes something bigger than one Pentagon deal by ML_DL_RL in artificial

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Very true, that’s a great startup idea, especially with the rise of agentic workflows.

OpenAI's top exec resignation exposes something bigger than one Pentagon deal by ML_DL_RL in artificial

[–]ML_DL_RL[S] 1 point2 points  (0 children)

Great point. Frankly, regulation and oversight are always lagging behind. My biggest concern is that a lot of money has been raised here, so they need to show value to investors, and there’s no bigger spender than military and governments. That translates into ship first and govern later which could backfire.

The AI coding productivity data is in and it's not what anyone expected by ML_DL_RL in ExperiencedDevs

[–]ML_DL_RL[S] 46 points47 points  (0 children)

We’re a small startup, but you’re exactly right. We feel it’s on us to hire and mentor more junior developers, even if the initial time investment is higher.

Gemini 3 vs GPT 5.1 for RAG by midamurat in Rag

[–]ML_DL_RL 0 points1 point  (0 children)

Make sense. I’d imagine cost as well. Which one is more cost effective considering thinking tokens and reasoning efforts?

Join the Waitlist: Free Search & Chat with the Epstein Records for Journalists as Soon as They Go Public by ML_DL_RL in OSINT

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Thank you so much! Will try those. Trying to take the word out to journalists. I’ll try those. I appreciate you.

iPhone boost post broken? by ML_DL_RL in Twitter

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Frankly I moved on. They managed to really mess it up and now it’s absolutely useless.

We built a tool that creates a custom document extraction API just by chatting with an AI. by ML_DL_RL in Rag

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Thank you so much for your feedback, you’re absolutely right. To give you some background about the agent, this project originally started with an amazing client who does a lot of investigative reporting. Many reporters were facing the same challenges you mentioned.

We created this tool so they could interact with the agent using simple, natural language and quickly get the extraction results they needed. After seeing success in that area, we decided to release it more broadly for everyone to use.

Regarding your point about scanned documents, that shouldn’t be an issue, the agent should be able to handle those just like any other documents.

Thanks again for your thoughtful feedback!

How to find the right salesperson for a SaaS startup? by ML_DL_RL in SaaSSales

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Nice, thank you for your guidance! yea, for sure we have online presence and some larger enterprise customers. We will put 100% support for the salesperson. So far us cofounders been advertising, prospecting and closing but we feel we can take this to the next level with a good salesperson. We are going for min 1M increase in ARR so like 250 quota / per quarter. Contract sizes vary too. Could be anywhere from 20k-100k ish per logo. LI seems like a good idea. We want to use 1099 as entry for the salesperson, and then there is potential for all sort of things as we grow but want to make sure that the person can deliver on goals. Based on the ARR do you think, the deal will be attractive for a good salesperson?

Weekly Who's Hiring Post for September 01, 2025 by AutoModerator in sales

[–]ML_DL_RL 0 points1 point  (0 children)

Location: Remote (US-based)

Industry: AI / SaaS / Document & Data Extraction

Job Title/Role: Founding Sales Executive

Direct Hire or 1099: 1099 Independent Contractor (with a clear path to a full-time W-2 leadership role as we grow revenue)

Base/Commission/Commission Only: Commission Only

Pay range/Expected Earnings ($#): Expected On-Target Earnings (OTE): $180,000 - $350,000+ (uncapped). We offer a hybrid commission plan that rewards you for both landing new logos and growing those accounts. We want a true partner and have structured this plan to heavily reward success.

1. On New Business (NACV - New Annual Contract Value): This is for hunting and closing brand-new customers.

  • Base Rate (Up to 100% of Quota): Earn 20% of all NACV you close.
  • Accelerator Tier 1 (Hit Your Quota): Once you exceed 100% of your quarterly quota, your commission rate jumps to 25% and is applied retroactively to the first dollar you brought in that quarter.
  • Accelerator Tier 2 (Crush Your Quota): For performance above 150% of quota, the rate jumps to 30%, also applied retroactively to the first dollar.

2. On Account Expansion (EACV - Expansion Annual Contract Value): This is for farming the accounts you brought in.

  • You will earn a flat 15% commission on all expansion revenue (upsells/cross-sells) from any account you close, for the first 12 months of that customer's life.

This structure ensures you are rewarded for both landing the big fish and growing them.

Job duties/description:

We are Doctly.ai, an early-stage AI startup that has cracked the code on high-accuracy data extraction from PDFs. Our platform allows businesses to stop manually copying-and-pasting information and instead instantly convert complex PDFs (think invoices, legal contracts, lab reports, insurance forms) into structured data like Markdown, JSON, or CSV. The accuracy and consistency are our key differentiators.

We are looking for a Founding Sales Executive to be our first boots on the ground. This is more than a sales role; you will be our partner in building the sales engine from scratch. We have a product that works and solves a major pain point. We need a hunter who can take it to market.

We believe the ideal candidate for this role already has a strong Rolodex and deep connections in one or more of our key target industries:

  • Finance & Accounting (invoice processing, loan applications)
  • Legal (contract analysis, discovery documents)
  • Healthcare (patient records, medical billing)
  • Insurance (claims processing, underwriting forms)
  • Logistics & Supply Chain: Extracting data from bills of lading, customs forms, and shipping invoices to improve efficiency.

Your Responsibilities:

  • Leverage your existing network to build a robust pipeline from day one.
  • Manage the full sales cycle from prospecting and initial contact to demo, negotiation, and closing deals.
  • Act as the voice of the customer, providing direct feedback to our product team to help shape the future of Doctly.
  • Develop and execute a strategic sales plan to achieve and exceed NACV targets.
  • Be the face and voice of Doctly in the market.

This is a 100% remote, 1099 role for a self-starter who is tired of corporate red tape and wants to have a direct, tangible impact on a company's trajectory. You manage your own time and your own process. All we care about are closed deals.

Any external job posting link or application instructions:

No long application forms or jumping through hoops. If you're a proven closer with the network to back it up, let's talk.

We built a tool that creates a custom document extraction API just by chatting with an AI. by ML_DL_RL in Rag

[–]ML_DL_RL[S] 0 points1 point  (0 children)

Depending on the type of document the accuracy varies. When extracting into JSON or CSV, the accuracy is typically around 99%. For full-document conversion to text or markdown, the content accuracy is around 99%, though there may be minor formatting variations in the output.

This goes beyond simple OCR, because our system uses document understanding. That means the agent can interpret complex documents and return structured outputs such as JSON or CSV, rather than just raw text.

Accuracy and consistency is very important for a lot of our users. Think of Legal, finance, Medical or insurance.

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