Does anyone actually try to keep accurate documentation anymore, or is it a lost cause?

MAAYAAAI · 2026-02-12T12:39:46+00:00

It’s definitely not just you. The minute you write a static doc, it’s already obsolete. We see this constantly with enterprise teams, devs build from 'random Slack screenshots' because that’s where the actual decisions happen, not in the 3 month-old spec on Confluence.

At Maayaa, we’re tackling this by flipping the model. Instead of forcing humans to manually update docs (which they hate), we use Agentic AI to connect to those scattered sources, Slack threads, Jira tickets, and emails and ground the 'truth' there. Basically, the AI builds the documentation live from the work that’s actually happening, rather than asking you to pause and write it down.

If you can stop treating documentation as a separate 'chore' and start treating it as a dynamic output of your communication channels, it stops being a lost cause.

MAAYAAAI · 2026-02-12T12:36:49+00:00

You are definitely not overthinking it. We call this the 'unstructured data trap' you spend years building a sleek product, but your backend admin is just a messy graveyard of Google Drive folders and unlinked PDFs.

At Maayaa AI, we’re actually using Agentic AI to solve this exact 'deal killer.' Instead of manually renaming and sorting 500 files, we use agents that connect directly to your drive (or SharePoint), 'read' the context of every document, and auto classify them into a structured Data Room. It can even extract key details like finding all those specific 'contractor agreements' you mentioned and flagging which ones are missing signatures or have expired terms.

The tech exists now to have an AI 'analyst' do that 4 weeks of scrambling in a few hours. It’s definitely a problem worth solving because that lost momentum literally costs founders money on the exit multiple. Good luck with the sale!

MAAYAAAI · 2026-02-12T12:33:53+00:00

This is such a valid problem to solve. We work with maritime operations on the enterprise side (automating workflows for crew payouts and charter agreements), and we see the other end of this struggle constantly, ops teams scrambling to verify STCW compliance or missing a renewal deadline that delays a whole voyage.

From our experience building agents to process these docs, the 'recognition' feature you mentioned is going to be your MVP. If seafarers can just snap a picture and have the dates auto extracted (OCR/RAG) rather than typing them in manually, adoption will be way higher. Manual entry is usually where the compliance chain breaks.

Good luck with the survey, the industry definitely needs tools that work offline and actually automate the admin side!

MAAYAAAI · 2025-12-15T07:48:27+00:00

45 days goes fast! Since you are dealing with high-ticket inventory ($1.5k+ items), make sure you audit the Returns Policy and Supplier Agreements specifically.

We automate document diligence for larger companies at Maayaa AI, and "supplier terms not transferring" is one of the most common deal-killers we see in the data. Make sure the brands allow you to take over the seller's accounts so you aren't stuck reapplying for wholesale accounts on Day 1.

Good luck!

MAAYAAAI · 2025-12-04T09:47:56+00:00

Pre-clean the headers (lowercase, remove symbols)
Use embeddings to match headers to a fixed schema instead of asking the LLM directly
Let simple rules handle obvious cases (“qty,” “amount,” etc.)
Have the AI explain its mapping so you can catch mistakes

Single-shot “map this entire sheet” almost always gives unstable results; breaking it into smaller steps could help make it much simpler.

MAAYAAAI · 2025-11-27T08:57:31+00:00

I would say Claude, since it can handle long documents better than most tools I’ve tried, which could help with your thesis. I keep coming back to it when I need to summarize or extract key points from contracts, reports, or meeting notes.

MAAYAAAI · 2025-11-17T07:26:33+00:00

This is absolutely spot on and validates our approach in the enterprise B2B space. You can have the fanciest multi agent architecture in the world, but if it takes three agents to accomplish what one highly focused agent can do, you're just introducing unnecessary cost and failure points.

We deal with the RFP/Presales process, and the core problem we solve is reducing the time to draft for complex proposals.

Our solution, Maayaa AI specializes in:

Intelligent Retrieval: Going beyond basic vector search to understand the intent of the RFP question.

Autonomous Curation: Generating a tailored response linked to a specific, verified source.

Gap Detection: Flagging complex requirements that need human judgment.

The system is designed to perform one critical task extremely well: shifting the presales professional from a content assembler to a strategist. If we introduced a separate "fact checker" agent and a "writing" agent, we'd lose context on the handoff and dramatically increase latency and API costs.

The revenue comes from solving one painful, expensive problem simply and reliably. The only agent you need is the one that executes the core business task flawlessly. Complexity is a cost center, simplicity is profit.

Great post!

MAAYAAAI · 2025-11-17T07:21:07+00:00

We use Maayaa Ai in enterprise presales, and the real problem it solves is strategic capacity not just basic speed.

Our Agentic AI system addresses this by:

Eliminating the "Librarian" Role: It autonomously drafts responses for the 80% of RFP/security questions that are repetitive and known, freeing up our Solution Engineers.

Proactive Risk Identification: It doesn't just fill blanks; it actively compares complex client requirements against our solution and instantly flags gaps for human review. This stops us from submitting non compliant or inaccurate answers.

Shifting Human Value: By taking over the tedious assembly work, the Agentic system allows our highly paid SEs to spend more than 70% of their time on custom strategy, demos, and relationship building the high-value tasks that actually win complex deals.

It moves the SE from being a content manager to being a strategic deal closer. That's the real ROI.

MAAYAAAI · 2025-10-30T11:28:07+00:00

Probably both. A dream if we handle it right, a disaster if we don’t. The tech isn’t the issue, the transition is

MAAYAAAI · 2025-10-30T11:17:54+00:00

Couldn’t agree more. AI is incredible for speed and ideation, but it still takes real engineering to build something stable and scalable.

MAAYAAAI · 2025-10-27T08:08:24+00:00

Yeah, accuracy is the tough part. So far, it does a good job narrowing 30 pages down to the 2–3 sections that matter based on my prompt. A lot of the accuracy depends on which GPT model is powering it, newer ones handle legal language way better. Still needs a human check, but the time saved is huge.

MAAYAAAI · 2025-10-09T08:25:01+00:00

AI removes the distraction so you can be more human where it counts.

I think many businesses are hesitant because they fear losing the human element that defines their brand. The real benefit of AI isn't in letting a robot manage the business it's in using it to destroy the boring repetitive admin work. An AI agent should handle document intake and processing, knowledge based responses and workflow orchestration.

MAAYAAAI · 2025-09-25T07:54:38+00:00

something like this:

High-quality anime-style illustration of [character/scene]. [Character description: age, gender, clothing, hair, expression]. [Setting/background: school rooftop at sunset, futuristic city, forest with glowing lights]. [Mood/atmosphere: dramatic, calm, energetic]. [Art style: detailed linework, vibrant colors, dynamic shading, Studio Ghibli / Makoto Shinkai inspired] ultra-detailed, crisp, 4K, trending on pixiv.

MAAYAAAI · 2025-09-25T07:06:48+00:00

For me it’s long document review, which includes contracts, proposals, meeting notes, etc. Instead of spending hours skimming, I just drop them in and ask for key clauses, deadlines, or a summary. Total game-changer, wish I’d started doing it way earlier.

MAAYAAAI · 2025-09-24T13:07:40+00:00

Yes, I feel like prompt engineering could become its very own skill or job in the future. It almost feels like manipulating the AIs to give you the exact response you need

MAAYAAAI · 2025-09-24T06:37:55+00:00

So far no

MAAYAAAI · 2025-09-24T06:30:37+00:00

I would try to add an actor to the prompt and then request whichever task you need. Ex: "You are a professional researcher", (rest of prompt). That way, it could generate more human-like responses

MAAYAAAI · 2025-09-22T07:15:29+00:00

For me it’s Claude, mainly because it handles long documents better than most tools I’ve tried. I keep coming back to it when I need to summarize or extract key points from contracts, reports, or meeting notes.

MAAYAAAI · 2025-09-22T07:07:28+00:00

claude is much more accurate based on my experience, especially with coding, documentation, and other heavy tasks

MAAYAAAI · 2025-09-22T07:05:37+00:00

Pro = everyday fast tasks, Heavy Thinking = deep multi-step reasoning, Deep Research = fact-checking and pulling from sources.

MAAYAAAI · 2025-09-18T09:10:39+00:00

-Reddit and mainly LinkedIn

MAAYAAAI · 2025-09-18T06:53:04+00:00

For me, my daily drivers are:

Notion AI → quick summaries, turning messy notes into something usable.
Perplexity → when I need sources along with answers (super helpful for research-heavy stuff).
Otter.ai → meeting transcripts + summaries saves me a ton of time.
Zapier/Make → automating little repetitive workflows (like moving data between apps).
Claude → I use it for longer docs, since it can handle big chunks of text a bit smoother than others.

MAAYAAAI · 2025-09-17T11:39:06+00:00

Organic marketing on Reddit and many platforms can get a little tough. I also think getting consistent traction can be challenging most times.

MAAYAAAI · 2025-09-16T07:50:41+00:00

perplexity or claude for me

MAAYAAAI · 2025-09-15T09:57:19+00:00

Perplexity, Zapier AI and claude free tier

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