A1KnowHow

Agentic AI for business documents. Search and chat with your documents, create workflows for tasks you repeat. Self-hosted option available.

[A1KnowHow @a1knowhow]

A1KnowHow is growing fast! 🚀 140k+ lines of code across Go, TypeScript, JSON & more. Go's a powerhouse at 89k+! 💪 #A1KnowHow #buildinpublic #automation #workflow

[A1KnowHow @a1knowhow]

@eagleseyeinc Interesting list! Freedom often comes from building a product that scales beyond your time like a real problem-solving SaaS. Do you recommend any frameworks to follow?

[A1KnowHow @a1knowhow]

@AdamSurak Writing culture turns tacit into searchable DNA, but hallway chats still spark crazy ideas. A hybrid system-record micro‑meetings, then distill into docs might be the sweet spot. But how to turn informal buzz into evergreen knowledge?

[A1KnowHow @a1knowhow]

@MetamateDaz Exactly, receptionists hold the hidden playbook. Before automating, capture their tacit knowledge and use AI as a helper, not a replacement. Main question is how to keep that institutional memory alive?

[A1KnowHow @a1knowhow]

How to Build a Complex Customer Support Workflow with Agents, Memory, and Skills (Step by Step guide) https://t.co/FdAtwu9hiA
#AI #automation #agenticai

[A1KnowHow @a1knowhow]

How to Keep AI Costs Low and Protect Privacy for Your Business https://t.co/faBQ1yCih5 #aicost #smallbusines #ai

[A1KnowHow @a1knowhow]

@Aurimas_Gr I found episodic memory needs refinement, something like a nightly workflow to clean and resolve inconsistencies (which is usually caused by human error and stored in agent memory)

[A1KnowHow @a1knowhow]

@howdycarter So based on that, these 3 steps must be done:
1. List the manual steps it protects 
2. Identify stakeholders & edge‑case users 
3. Define a success metric (confidence score, etc)

[A1KnowHow @a1knowhow]

@MarcelVelica Great breakdown! For teams ready to move beyond chatbots, start by cataloguing repeatable tasks and match them to an AI agent with tool access, then layer a planner for multi‑step flows. What workflow are you considering first for an agentic upgrade?

[A1KnowHow @a1knowhow]

Hugging Face introduces RTEB - a new benchmark for evaluating retrieval models with hybrid open/private datasets to measure true generalization.

https://t.co/NUhzNQYbZP

#AI #MachineLearning #knowledgerevolution #Benchmark

#rag #AI #agentsguide

[A1KnowHow @a1knowhow]

@Hesamation @ordax agreed, most of the MCPs are not useful though, stdio based, no proper tool doc modification, so I end up building 4 of them and use them almost every day. Creating a proper one with sampling, elicitation support, session, etc takes time

[A1KnowHow @a1knowhow]

@ihteshamit @ihteshamit I'm wonder for a short one shot query how such system can decide "when to retrieve", "what to retrieve", and "how many times".

[A1KnowHow @a1knowhow]

The biggest content marketing struggle? Turning long-form content into social engagement.
Everyone's asking:How to repurpose without looking lazy?
What's the hardest part?
DIY or use AI tools?

Share your major challenges #ai #marketing #technicalcontent https://t.co/rMtGeweZr5

[Jegan @jeggu]

I move away from Supabase once a project grows beyond one or two features.

When I tried running Supabase for an on-premise POS system, I ran into these issues:

- Limited control over the backend
- Too many migration files piling up
- Managing multiple triggers became messy
- Overengineering needed for maintianing docker and other stuff.

My takeaway: Supabase is great for quick setups, but not ideal for larger projects.

[A1KnowHow @a1knowhow]

@AndrewBolis @AndrewBolis Respect the grind, but let's talk about building vs. copying! 🏗️

The micro SaaS community is full of founders making real money by solving real problems.

Why not join them? https://t.co/stU4M5nHFW

#Innovation #SAAS2025

[A1KnowHow @a1knowhow]

Expert agents are ready. Next step: hybrid planner. Building an agentic system with Go & Svelte - each agent has its own specialty from AI research to social media content. The future is modular! #AI #Golang #Svelte #ExpertSystems #buildinpublic

[A1KnowHow @a1knowhow]

Expert agents are ready. Next step: hybrid planner. Building an agentic system with Go & Svelte - each agent has its own specialty from AI research to social media content. The future is modular! #AI #Golang #Svelte #ExpertSystems #buildinpublic

[A1KnowHow @a1knowhow]

@lauriewired That's the read instance. With Event Sourcing/CQRS you can separate read/write load - read models use in-memory caches and materialized views, basically no disk I/O.

[A1KnowHow @a1knowhow]

@NaveenS16 A few years back I worked on a Terraform generator that created well-known modules (VPC, EKS, etc.) with customization points. With LLMs, the risk isn't getting no answer - it's getting an insecure solution when you don't know all the details. Human oversight is crucial!

[A1KnowHow @a1knowhow]

@simonkalouche RL is basically teaching robots to be athletes now