@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?
@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?
@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?
@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)
@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)
@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?
@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
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
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.
@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
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
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
@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.
@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!