---
type: linkedin_post_personal
created: 2026-03-14 10:00:00
status: draft
pillar: AI Automation
characters: 921
week: 2026-W11
---

The AI agent ecosystem is maturing faster than most founders realise.

Last week, developers in the OpenAI Agents SDK community pushed a fix for a production-level bug â€” agents weren't correctly handling context after handoffs between sub-agents.

That's not a toy problem. That's real infrastructure being debugged and hardened in public.

Here's what that means for you:

The tools to build your own AI employee â€” one that reads emails, drafts replies, manages approvals, and logs every action â€” already exist. They're being improved daily by an active community.

The gap isn't the technology. It's knowing how to wire it together.

I've spent months building exactly this for my own business: a system that monitors Gmail, processes WhatsApp messages, drafts LinkedIn posts, and creates an audit trail for every action. Human in the loop. No auto-sending. Just 10+ hours saved per week.

Founders who start building on this now will have a 12-month head start on everyone who's still waiting for it to be "ready."

It's ready.

Drop a comment: what's the one repetitive task you'd automate first?

#AIAutomation #FounderProductivity #AIAgents

---

## Approval Checklist
- [ ] Hook grabs attention in the first line
- [ ] Teaches something useful (value-first)
- [ ] CTA is clear and not salesy
- [ ] Under 1300 characters (921/1300)
- [ ] Not a repeat topic from last post
- [ ] Approved to post on personal profile

## To Post
1. Move this file to `silver_tier/Approved/`
2. Run: `python linkedin_personal_mcp.py --post LI_PERSONAL_20260314_1000_ai_agent_ecosystem_founders.md`
3. Review in browser, then click 'Post'
