Product and Business Development Strategist with over 10 years of experience in software solutions. Proven expertise in strategic planning, product development
Meta just gave every SMB an AI agent for WhatsApp, Instagram & Messenger. Free. Live in minutes.
The agent is the easy part.
Map your intake, escalation, and recovery flows before you turn it on.
That's the work. → https://t.co/MjmhzDW0s1
Better model ≠ better outcome.
Effort levels without governance = unpredictable costs. Honesty + no review loop = false confidence.
Better tool-calling + bad SOP = faster chaos. Business systems first. AI second. Trust always.
Anthropic launched Claude Opus 4.8.
Everyone's focused on benchmarks.
I'm focused on what this means for AI system design.
A thread for operators and builders 🧵
New: Effort Levels (Low → Ultra Code).
You now control how deep the model thinks.
This is not just a UX feature. It's a system design decision.
Who in your workflow decides when to run Max vs Low? That needs a rule. Not a vibe.
Ultra Code = Max effort + Dynamic Workflows.
For large-scale agentic tasks, the model auto-orchestrates complex work.
This is where the operator role becomes real. You design the system. The model executes at depth.
Previous version: criticized for being rigid, overly cautious, stubborn.
4.8 shifts to "warmer and more collaborative."
This is a behavior change, not just a capability change. Still needs testing in your specific workflow.
Honesty improvement: misaligned behavior dropped ~50% vs Opus 4.7.
Translation: the model is less likely to say "done" when it's not.
For agentic workflows, this matters more than any SWE-bench score.
Grab gave their AI agents 30+ tools.
Reliability dropped.
They cut it to a small curated set.
Reliability recovered.
More tools does not mean smarter agents. It means harder decisions at every step.
Find in the comment below!
#AgenticAI#MultiAgent#AIEngineering
Wrote the full breakdown with the audit template, tool stack, and workflow architecture.
Full playbook here: https://t.co/yRvhmH5LTS
If you build lean service businesses, this one is for you.
Most service business founders are losing 20-30% of revenue every year.
Not to bad clients. Not to bad pricing.
To the gaps between their own tools and processes.
A thread on how to find it, name it, and fix it.
#AgenticAI#Automation#ServiceBusiness#Founders#BusinessSystems
3 moves to start this week:
1. Map one complete client journey and find the 3 manual re-entry points
2. Pick one platform as your single source of truth and commit
3. Automate the one most painful handoff first
One working automation teaches you more than ten planned ones.
The window for cheap frontier-level AI access is not permanent.
Build cost awareness into your architecture now.
Don't design systems that assume today's pricing is a floor.
It isn't.
Microsoft just cancelled its internal Claude Code
licenses.
The company that put $13B into OpenAI and hosts Anthropic on Azure looked at the invoice and said "back to Copilot CLI."
Deadline: June 30.
The VC-subsidized AI era is closing. 🧵
#AI#ClaudeCode#AIStrategy#TechNews
The only escape: self-host a sub-30B model locally.
Near-zero cost. But frontier models outperform local alternatives by 10–50x on complex tasks.
Context length alone will push consumer hardware to its limits.
There's no free lunch.