Seeing a pattern in 2026:
AI can generate a full codebase fast.
But many startups don’t need full architecture yet.
Worked on a system where AI added lots of structure…
and iteration actually slowed down.
Not a tool issue.
A stage issue.
2) What an AI workflow looks like replacing it (30-second automation, not a 6-month dev project)
3) Why most SMBs haven't done it yet: they think they need a tech team
I walk through this in a free 20-min call
#AIAutomation#SMBGrowth#OperationsEfficiency#WorkflowAutomation
Your ops team is drowning in copy-paste work that a 20$/month AI workflow would eliminate. Here's what I keep seeing in SMB back-offices.
1) The task (invoice follow-ups / lead routing / report generation) your team does manually 3x/day
Build wrappers around a PROBLEM, not a model. Treat every model as rented. Keep an open-weight fallback.
I break down AI news through a founder/operator lens every week. Follow @ for the next one. 👇
#AI#Founders
Apple conceded the frontier and partnered with Google to power Siri.
The richest company on earth decided defensibility isn't in the model.
Read that as permission to stop competing where the giants are burning billions.
The meta-pattern I'm seeing this week:
The model layer is consolidating, politicizing, and commoditizing — all at once.
Defensibility is moving UP the stack: workflow, proprietary data, integrations, trust. The stuff nobody can suspend or open-source away.
Anthropic launched Claude Fable 5 (1M context, always-on reasoning).
Then a US export-control order forced it offline within a WEEK.
Frontier models are now geopolitical assets. Your vendor can be switched off by a regulator, not a roadmap.
Apple has ~$160B in cash and still couldn't build its own frontier AI.
This week it shipped the new Siri powered by Google's Gemini.
If Apple chose "partner over build" at the model layer — maybe your startup shouldn't be fighting there either. 🧵 #AI#StartupIndia
Meta is reportedly abandoning open-source Llama for a closed program (Muse Spark / Avocado).
The single biggest patron of open weights is pulling back.
If your moat quietly depends on free open models staying free — that's not a moat. It's a subsidy that can end.
1/ The IPO dam broke.
Anthropic filed last week. OpenAI filed confidentially Monday ($852B valuation). Hugging Face listed on NASDAQ at $15B and raised $2.1B.
Public markets are about to force AI companies to show real margins. Token prices will reflect that.
Apple just paid Google to be Siri's brain.
The most valuable consumer company on earth decided NOT to own the model layer.
If Apple won't train its own frontier model, why are you still debating which one to marry?
This week in AI 🧵 #AI#AINews
I break down AI news through a founder/operator lens every week — what to build, what to ignore.
Follow @TechySelvaraj for the next one. RT tweet 1 if this saved you 10 hours of reading. #AI#BuildInPublic
(b) the real blocker isn't tech, it's nobody mapping AI to their workflow;
(c) one 30-min process audit usually finds 2–3 automatable hours/day
Comment 'audit' and I'll send my 10-point SMB automation checklist.
#SMB#AIAutomation#SmallBusiness
82% of tiny businesses still think AI 'doesn't apply to them.' Their competitors using it are cutting ops costs 35%. That gap is the whole game.
(a) growing SMBs adopt AI at 83% vs 55% for declining ones — adoption now predicts survival