lrmorley

Larkland is an experienced Product Manager who has worked in the technology industry in the Silicon Valley area of California. He is a Fellow of CMI UK

[lrmorley @lrmorley]

Most product failures I've seen were sequencing failures. Confidence came before evidence.

My order: research, 20–30 calls in one segment, proof design, positioning, outreach, go/no-go gate.

Most $5M–$50M companies run it out of order. Not fatal, just expensive.

[lrmorley @lrmorley]

A misaligned quarter burns $250K–$400K+ in loaded team cost. That's the cheap part.

The expensive part is the pilot that stalls until your champion gives up.

Both start with a date chosen at quarter-end instead of derived from the work.

[lrmorley @lrmorley]

Stop selling software on hardware you don’t own. Every delayed AI launch hits the exact same wall:
You promise delivery in Q3.
Your cluster arrives in Q4.
Your evals blow up the schedule.

Your pilot cancels. If your roadmap ignores physical silicon, it’s not an engineering plan. It’s a guess.
Audit your real production readiness in 3 minutes:

[lrmorley @lrmorley]

Agentic AI made the platform team the UX team. Kubernetes didn't go away.

No GPU, warm sandbox, or clean identity in time and users call the model dumb. Often it's the cluster.

Name the on-call. TTFT + tool-success in the SLO. Managed runtimes move the bill, not the job.

[lrmorley @lrmorley]

Agent runtime is a margin call. AgentCore: $0.0895/vCPU-hr. DO Managed Agents (Sep 22): $0.044, and a 2 vCPU/4 GB session is ~$0.06/hr at 25% activity. Wait time is free. DIY still bills idle. Use the runtime comparison worksheet first.

[lrmorley @lrmorley]

The AI margin leak isn't just inference.
It's paying for agents to sit idle.

Waiting on tools. Waiting on users. Waiting on the next turn.

Design for scale-to-zero before you design for scale.
#AIInfrastructure #ProductLeadership

[lrmorley @lrmorley]

Most AI/ML infra founders don't have a roadmap problem.

They have a bottleneck problem, and the bottleneck is them.

Fewer bets tied to outcomes + a clear decision cadence = a team that ships without you.

What would you do with the time back?

[lrmorley @lrmorley]

Design partners can make or break AI/ML infra roadmaps. Don't let one big deal rewrite your strategy. Integrate, don't react. #ProductStrategy #AIInfra

[lrmorley @lrmorley]

Unrationalized AI/ML roadmaps don't just cost revenue.

They bleed credibility. They burn out your best engineers. They quietly kill trust with the board.

Predictable execution isn't a nice-to-have — it's the difference between scaling and stalling.

#AIML #StartupOps

[lrmorley @lrmorley]

@Gemini_Notebook Would be nice to share the main artifact and sub artifactis to users without login to Google. Especially sharing with business clients.

[lrmorley @lrmorley]

Quick question for AI/ML infra founders: can you name the exact person at your last stalled pilot account who's accountable for shipping it internally? If not — that's the leak. $1,500 diagnostic, one week, DM "DIAGNOSTIC."

[lrmorley @lrmorley]

Founder as single product decision point = AI/ML infra bottleneck. It kills velocity & revenue. Time to build systems, not just features.

#FounderLife #ProductManagement

[lrmorley @lrmorley]

At Google, delivery precision wasn't a nice-to-have — it was the revenue lever. Most AI/ML startups are scaling on hope, not a measured baseline. What's yours? #GoogleCloud #StartupGrowth

[lrmorley @lrmorley]

AI/ML infra dates missed? It's often hardware lead times & unscoped evals, not just software. Founders, factor the real world into your roadmap. #AIInfrastructure #Startup

[lrmorley @lrmorley]

Most AI/ML infra founders manage two backlogs: what engineering ships, and what actually survives contact with a customer's prod environment.

Only one of those determines your revenue.

If "pilot" and "production" aren't separate line items on your roadmap, you don't have a roadmap — you have a wishlist.

[lrmorley @lrmorley]

My roadmap differentiator: Measured delivery baseline, not opinion. This data-driven approach earned a Google Technology Impact Award. Essential for #AIML infra founders seeking predictability. #Proof #Google #ProductDelivery

[lrmorley @lrmorley]

AI/ML infra founders: Stop spiraling costs. Your hardware lead times & utilization are huge cost drivers. Plan for probabilistic reality, not just software assumptions, to optimize spend. #AIML #CostManagement #Infrastructure

[lrmorley @lrmorley]

AI/ML infra founders: Predictable roadmaps = faster monetization. Delays aren't just tech problems; they're revenue killers. Deliver what you commit, convert pilots to production, and watch your revenue ramp. #AIML #Monetization #Predictability

[lrmorley @lrmorley]

AI/ML infra founders: Roadmap issues? It's a COMMITMENT problem. Dates set on software assumptions are gated by hardware reality & design partners. My $1,500 diagnostic identifies & fixes this. Get your assestment - https://t.co/KUxAgIwYtd #AIML #Roadmap #Consulting

[lrmorley @lrmorley]

AI/ML infra founders: Being the single product decision point is a trap. It bottlenecks delivery & makes your roadmap fragile. Distribute decision-making to scale. Check your Pilot to Production readiness - https://t.co/KUxAgIwqDF
#FounderLife #AIML #Productivity