Matthew Turley | Fractional CTO

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Matthew Turley | Fractional CTO

Matthew Turley | Fractional CTO

@matthewrturley

Fractional CTO. I build MVPs and unbreak AI-built apps for SaaS founders. American in Paris, 3 kids. Need your backlog shipped?

Katılım Ekim 2009
1.1K Takip Edilen592 Takipçiler
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Matthew Turley | Fractional CTO
Found a 19x sales lever hiding in a client’s CRM. Most SMBs don’t need “AI strategy” first. They need someone to look at their actual sales data. I analyzed ~4,000 leads for a specialty home improvement company and found: - leads with measurements closed 100x better - leads with photos closed 5.5x better - template-only follow-up: 1.08% close rate - template + personal reply: 20.29% close rate That last one is the money. The automation was working. The human follow-up system wasn’t. AI is most useful when it finds the boring operational leaks costing real revenue.
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Matthew Turley | Fractional CTO
My work has basically evolved like this: → HTML/CSS (~2004) → static websites → PHP websites → WordPress themes → WordPress plugins → WordPress-powered applications → custom web apps → SaaS products → AI-assisted SaaS development → AI-native products → agentic workflows → AI agent orchestration layers → agent harnesses → autonomous build systems (today) Looking back, the progression was never really about the technologies. Each one was just a new abstraction layer. HTML and CSS taught me structure. PHP taught me logic. WordPress taught me leverage. Plugins taught me extensibility. Platforms taught me systems thinking. SaaS taught me product thinking. AI-assisted development taught me speed. Agent orchestration is teaching me coordination. The work keeps moving upward. From pixels, to pages, to workflows, to products, to systems, to systems that can create other systems. The deeper pattern is that I keep building closer and closer to the bottleneck. And right now, the bottleneck is no longer whether I can build the thing. It’s whether I can design, direct, verify, and control the machinery that builds it.
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Minh-Phuc Tran
Minh-Phuc Tran@phuctm97·
❌ Complete a task ❌ Build an app to complete the task ❌ Prompt an agent to build the app to complete the task ✅ Build an agent harness to create the agent to build the app to complete the task
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Matthew Turley | Fractional CTO
@stevelauda_ You sure do, I should have checked. Fingers got ahead of my brain. Sounds like you are doing it right. Much better than throwing juniors into the mix expecting them to just figure it out (I worked at an agency like this before).
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Steve Lauda
Steve Lauda@stevelauda_·
@matthewrturley I have a team hehe and I've done my best to create a leveling up system to make sure everyone to be on the same level
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Steve Lauda
Steve Lauda@stevelauda_·
It's crazy to see a website build being charged above 5k USD by a well-known so-called "creative agency" but the quality looks like being done by a junior designer who are just getting started to freelancing.
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Matthew Turley | Fractional CTO
Can’t believe I waited this long. Finally made an iOS app to replace Telegram chat with my agents. Full control over the UI, cleaner context switching, better notifications, and a workflow that actually matches how I use them every day. Telegram was fine for proving the loop worked. But once agents become part of your daily operating system, the interface really matters.
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Matthew Turley | Fractional CTO
@stevelauda_ Yeah, agree with you here. But you're solo right (I am)? I've usually seen this happen when they try to scale. Quality starts to slip as they are focused on other dynamics/metrics.
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Steve Lauda
Steve Lauda@stevelauda_·
@matthewrturley for me, I always put myself in the shoes of my client. And also, I will never make something that I am not confident to put as my portfolio. But well, everyone have a different standard.
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Jay Yang
Jay Yang@Jayyanginspires·
What are your favorite use cases for open claw?
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Matthew Turley | Fractional CTO retweetledi
Matthew Turley | Fractional CTO
Matthew Turley | Fractional CTO@matthewrturley·
Every non-technical founder I talk to is excited to use AI. They make plans, projections, maybe some internal tools and automations, or prototypes for new features. Low risk things where nothing breaks if something goes wrong. Then I ask if they’ve added any new features to their production site with AI. Long pause. No. They are either not technical enough to do it, or technical enough to know that they don’t know enough to trust it. Three founders this month. Same answer. AI makes things easy when nothing is at stake. AI on a live codebase with real revenue is a different job entirely. This is the gap I fill. Agents write the code, I review it before anything touches production. Fine-tune or rework if needed. I pick up when they call on Friday night.
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Paul Mit
Paul Mit@pmitu·
I designed @claudeai t-shirt for myself, what do you think?
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Matthew Turley | Fractional CTO
Not going to get bit by this again. I'm building Trellis, an agent fleet runtime to replace the Claude Code + openclaw setup I've been running. Provider-agnostic, owns its own state, graduates me off vendor-specific CLIs. All running through RelayPlane to optimize token use. Wish me luck.
ClaudeDevs@ClaudeDevs

Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK

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Matthew Turley | Fractional CTO retweetledi
Matthew Turley | Fractional CTO
Matthew Turley | Fractional CTO@matthewrturley·
Anthropic just put a $200/month meter on programmatic Claude. Sam Altman dropped 2 months free Codex in the same hour. I'm not picking sides. I'm routing between them. Cheap models for the boring 70% of agent work, Claude or Codex for what matters.
Matthew Turley | Fractional CTO tweet media
ClaudeDevs@ClaudeDevs

Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK

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Matthew Turley | Fractional CTO
@aroido_bigcat Yeah, that's the thing I'm most worried about. Approval rules version like code. Every decision row pins the rule hash + inputs + outcome, so "why did this auto-merge" returns the YAML that actually fired, not whatever's current. Rule edits don't rewrite history.
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bigcat | Aroido
bigcat | Aroido@aroido_bigcat·
@matthewrturley That split makes sense. The decisions themselves are the part I’d want most inspectable. Plans drift, but an invisible approval rule is where the scary bugs hide.
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Matthew Turley | Fractional CTO
All three, plus the decisions themselves. Workers are stateless on purpose. State lives in the director's SQLite: task plan, approvals, run history, decisions, fleet topology. Authority is per-decision-type YAML. Strict gates at first, then trust-based auto-promotion once a decision type proves itself.
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bigcat | Aroido
bigcat | Aroido@aroido_bigcat·
@matthewrturley Owning state is the boring part until a vendor CLI changes under you. I’d be curious what you keep outside the workers: task plan, approvals, run history, or all three?
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Fed 🐻
Fed 🐻@foliofed·
Realizing prompt engineering isn't that important for controlling AI costs Pipeline architecture is: - cheaper models for low-stakes tasks - smaller inputs - smarter sync cadence the prompt is the last thing to optimize
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Matthew Turley | Fractional CTO
@hnshah The shipping-fast part is easy now. The learning from it is where I've been focusing recently. Trying to find the right balance. Somewhere between complete bottleneck and "no idea what's going on".
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