AI move-finder
AI Opportunity Explorer
Finds the three highest-leverage places AI could work inside a specific program - mapped to the actual delivery model, not generic best practices.
The Lab · Filip Sardi
Where I build AI tools for
client delivery - in public.
Most of what's being built with AI is content automation. The Lab goes the other direction - toward the layer underneath: the context, the signals, the momentum between calls.
Recently shipped + in build
Tools shipped from the Lab.
Currently running for my clients and inside my own operations - plus what's being built right now. New tools ship most weeks - follow the build on Substack →.
Inside the platform
FlowOS - human-led, AI-supported delivery platform
A full-blown retention operating system, built from scratch. Every Lab tool wired together so AI holds the context and the momentum - you show up for the conversations only you can have.
Explore the platform - lab.filipsardi.com →
Pre-call context
BusinessDNA + FlowMapper
BusinessDNA profiles the business; FlowMapper traces the client journey through it. Offer, audience, stack, blind spots - all context-built so the strategy starts from minute one instead of minute sixty.
AI strategist
Flowie
Trained on the client's BusinessDNA and 90-day strategy. Holds the thread between sessions, remembers every conversation, available at 2AM when I'm not.
Momentum tracking
Client Flow Pulse
A 90-second weekly conversation that tracks momentum over time. Surfaces drift as a signal before it shows up as a cancellation.
Knowledge extraction
GoldDigger
Extracts gold from call recordings and structures the patterns and decisions you've made with clients into a virtual brain that's always accessible.
Momentum Block fix
First Win Designer
Helps you design your program's first 96 hours so your clients hit a real win before they start drifting. Walks you through the email, the call, the trigger - built around your specific delivery, not generic best practices.
Upgrade Block fix
Continuity Bridge
Helps you design what comes after your program ends - a subscription, retainer, or alumni tier - plus the transition message that gives your clients a clear next step before they walk away.
What the Lab is
A return to building - in public, on my own terms.
I've always been a builder. Websites first, then funnels and automations, and now finally custom apps. What was once an expensive dream - building my own SaaS - I now get to enjoy building new tools most weeks.
I always wanted to understand what really happened on a client journey, but it was too complex to build. AI turned that around. So I went the other direction from where most builders are going: toward the context, the signals, the momentum between calls.
The Lab isn't a product company or an agency. It's my R&D - the place where the tools that run for clients start as half-broken sprints in public.
How it started
From a 72-hour hackathon to a real platform.
01
72-hour hackathon
The first sprint, in public.
Three AI tools, built start to finish in 72 hours, documented hour by hour on Substack. Half-broken ideas survived contact with real clients. The other half taught me what to never build.
02
Mini apps for daily challenges
Building for the daily problems.
Then SignalFlow, FlowOne, BuildFlow sessions. Each one solving an operational gap I was hitting that week. Not strategy, not vision - friction that needed a tool.
03
The white whale
A real platform for human-led, AI-supported delivery.
Then the big one. The platform I always wanted to build but couldn't before AI made it possible. The day people moved through it for the first time, I sat down and cried.
04
In public, every week
New tools ship most weeks.
The Lab is where the building keeps happening - in the open, on Substack, with the messy parts visible. Tools graduate into the platform when they survive. Some don't. That's the point.
The bet
Two directions. One very
different layer.
Most AI tools being built today
- Content automationMore posts, more captions, more agents replacing things humans were doing fine.
- Workflow automationZapier-style pipes for repetitive ops. Useful, but not where retention dies.
- AI personas / chatbotsReplace the founder with a bot. Speeds up answers, kills the relationship that holds the program together.
- Course/cohort toolingBetter learning UX. Doesn't address what happens between the modules.
- CRM with "AI features"Tracks the contact. Misses the transformation.
All useful. None of it catches what's actually breaking in client delivery.
What the Lab builds instead
- Catches what would otherwise dropDrift, silence, momentum loss - flagged as signal before it shows up as a cancellation.
- Holds the context for youBusinessDNA + Flowie remember everything so the founder shows up with the full picture, not the recap.
- Lives between the callsThe 80% that repeats happens inside the platform. The 20% that needs a real read happens with the founder.
- Tracks the human, not the activityPulse measures whether the client is in flow - not how many videos they watched.
- Built FROM real client problemsEvery tool started as a recurring conversation with coaches. The conversation became the tool.
The 80% that repeats. Held by software so the founder lands on the 20% that matters.
Where the survivors live
AI holds the context. I show up for the work only I can do.
FlowOS is my client delivery system. The 80% that repeats happens inside the platform. The 20% that requires a real read happens between the platform and me.
It runs for my clients. It's open for anyone who wants to see what human-led, AI-supported delivery looks like in practice.
Build at scale
If you're building at scale.
Some readers run programs, platforms, or businesses where this kind of delivery infrastructure could sit underneath their whole operation. If that's you, start with the platform - it'll show you what's possible. We'll talk specifics if there's a fit.
Get the letters where the Lab gets documented
One letter per week. Most of the tools on this page were named in public, week by week, before they shipped. Subscribe and you're inside the build.