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My first client just gave her first paying client access to the bot I built her.
Here's the backstory.
A few months ago, a relationship strategist came to me with a problem that had nothing to do with her methodology. Her framework worked. Her clients transformed. Her content had reach.
What she didn't have was time.
She was fielding questions between sessions, manually vetting every lead, and trying to figure out which women were actually ready for her 1:1 program versus which ones needed more time before they could even receive her offer.
I built her a custom AI coaching system trained entirely on her framework, her voice, and her methodology. It coaches women 24/7 in her tone. It tracks their journey. And underneath, it silently qualifies every user into tiers based on their readiness for her different offerings.
She got access. She tested it. And her exact words were:
"It was way more detailed and humanized than I was expecting. It literally felt like it was my brain in bot form."
And then she said something that told me everything:
"I really feel like I'm not cheating my clients by not being there."
That's the bar. Not "cool chatbot." Not "this is a fun tool." The bar is: does the founder trust it enough to let it hold space for her clients when she's not in the room?
She does.
She just signed a new client into her full program and immediately gave her access to the bot as part of the experience. She's using it as a between-session support tool — so her client gets real-time coaching in her voice while she focuses on building the rest of her business.
She also told me something I want every entrepreneur to hear:
"Once you start getting the feedback, use that. Success leaves clues."
So here I am. Using it.
This is what I build at Dahlia in Bloom — custom AI systems for female entrepreneurs whose expertise scales but whose time doesn't. The bot coaches. The bot qualifies. The bot tracks. The founder sleeps.
Currently booking Client Experience System builds at founding pricing.
If your methodology is proven but your calendar is eating you alive — let's talk.
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My core stack is less "generate pretty pictures" and more "build the pipeline that does the thinking":
n8n — the glue. Great for orchestrating multi-step agent workflows and connecting APIs without writing a service from scratch. Weakness: gets messy fast on complex branching logic, and debugging a broken node chain eats time.
RAG (usually with a vector DB + LangChain-style retrieval) — lets me ground LLM output in actual client data instead of hallucinated generalities. Strength: dramatically improves accuracy for domain-specific asks. Weakness: chunking/retrieval quality is finicky, and a bad embedding setup silently tanks results without throwing an error.
Claude/GPT for reasoning + code — my default for anything needing judgment: analysis writeups, SQL/Python generation, proposal drafting. Strength: fast iteration. Weakness: still needs a human check on numbers — confident-sounding ≠ correct.
Power BI / Tableau — where the AI output actually becomes something a client trusts. AI can shortcut the analysis, but the dashboard is what gets signed off on.
The honest lesson: the "AI" part is maybe 30% of the workflow. The rest is validation, data plumbing, and making the output legible to a non-technical stakeholder.
Silent failures are what I watch closest. I treat an answer as untrusted unless I can show exactly which source text the model read, because fluent output can hide a bad match.
My topic:Livestream & VTuber
Hi, I saw online that IRL LiveStreaming is one of the hottest niches for some time now, but it is also the most dangerous one. I saw multiple videos of streamers being intimidated, provoked and even harassed.
This is not about streaming, its about humans feeling safe.
Today, in 8 full focused hours I put the pillars of the project PulseOS.
It gives updates to the creator about:
-Idle: basic state
-Notifications : ex: one new paid subscriber
-Ai-Summaries: ex: summary of the last 5 minutes of the live-chat energy
-Critical-Alert: ex: someone is following a creator, the chat is typing more than the usual flow of messages->activates triggering automation->creator sees what the chat is talking about
I projected this idea with 7 pillars, so here are the next 3, which I sacrificed for this demo, to be able to do the 4 pillars as intended.
The other 3 pillars:
-Stream health: ex: camera battery %, temperature of CPU
-Focus mode: ex: when streamer is serious, notifications are subtle almost non-existent for that time
-Achievement: ex: 1000 followers in the past month, 12 hours live in the past 3 days
I got around the paywall and prototyped a flux on notification with Make.com on HTML with POST Requests with the help of Ably.
Rive App Link:https://editor.rive.app/file/pulseos/2491853?linkId=2t4qGJlgK0GkdLA8qFPpDw
X link:https://x.com/ydgsgiwhs/status/2085972264185409606?s=20
future note, you can "share" a file on the rive freeplan by making a copy and putting it into the 'Shared Project',
then in the file using the invite button in the top right to get a link. I say a copy because once you put a file in a shared project you can't move it back to a...
