Four real recordings

AlphaForge: four eras of a memory that compounds.

One company, followed at four real points in its life: Day 1, Month 12, Month 36, Month 60. Same kind of question, asked every time. Watch what changes in the answer.

These are four separate, independently recorded videos against the live product, not one continuous simulation and not staged mockups. Day 1 is a real signup, recorded live. Months 12, 36, and 60 run against real, seeded company tenants built to that exact point in a five-year history. Stark's chat panel stays open throughout as continuous narration for whatever is happening on screen, and every number below was checked against the real database after recording, not just what looked right on screen.

AlphaForge — Day 1

"What does it actually feel like to start from nothing?"

A brand-new company signs up for real, no seeded history. The founder tells Stark about the business in their own words, uploads a real price list, and watches Neo propose real Vault entries from it, live. Then they ask Stark a real business question and get an honestly thin, general-knowledge answer. That's not a flaw to hide. It's the honest baseline every later era gets measured against.

Day 1. This is what honest looks like before there's any real history yet.

0 clients. 0 Vault entries. 0 history. That absence is the entire point of this video.

AlphaForge — Month 12

"Does it actually get better, or is that just a sales line?"

Same kind of founder, one year in. Real inquiries have come and gone, some offers won, some lost. She asks Stark the same category of question she asked on Day 1, and this time the answer references a real client by name, a real pattern in what has been winning, a real number pulled from her own history, not general advice.

Month 12. Same question. Already a different answer.
24Clients
6Inquiries
6Offers
14Vault entries
28Notes logged

AlphaForge — Month 36

"What happens when it's not just me anymore?"

The company now has a team. A newly-invited manager logs in for the first time, and Stark correctly recognizes he isn't the founder: no setup wizard, just a real, grounded tour of what's actually happening right now. Then, because there's finally something worth debating, three AI Village perspectives, Sales, Research, and Operations, consult in sequence on a real decision, each building on the last. The exchange gets saved to the Vault for the owner to review.

New person. Same company memory. Nobody had to explain it to him. The system already knew.
10Clients
44Inquiries
48Offers
18Projects
132Vault entries

AlphaForge — Month 60

"Does this actually compound, or does it plateau?"

Five years of real, accumulated company history: 80 clients, real pipeline data, real Vault knowledge. The founder opens the company's original flagship client, adds a note, and asks Stark to draft a renewal offer based on their history together. A real four-agent pipeline drafts a genuine, grounded proposal from the real catalogue. From there the video moves into five-year Pipeline, Finance, and CRM reporting, and closes on a real client gone quiet and a genuine, grounded follow-up email.

Same AI. Same question. Five years of a real business in between. That's what compounding actually looks like.
80Clients
8Team members
32Vault entries
104Notes logged

A second kind of proof

We also ran a real month, for a different company, and checked the bill.

Separate from AlphaForge's story: Meridian Advisory, a real four-person team, real inquiries, real offers, every AI interaction a genuine call to a live model. The entire simulated month cost $0.16.

And when we asked the system's strategic review to look back at a busy-looking stretch, it didn't celebrate the activity:

"Six months in, the company is still only writing proposals… pipeline illusion: high volume of approved drafts creates a false progress signal while zero revenue materialises."

A tool that only ever tells you good news isn't intelligence.

Zoomed out further: the entire multi-month AI-layer testing program, across every simulation, every vertical, every controlled comparison.

~25simulated years covered
9,000+real Vault entries generated
11real bugs found, all fixed
$9.57total real API spend, whole program

The largest single run pushed one AlphaForge tenant through 3,140 real inquiries across five simulated years with zero hard failures, closing at 4,687 live Vault entries.

Worth being straight about: these are task-driven runs, scripted business activity, not open-ended daily chat. A team that talks to Stark constantly all day will spend more than this. We haven't stress-tested the unit economics at that kind of volume yet, and won't claim a number we haven't measured.

Tutorial clips

Every feature in 30 seconds or less.

Real app, real AlphaForge data. Click any card to play.

Sacred Spine · quick demos

Memory & co-pilot · deeper looks

Four real recordings, four real tenants, one compounding memory underneath all of them. This is what happens when a business lets its own history do some of the thinking.

Start your own arc →

Recorded on a live database and a live screen, but run by automated scripts standing in for a human's clicks and typing, not performed live. When Stark answers faster than the script expects, the screen can hold still for a beat before the next step starts. That's left in on purpose. The goal was never a polished demo reel, it was proof the feature actually works. Dejan's own verdict, after watching the raw footage: rough, but the best demo video we've made.