Agent Lab Impact Report: More Than 300 People Taught to Build AI Agents in Three Months
Three months of live sessions produced working AI agents, repeat attendance, and a 100% commitment to teach someone else.
BNEDai's Agent Lab taught more than 300 people to build working AI agents across 29 live sessions between June 29 and September 30, 2026, from 344 registrations. [1][2] Of those surveyed after their sessions through August 14, 90.5% reported moderate or extreme confidence to build their next AI agent independently, and 100% committed to teaching one other person what they learned. [3][4] The program launched June 29, 2026 with a session run by calendar invite on Google Meet, moved to Luma in mid-July, and took the build in person to the Sistas in Sales Summit in New York on September 21.
This page walks through the data: what happened, who was in the room, what they built, and what the numbers do and do not tell you.
How many people registered and how many were taught?
344 registrations came through three channels: Luma event listings (265), and the bnedai.com landing page plus calendar invitations for the two sessions run before Luma, June 29 on Google Meet and July 9 on Zoom (79). [1] Some people registered more than once, so registrations are not de-duplicated.
More than 300 people have been taught to build an AI agent, per the instructor's session records. [2] That count includes the 32 people who built together at the Sistas in Sales Summit, an in-person session that ran outside Luma, and the people invited directly to the first two sessions. Registration is intent. Being taught is output. The two numbers measure different things.
Zoom records add a behavioral check for the Luma sessions held on Zoom: across 120 attendances from July 14 to September 29, the median participant stayed 61 minutes of a one-hour session, and 85% stayed at least 50 minutes. [6]
Separately, 224 or more Gumloop accounts were created through BNEDai's ambassador referral link as of August 15, 2026. [5] That number tracks platform sign-ups. It is distinct from registrations (some account holders never registered for a session) and distinct from people taught (an account creation is not a completed AI agent).
39 people registered for two or more sessions. [6]
Who was in the room?
Registrants on the July roster were roughly 95% women. [7] Registrants included senior managers, PhDs, EdDs, MBAs, MPAs, PMPs, and clinical leaders. Their employers spanned Fortune 500 companies, global energy firms, financial services, travel and hospitality, education, and municipal government. [7] Participants joined from multiple U.S. states and internationally from London and Salvador, Brazil. [7]
These profiles are generalized here. The full employer list and named participants appear on the Impact Report page only, per standing disclosure policy.
What did they build?
The most common first build was a Meeting Prep AI agent, which reads a calendar, pulls context on attendees, and produces a briefing document before the meeting starts. [8]
Other builds included:
- Scout AI agents for job search and executive search applications [8] - Multi-company meeting prep AI agents, where one participant who hosts across several companies built separate AI agents per company [8] - A Job Search Manager with Scout, Matcher, and Ghostwriter sub-agents working together [8]
Every build ran on the Gumloop no-code platform. Gumloop offers a 14-day trial, then paid plans. [9] The builds followed a single safety rule taught in every session: draft, never send. [10] AI agents prepare output for human review. They do not act on their own.
Jacqueline V. Twillie's teaching frame for the relationship between builder and AI agent: "Agents are your employees, you are the manager." [10]
What did the session data show?
June 29, the first session (Google Meet, by calendar invite): 24 invited, 15 built live. [11]
July 9 (Zoom, by calendar invite): 55 invited, including every registration from the bnedai.com landing page. Participants joined from London, New York, Salvador (Brazil), and Georgia, and each built a meeting preparation AI agent from scratch. [12]
Luma sessions on Zoom, July 14 to September 29: 120 attendances, median stay 61 minutes of a one-hour session, 85% staying at least 50 minutes. [6]
September 21, Sistas in Sales Summit (in person, New York): 32 people built a negotiation prep AI agent in one hour. [2]
A Threads recap of the first session, posted June 30, reached 15,200 views and 344 replies. [13]
What did participants say?
### Survey data (21 respondents, Google Forms, through August 14)
90.5% of surveyed participants reported moderate or extreme confidence to build their next AI agent independently. [3] Instruction clarity rated 4.95 out of 5. [14] 100% of surveyed participants committed to teaching one other person what they learned. [4]
These survey results come from 21 Google Forms respondents, collected through August 14, 2026. That is the sample, not the full participant population. The 90.5% confidence figure describes those 21 people, not everyone taught. No extrapolation to the full group is claimed.
### Luma feedback ratings
18 of 20 participant ratings in Luma's built-in feedback through September 29 were five stars; the other two were four stars. [15]
Named reviews from Luma:
- Kristine Frost, 5 out of 5: "Wow...what a powerful session!" [15] - Alexandria Sarmiento, 5 out of 5: "working every day to make my life easier" [15] - Susan Quinn, 5 out of 5, August 10: "Super great and not as scary as I thought it was going to be" [15]
What barriers did participants encounter?
Three barriers surfaced in the first months of sessions:
- 01
Managed-device restrictions.
One company in the Atlanta metro area had corporate device policies that blocked the Gumloop platform entirely. The participant could not access the build environment from her work machine. [16]
- 02
Credit and billing questions.
Some participants had questions about Gumloop's billing model and how credits work on the platform. [16]
- 03
Trial expiration concerns.
Participants who started on the 14-day trial asked about what happens when it ends and whether their AI agents would stop running. [16]
These barriers point to the friction that sits between a live build and a sustained practice. The AI agent works. The question is whether the workplace lets the AI agent keep working.
What does this report not cover?
This report covers outputs and participant feedback from the first three months. It does not measure:
- Whether AI agents are still running weeks or months after the session - Revenue impact or productivity gains from the AI agents built - Long-term retention of the skills taught - How many of the 100% who committed to teach someone followed through
Those are different questions requiring different instruments. If and when that data exists, it will get its own evidence page. For a closer look at how the 90.5% confidence figure was measured, including the survey instrument and response distribution, see 90.5% Build Confidence: What We Measured and How. The first seven weeks were announced in the Impact Report No. 1 press release; the Impact Report page carries the current figures.
If you want to understand what an AI agent is before reading the build data, start there. If you want to build one yourself, the step-by-step build guide walks through a single session. For the operating rules taught alongside every build, see AI agent operating rules. To register for a live session, visit the Agent Lab.
Methodology
BNEDai Agent Lab ran 29 live sessions between June 29 and September 30, 2026: two by calendar invite before Luma (June 29 on Google Meet, July 9 on Zoom), 26 listed on Luma (most on Zoom, three on Google Meet, one in person), and one in person at the Sistas in Sales Summit. Registrations were tracked through calendar invitations, the bnedai.com landing page, and Luma. The people-taught count comes from the instructor's session records. Attendance and time stayed come from Zoom participant records matched to Luma registrations; Google Meet and in-person sessions have no attendance instrument.
Post-session surveys were administered through Google Forms. 21 participants completed the survey through August 14, 2026. Questions covered build confidence (rated on a scale from no confidence to extreme confidence), instruction clarity (rated on a 1-to-5 scale), and commitment to teach another person. Luma's built-in feedback system captured 20 participant ratings through September 29, the host's own rating excluded.
The 344 registration figure combines all intake channels and is not de-duplicated. The 224+ Gumloop referral account figure comes from BNEDai's ambassador dashboard on the Gumloop platform, read August 15, 2026, and measures account creation, not session attendance or AI agent completion.
No third-party audit was conducted. All data is self-reported by BNEDai and its participants.
Source citation table
| # | Claim | Source | Date | Link | |---|---|---|---|---| | 1 | 344 registrations (265 Luma, 79 landing page and calendar invites) | Luma + bnedai.com landing page + calendar invitations | June 29 to Sept 30, 2026 | Impact Report | | 2 | More than 300 people taught to build AI agents, including 32 at the Sistas in Sales Summit | Instructor's session records | Sept 2026 | Impact Report | | 3 | 90.5% reported moderate or extreme confidence to build independently | Google Forms survey, 21 respondents | Through Aug 14, 2026 | Impact Report | | 4 | 100% committed to teaching one other person | Google Forms survey, 21 respondents | Through Aug 14, 2026 | Impact Report | | 5 | 224+ Gumloop referral account creations | Ambassador dashboard | Aug 15, 2026 | Impact Report | | 6 | 120 Zoom attendances, median 61 minutes, 85% at least 50 minutes; 39 people registered for 2+ sessions | Luma registrations and Zoom participant records | July 14 to Sept 29, 2026 | Impact Report | | 7 | ~95% women (July roster); senior managers, PhDs, EdDs, MBAs, MPAs, PMPs, clinical leaders; Fortune 500, global energy, financial services, travel/hospitality, education, municipal government; multiple US states + London + Salvador Brazil | Registration records and session records | June to Sept 2026 | Impact Report | | 8 | Builds: Meeting Prep AI agents, Scout AI agents, multi-company meeting prep, Job Search Manager with sub-agents | Instructor's session records | June to Sept 2026 | Impact Report | | 9 | Gumloop: 14-day trial then paid plans | Gumloop platform terms | Current | Gumloop | | 10 | "Draft, never send" safety rule; "Agents are your employees, you are the manager" | Session transcripts | June to Sept 2026 | Impact Report | | 11 | June 29: 24 invited, 15 built live | Session records | June 29, 2026 | Impact Report | | 12 | July 9: 55 invited; London, New York, Salvador (Brazil), Georgia; meeting preparation AI agent | Calendar invitation and session report | July 9, 2026 | Impact Report | | 13 | Threads recap: 15,200 views, 344 replies | Threads post analytics | June 30, 2026 | Impact Report | | 14 | 4.95/5 instruction clarity rating | Google Forms survey, 21 respondents | Through Aug 14, 2026 | Impact Report | | 15 | Luma feedback: 18 of 20 participant ratings five-star; named reviews from Frost, Sarmiento, Quinn | Luma built-in feedback | July 14 to Sept 29, 2026 | Impact Report | | 16 | Barriers: managed-device restrictions (Atlanta metro), credit/billing questions, trial expiration concerns | Session records and participant questions | June to Sept 2026 | Impact Report |
Frequently asked questions
Build something that actually runs your workflow.
A focused, free 60-minute live session with Jacqueline. You build alongside her, on your own real task, and leave with an AI agent that is already running.