Hyperagent: A Sponsored Demonstration of a Multi-Agent Workflow

Matthew Berman shows a cloud-based workflow that turns a property listing into a real-estate video.

MBMatthew BermanPonente · Forward Future
Canal
Matthew Berman
Publicado
10 sept 2026
Vídeo
1:04
Lectura
1 min
Diapositivas
1
Original
inglés
Abrir en YouTube
Al desplazarte, el vídeo se reduce a la esquina inferior derecha y sigue reproduciéndose. Los subtítulos siguen tu idioma de lectura.
Idioma de lecturaDisponible en 2 idiomas
Este artículo aún no está en español, así que se muestra el original en inglés.
RESUMEN

En 30 segundos

In this September 2026 short sponsored by Hyperagent, Matthew Berman describes the product’s specialist-agent approach and shows a real-estate video workflow. He says the task took about 30 minutes; the clip does not independently measure the output’s quality or reliability. The Airtable acquisition he references had closed before the video, with the Hyperagent business excluded from the deal.

  1. 1Airtable and HyperagentBerman links the product to Airtable’s history; the Hyperagent business was excluded from the completed Bending Spoons acquisition.
  2. 2Teams of agentsThe sponsored presentation describes coordinating specialist agents in a cloud-based workflow.
  3. 3A property-video exampleBerman shows a listing link used to gather property information and images, and says the process took about 30 minutes.

Conclusiones

  1. Hyperagent sponsored the video and is presented as a cloud-based product for coordinating teams of specialized AI agents.
  2. Berman shows a workflow starting with a property-listing link and says it gathers images and information for a video.
  3. The claimed 30-minute result is a single sponsored demonstration, not a controlled assessment of cost, accuracy or reliability.
  4. Bending Spoons completed its Airtable acquisition on September 4, 2026; the transaction excluded the Hyperagent business.
TEXTO COMPLETO

Lee el texto editado por capítulos

Solo la transcripción
01

Airtable and Hyperagent

Berman introduces Hyperagent in the context of the Airtable deal. The video is sponsored by Hyperagent.

In this short sponsored by Hyperagent, I introduce the product in the context of Airtable’s sale. Bending Spoons completed its acquisition of Airtable on September 4, 2026, at a reported enterprise value of $1.285 billion. The transaction excluded the Hyperagent business; the deal itself does not establish how well the product works.

Hyperagent is presented as a cloud service for coordinating teams of specialist AI agents rather than interacting with just one agent. I show a real-estate example in which a prompt and Zillow listing link lead the system to gather property information and images for a cinematic video.

02

A multi-agent demonstration

He describes specialist agents and demonstrates a real-estate video workflow. The short clip shows one example rather than a systematic test.

The property-listing workflow
DIAPOSITIVA 1 / 1The property-listing workflowThe displayed interface shows the agent collecting image URLs from a listing during the sponsored demonstration.

I say the example took about 30 minutes and that I could review the result afterward from a computer through the cloud. This is one sponsored demonstration: the short clip does not independently establish accuracy, rights to the underlying images, repeatability or typical costs. I also mention a $100 promotional credit offer, whose terms and availability may change.

Más de este canal

12 diapositivas34:21EN
Matthew Berman· 27 oct 2026Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI SafetyIA empresarial+2
0:26EN
Matthew Berman· 25 oct 2026Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.Human-AI CollaborationFuture of WorkAI Strategy
2 diapositivas0:36EN
Matthew Berman· 25 oct 2026Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.EvaluacionesAgentes de programaciónOpen-weight models
2 diapositivas0:21EN
Matthew Berman· 24 oct 2026An AI-Generated Kimi Benchmark Chart Used Invented ScoresMatthew Berman · Forward FutureMatthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.BenchmarksEvaluacionesGenerative media
6 diapositivas25:50EN
Matthew Berman· 24 oct 2026Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
2 diapositivas32:20EN
Matthew Berman· 23 oct 2026Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1