Multi-model agent orchestration
TESS coordinates across more than 250 AI models in one chat, letting the platform choose from different models for different tasks instead of forcing one model to do everything.
TESS
RivendicaTESS is an autonomous AI agents platform for professionals and teams to plan and complete complex work with 250+ AI models and usage-based pricing.
Overview
TESS is an autonomous AI agents platform for professionals and teams that want to delegate complex work to agentic workflows. It combines a chat interface with orchestration across 250+ AI models so users can plan work in one place and have agents carry it through to completion.
The product is positioned around “vibe working,” a workflow where the user sets the goal and the system handles execution. On the site, TESS is described as useful for tasks such as research, presentations, reports, spreadsheets, and other multi-step professional work, with a usage-based pricing model that charges for impact rather than per seat.
Core capabilities
Autonomous task execution
The platform can plan and execute work from start to finish, using agentic operations such as web searches, tool calls, and iterative checks to complete a request.
Extended context handling
TESS can run with the model's maximum available context through API in Max Mode, including up to 400K tokens for GPT according to the site.
Model-to-model collaboration
Model Council lets multiple models review the same task and contribute different perspectives before the final output is delivered.
Professional work outputs
The Agent Computer can create outputs such as presentations, dashboards, spreadsheets with formulas, and market research deliverables from a prompt.
Custom agent creation
Teams can build custom agents for specific use cases, then reuse them for recurring workflows.
Practical use cases
Research and synthesis
Use TESS when you need a multi-step research task handled end to end, with agents searching, comparing, and synthesizing information into a finished result.
Business deliverables
Use the Agent Computer to create presentations, dashboards, or spreadsheets with formulas when the output needs to be ready for business use.
Model selection by workflow
Route work to different model profiles when a task needs speed, depth, coding, multimodal reasoning, or generation rather than a single generic model.
Reusable team workflows
Build repeatable custom agents for recurring internal tasks so a team can reuse the same setup across similar requests.
Startup operations
Adopt TESS in startups that want to apply AI across research, engineering, marketing, and operations without adding per-user software costs.
Pros and Cons
Pros
- Orchestrates 250+ AI models in one environment.
- Supports autonomous execution instead of only chat-based responses.
- Offers usage-based pricing with unlimited workspace users described on the pricing page.
- Includes tools for team use, custom agents, and professional output types like presentations and spreadsheets.
- Provides options for longer context and multi-model review through Max Mode and Model Council.
Cons
- The public pages provided do not show detailed integration coverage beyond model selection and orchestration.
- Pricing is usage-based, so costs depend on how much the agents are used rather than a fixed per-seat subscription.
- The site does not publish a full product documentation set in the provided sources, so some workflow specifics remain unclear.
FAQ
What is TESS used for?
TESS is an autonomous AI agents platform that plans and executes work from start to finish, rather than only answering prompts. The pricing page says it is designed to deliver professional-level results through agentic execution and collaboration across 250+ AI models.
How does TESS pricing work?
The source pages show a usage-based billing model rather than per-seat pricing. Companies can invite unlimited users into a workspace at no extra cost and pay for the impact generated by the agents.
Do I need technical skills to use TESS?
No. The pricing page says TESS does not require technical knowledge, and the product is positioned for professionals and teams who direct the work while agents execute it.
Can teams use TESS together?
TESS is built for collective use by professionals and companies. The pricing page says it supports team collaboration, and the site says companies can scale access across teams without per-user costs.
What integrations does TESS support?
The source says TESS updates its model list weekly and integrates new leading models quickly. It does not provide a fixed public list of every connected app or external integration on the pages provided.
Quick Facts
- Category
- Autonomous AI agents / productivity
- Platform
- Web app
- Primary users
- Professionals, teams, and startups
- Pricing model
- Usage-based, with unlimited users in a workspace
- Source domain
- tess.im
- Notable workflow
- Prompt-to-delivery execution for research, reports, presentations, and spreadsheets