A new mode where every setting is turned to the max. Deeper search, higher reasoning depth, all aimed at squeezing out the last percentage points of quality for work where it matters most.
- Agent Team Max launched March 16, 2026: every setting turned to the max - deeper search, higher reasoning depth - for high-stakes work.
- The same release upgraded search infrastructure across ALL modes: richer context retrieval, better source synthesis, more accurate citations.
- Reasoning protocols for Agent Team and Team Max gained enhanced multi-agent cross-validation.
- Those protocol improvements were developed using CellCog’s own Agent Team mode in Cowork - the research infrastructure now R&D’s its own core reasoning.
- Best for legal analysis, high-stakes financial decisions, cutting-edge academic research, and critical business presentations.
- Roughly 3x the cost and 3x the time of Agent Team for an incremental 5-10% quality gain - worth it exactly when the stakes justify it.
- What is Agent Team Max?
- CellCog’s maximum-depth mode: deeper search, higher reasoning depth, and multi-agent cross-validation turned all the way up for high-stakes work.
- When should I use it?
- When the cost of a wrong answer far exceeds the cost of better research: legal analysis, major financial decisions, academic research, critical presentations.
- What does it cost?
- Average queries run roughly 3x the cost and 3x the time of Agent Team, for an incremental 5-10% quality gain.
- Did other modes improve too?
- Yes - the underlying search upgrades (retrieval, synthesis, citations) landed across Agent, Agent Team, and Team Max alike.
§ 01What Changed Under the Hood
Better search infrastructure. Richer context retrieval, better source synthesis, more accurate citations, and dynamic search reasoning depth. All three modes benefit - Agent, Agent Team, and Agent Team Max.
Improved reasoning protocols. Enhanced multi-agent cross-validation for Agent Team and Agent Team Max - more adversarial checking between agents at every step, which is the practical defense against the failure modes multi-agent systems are prone to.
There’s a detail here we’re quietly proud of: these improvements were developed using CellCog’s own Agent Team mode working in Cowork. Our deep research infrastructure is now R&D’ing its own core reasoning - and the measured gains on DeepResearch Bench came from exactly that loop.
§ 02When to Use Agent Team Max
Best for high-stakes work where the cost of a wrong answer far exceeds the cost of better research:
- Legal analysis and case research
- High-stakes financial decisions
- Cutting-edge academic research
- Pitch decks and critical business presentations
The honest arithmetic: average queries run roughly 3x the cost and 3x the time of Agent Team, and the quality gain is incremental - 5 to 10 percent. Most work shouldn’t pay that premium. But when a wrong answer costs orders of magnitude more than the query, those percentage points are the cheapest insurance you can buy.
§ 03Three Modes, One Platform
| Mode | Best for |
|---|---|
| Agent Mode | Fast, iterative - suitable for most work |
| Agent Team | Deep research and multi-angled reasoning, every modality |
| Agent Team Max | Maximum depth for high-stakes work |
The mode picker is really a stakes picker. The super-agent underneath is the same; what changes is how much scrutiny you’re buying per conclusion.
§ 04The Honest Caveats
Team Max is deliberately not the default: 3x cost and 3x latency for 5-10% quality is a bad trade for routine work and a great one for high-stakes work - the judgment stays with you. And benchmark scores from this release were pending official leaderboard submission at publish time; the internal measurement stands at +0.89 on DeepResearch Bench.
Q1What exactly is turned 'to the max'?
Search depth, reasoning depth, and multi-agent cross-validation. The mode spends more retrieval, more synthesis passes, and more adversarial checking between agents on every step of the work.
Q2Is a 5-10% quality gain worth 3x the cost?
For most work, no - which is why Agent and Agent Team exist and remain the right default. For work where a wrong answer costs orders of magnitude more than the query - a legal position, a major investment decision - those percentage points are the cheapest insurance available.
Q3What improved under the hood?
Two layers. Search infrastructure: richer context retrieval, better source synthesis, more accurate citations, dynamic search reasoning depth - benefiting all modes. Reasoning protocols: enhanced multi-agent cross-validation for Agent Team and Team Max.
Q4What does it mean that CellCog developed this with itself?
The reasoning protocol improvements were built using CellCog’s own Agent Team mode working in Cowork - the deep research infrastructure R&D’ing its own core reasoning, with the gains measured on DeepResearch Bench.
Q5How do the three modes relate?
Agent mode is fast and iterative, suitable for most work. Agent Team adds deep research and multi-angled reasoning across every modality. Agent Team Max pushes every dial to maximum for the work where stakes dominate cost.
Q6How do I choose per task?
Ask what a wrong answer costs. Routine work: Agent. Substantial research or multi-angle analysis: Agent Team. Decisions you’d hire an expensive specialist to double-check: Team Max.