Task-Based AI Routing
Route each task to the AI whose context and strengths fit it best
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 4
- Confidence
- 95%
This decision rule treats AI products as specialized parts of a working stack rather than interchangeable chatbots. First classify the task by its dominant requirement: current public information, personal assistance and writing, proprietary workspace retrieval, or a second opinion. Route real-time questions to a system connected to live data, use a strong general assistant for recurring vertical workflows, retrieve company knowledge through the model integrated with the relevant document store, and retain another model as a fallback or comparison point. The output is a lightweight routing map that reduces searching, copying, and avoidable model mismatch while remaining flexible as capabilities change.
Origin
Extracted from Marketing Against The Grain during a discussion of how the hosts divide daily work among Grok, Claude, ChatGPT, and Gemini.
Core principles
- 01Choose tools by task rather than loyalty to one model
- 02Use real-time systems for current information
- 03Use integrated systems to retrieve proprietary context
- 04Keep a fallback model for comparison and validation
How to run it
- 1
Classify the task
Determine whether the task primarily needs live public data, private workspace context, writing quality, recurring personal advice, or independent comparison.
Pro tip Classify by the hardest-to-reproduce input rather than by the desired output format.
Watch out Do not route confidential information into a tool that is not approved to receive it.
- 2
Match data access
Select the tool that can directly access the required source, such as real-time posts or documents stored in Google Drive.
Pro tip Native access usually beats manually pasting a small and potentially incomplete sample.
Watch out Integration access does not guarantee that every relevant source was retrieved.
- 3
Match model strengths
Among tools with adequate access, choose the model that performs best for the task type, such as writing, synthesis, or analysis.
Pro tip Maintain a few representative test tasks for periodic comparisons.
Watch out Do not assume yesterday's strongest model remains the strongest indefinitely.
- 4
Use a fallback
Run important or uncertain work through a second model to identify omissions, weak reasoning, or materially different recommendations.
Pro tip Ask the fallback model to critique the first output rather than blindly repeat the task.
Watch out Agreement between two models is not proof that their shared factual claim is correct.
In the wild
A marketer needs an immediate summary of a newly announced model, examples of practical use, and checks on disputed claims. They route discovery to a real-time system connected to social data, then send the sourced findings to their preferred writing model for a polished internal brief.
→ The marketer gets current evidence without sacrificing final writing quality.
A strategist needs a customer profile but cannot remember which of hundreds of internal documents contains the relevant research. They use Gemini to retrieve and synthesize the Drive sources, then move the resulting profile to Claude for audience-specific writing work.
→ Existing research becomes usable without a manual document hunt.
Common mistakes
Using one model for everything
A familiar interface can hide the fact that another tool has better data access or significantly better output for the task.
Routing by brand preference
Choose according to the current task and evidence from actual outputs, not a permanent belief that one provider is universally best.
Ignoring source permissions
Convenient integrations can create inappropriate data exposure if access and retention policies are not checked first.
Is it for you?
Best for
Knowledge workers who regularly use several AI platforms for research, writing, analysis, and document retrieval.
Not ideal for
Teams that must standardize on one approved platform because of security, procurement, or compliance restrictions.
From the transcript
“Grock is my real-time AI. If you need something with real time, you're going with Grok. Claude is my personal assistant that has been segmented…”
“I think Gemini is now my personal assistant for Google Drive.”
From the episode
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