On this article, you’ll study the important thing variations between AI workflows and brokers, and find out how to resolve which strategy is correct to your use case earlier than writing a single line of code.
Subjects we are going to cowl embody:
- What distinguishes a workflow from an agent, utilizing concrete examples of every.
- A sensible single take a look at to find out whether or not your utility genuinely requires an agent.
- A five-point guidelines to information your choice earlier than constructing.
“Agent” has turn out to be probably the most overused phrases in AI.
A chatbot with three instruments will get known as an agent. A hard and fast document-processing pipeline will get known as an agent. A scheduled automation will get known as an agent. Typically, a genuinely autonomous system that plans, acts, observes outcomes, and adjustments its technique can also be known as an agent.
As a consequence of all this hype, individuals usually depend on brokers even when their utility doesn’t really want one.
So, earlier than going additional, let’s briefly perceive what an agent is and what a workflow is.
What Is a Workflow?
A workflow, additionally known as a pipeline or chain, is a system the place the management circulation is fastened at design time.
The developer decides the sequence of steps, branches, cease circumstances, and different logic beforehand. You should still use an LLM for a number of steps, which makes it a hybrid system, however the total path is predetermined.
For instance, if it’s a must to course of buyer refunds, your workflow would possibly seem like this:
You may see that there are selections right here. There are LLMs and instruments as nicely.
However it’s nonetheless basically a workflow as a result of the attainable paths are designed prematurely. You would draw the state diagram earlier than receiving the client request.
What Is an Agent?
An agent is a system the place the LLM itself decides what to do subsequent at runtime.
It receives a aim, has entry to instruments, and decides which instrument to name, in what order, and when to cease. It may possibly backtrack, loop, or collect extra info relying on what it discovers.
In different phrases, the management circulation lives with the mannequin.
Let’s say you’ve gotten a manufacturing outage and need to reply this query:
Determine why checkout failures elevated within the final half-hour and produce a possible root trigger.
It’s possible you’ll give the system instruments for querying logs and metrics, looking out error traces, and studying incident paperwork. However you can’t reliably know beforehand what the right sequence of actions ought to be.
For one incident, it would do:
|
Examine error charge → examine latest deployment → examine stack traces → determine failing database name → confirm database latency |
For one more incident, it would do:
|
Examine error charge → section failures by area → examine CDN standing → examine DNS errors → determine regional supplier outage |
Right here, the statement after every motion determines what the system does subsequent. That’s what makes it agentic.
The Single Sensible Check
Ask your self one query earlier than writing any code:
Are you able to draw an entire flowchart of the duty earlier than the LLM ever runs?
- If sure, and each main step and department might be listed with affordable confidence, construct a workflow.
- If the following step is dependent upon what the system discovers throughout execution — similar to new knowledge, surprising instrument outcomes, or intermediate findings — you in all probability want an agent.
This single take a look at can remove many pointless brokers.
If a reliable engineer can describe the method on a whiteboard utilizing an affordable variety of conditional steps, the additional flexibility of an agent is often not well worth the added complexity.
One widespread mistake is assuming:
Workflow = easy
Agent = refined
That isn’t true.
A workflow can include a number of LLM calls, retrieval, instrument calls, retry logic, human approvals, and complex enterprise guidelines.
On the similar time, a quite simple system can nonetheless be agentic if the mannequin itself decides what occurs subsequent.
So, earlier than making a call, undergo the guidelines under.
A Easy Guidelines Earlier than You Construct
1. Can I checklist the foremost steps and branches earlier than runtime?
Sure → Workflow
For instance, if you wish to extract info from a contract and put it aside to a database, the general steps are already identified.
Learn the contract, extract the fields, validate them, and save them.
It’s possible you’ll use an LLM for extraction, however you don’t want an agent to resolve what occurs subsequent.
2. Is the enter variability low sufficient {that a} choice tree stays maintainable?
Sure → Workflow
If the inputs are open-ended and unpredictable, an agent could make extra sense.
For instance:
Assist me remedy this uncommon buyer situation.
It might be troublesome to create a set workflow for each attainable situation. On this case, letting an agent resolve dynamically what info to assemble and what motion to take might be helpful.
3. Is the appliance delicate to quantity, value, and latency?
Excessive quantity, tight finances, or low-latency necessities → Workflow
Brokers usually require extra reasoning and power calls, which suggests extra tokens, extra API calls, and extra latency.
If the duty is much less frequent and beneficial sufficient to justify exploring a number of potentialities — similar to complicated analysis or investigation — an agent could make sense.
For prime-volume FAQs or routine duties, stick with workflows.
4. Do I want an identical execution paths for audit or compliance?
Strict audit or compliance necessities → Workflow
For instance:
|
Confirm identification → examine credit score → apply coverage → approve/reject |
If each utility should undergo the identical documented checks, use a workflow.
If totally different investigation paths are acceptable so long as the ultimate result’s right, an agent could also be appropriate.
5. Have I already tried a workflow with LLM judgment?
That is often the very best place to begin.
For instance, in buyer help:
|
Fastened workflow → classify situation with LLM → examine coverage → LLM judges eligibility → course of refund |
If this works nicely, you in all probability don’t want an agent.
Workflow + LLM judgment → do this earlier than transferring to a totally autonomous agent.
Last Takeaway
Brokers are highly effective when the issue is genuinely open-ended.
For a lot of enterprise processes, nonetheless, a well-designed workflow with focused LLM calls is easier, cheaper, extra dependable, and simpler to keep up.
The sensible strategy is to begin constrained.
Draw the flowchart first. Construct the workflow. Measure the place it fails. Solely then resolve whether or not an agent is definitely required — and even then, it could solely be wanted for a bounded a part of the duty. When you can draw the flowchart earlier than the LLM runs, begin with a workflow. If the circulation must be found whereas the system is working, you in all probability want an agent.
On this article, you’ll study the important thing variations between AI workflows and brokers, and find out how to resolve which strategy is correct to your use case earlier than writing a single line of code.
Subjects we are going to cowl embody:
- What distinguishes a workflow from an agent, utilizing concrete examples of every.
- A sensible single take a look at to find out whether or not your utility genuinely requires an agent.
- A five-point guidelines to information your choice earlier than constructing.
“Agent” has turn out to be probably the most overused phrases in AI.
A chatbot with three instruments will get known as an agent. A hard and fast document-processing pipeline will get known as an agent. A scheduled automation will get known as an agent. Typically, a genuinely autonomous system that plans, acts, observes outcomes, and adjustments its technique can also be known as an agent.
As a consequence of all this hype, individuals usually depend on brokers even when their utility doesn’t really want one.
So, earlier than going additional, let’s briefly perceive what an agent is and what a workflow is.
What Is a Workflow?
A workflow, additionally known as a pipeline or chain, is a system the place the management circulation is fastened at design time.
The developer decides the sequence of steps, branches, cease circumstances, and different logic beforehand. You should still use an LLM for a number of steps, which makes it a hybrid system, however the total path is predetermined.
For instance, if it’s a must to course of buyer refunds, your workflow would possibly seem like this:
You may see that there are selections right here. There are LLMs and instruments as nicely.
However it’s nonetheless basically a workflow as a result of the attainable paths are designed prematurely. You would draw the state diagram earlier than receiving the client request.
What Is an Agent?
An agent is a system the place the LLM itself decides what to do subsequent at runtime.
It receives a aim, has entry to instruments, and decides which instrument to name, in what order, and when to cease. It may possibly backtrack, loop, or collect extra info relying on what it discovers.
In different phrases, the management circulation lives with the mannequin.
Let’s say you’ve gotten a manufacturing outage and need to reply this query:
Determine why checkout failures elevated within the final half-hour and produce a possible root trigger.
It’s possible you’ll give the system instruments for querying logs and metrics, looking out error traces, and studying incident paperwork. However you can’t reliably know beforehand what the right sequence of actions ought to be.
For one incident, it would do:
|
Examine error charge → examine latest deployment → examine stack traces → determine failing database name → confirm database latency |
For one more incident, it would do:
|
Examine error charge → section failures by area → examine CDN standing → examine DNS errors → determine regional supplier outage |
Right here, the statement after every motion determines what the system does subsequent. That’s what makes it agentic.
The Single Sensible Check
Ask your self one query earlier than writing any code:
Are you able to draw an entire flowchart of the duty earlier than the LLM ever runs?
- If sure, and each main step and department might be listed with affordable confidence, construct a workflow.
- If the following step is dependent upon what the system discovers throughout execution — similar to new knowledge, surprising instrument outcomes, or intermediate findings — you in all probability want an agent.
This single take a look at can remove many pointless brokers.
If a reliable engineer can describe the method on a whiteboard utilizing an affordable variety of conditional steps, the additional flexibility of an agent is often not well worth the added complexity.
One widespread mistake is assuming:
Workflow = easy
Agent = refined
That isn’t true.
A workflow can include a number of LLM calls, retrieval, instrument calls, retry logic, human approvals, and complex enterprise guidelines.
On the similar time, a quite simple system can nonetheless be agentic if the mannequin itself decides what occurs subsequent.
So, earlier than making a call, undergo the guidelines under.
A Easy Guidelines Earlier than You Construct
1. Can I checklist the foremost steps and branches earlier than runtime?
Sure → Workflow
For instance, if you wish to extract info from a contract and put it aside to a database, the general steps are already identified.
Learn the contract, extract the fields, validate them, and save them.
It’s possible you’ll use an LLM for extraction, however you don’t want an agent to resolve what occurs subsequent.
2. Is the enter variability low sufficient {that a} choice tree stays maintainable?
Sure → Workflow
If the inputs are open-ended and unpredictable, an agent could make extra sense.
For instance:
Assist me remedy this uncommon buyer situation.
It might be troublesome to create a set workflow for each attainable situation. On this case, letting an agent resolve dynamically what info to assemble and what motion to take might be helpful.
3. Is the appliance delicate to quantity, value, and latency?
Excessive quantity, tight finances, or low-latency necessities → Workflow
Brokers usually require extra reasoning and power calls, which suggests extra tokens, extra API calls, and extra latency.
If the duty is much less frequent and beneficial sufficient to justify exploring a number of potentialities — similar to complicated analysis or investigation — an agent could make sense.
For prime-volume FAQs or routine duties, stick with workflows.
4. Do I want an identical execution paths for audit or compliance?
Strict audit or compliance necessities → Workflow
For instance:
|
Confirm identification → examine credit score → apply coverage → approve/reject |
If each utility should undergo the identical documented checks, use a workflow.
If totally different investigation paths are acceptable so long as the ultimate result’s right, an agent could also be appropriate.
5. Have I already tried a workflow with LLM judgment?
That is often the very best place to begin.
For instance, in buyer help:
|
Fastened workflow → classify situation with LLM → examine coverage → LLM judges eligibility → course of refund |
If this works nicely, you in all probability don’t want an agent.
Workflow + LLM judgment → do this earlier than transferring to a totally autonomous agent.
Last Takeaway
Brokers are highly effective when the issue is genuinely open-ended.
For a lot of enterprise processes, nonetheless, a well-designed workflow with focused LLM calls is easier, cheaper, extra dependable, and simpler to keep up.
The sensible strategy is to begin constrained.
Draw the flowchart first. Construct the workflow. Measure the place it fails. Solely then resolve whether or not an agent is definitely required — and even then, it could solely be wanted for a bounded a part of the duty. When you can draw the flowchart earlier than the LLM runs, begin with a workflow. If the circulation must be found whereas the system is working, you in all probability want an agent.
