Give your Team AI that Knows the Job

Your sales team didn't join the business to spend half the afternoon copying notes into a CRM. Your marketing team probably didn't sign up to rewrite the same campaign brief for the fifth time either.

Yet this is where a surprising amount of working life goes. Repeating instructions. Finding information. Preparing updates. Chasing the next action.

ChatGPT and Claude can already help with parts of that work. But there is a useful difference between asking AI for help whenever you remember and giving it a defined job within the way your business operates.

That's where skills and agents come in.

Reson8 can build these workflows from scratch, or work alongside your team with practical, step-by-step guidance. The aim is to make everyday work easier and give capable people more time to spend on customers, ideas and growth.

Everyday AI chat is a useful starting point

At its simplest, using ChatGPT or Claude means opening a conversation and asking for something: draft a follow-up email, summarise meeting notes, suggest campaign ideas or improve a proposal.

You provide the brief, review the response and decide what to do with it.

This can be useful, particularly for occasional tasks. The friction appears when the same job needs doing regularly and different people explain it differently. One colleague supplies the brand guidelines. Another forgets the pricing restrictions. Someone else spends twenty minutes correcting the tone.

The team is saving some time, but still rebuilding the instructions around each task.

Here we're describing the simplest conversational use of these platforms. Both can support more structured ways of working, so this isn't a choice between basic chat and buying an entirely different system.

A skill gives AI a defined way to do a job

Think of a skill as a reusable working brief for a particular task. It captures the method, reference material, rules and expected output that would otherwise need explaining again.

In a formal Agent Skills system, this can be a package of instructions, supporting files and scripts that an agent loads when needed. A saved prompt can be a starting point, but a developed skill can carry much more of the process. [1]

For a marketing team, a newsletter skill might specify the audience, tone of voice, approved sources, structure, spelling preferences and review checks. It could instruct the AI to flag missing evidence rather than invent a customer testimonial.

For sales, a proposal skill might require a standard format, current service information and approved pricing. If a key detail is missing, it should ask for clarification or flag the gap.

The benefit is a shared method that people can reuse and improve. Defining a skill usually means configuring instructions and resources around an existing model, rather than training a new model from scratch.

Written rules still need testing. They can guide behaviour, but they don't guarantee that every output will be correct.

An agent can carry work through several steps

An AI agent is a system that uses an AI model to work towards a goal, choosing next steps and using available tools within defined limits. Depending on its configuration, it can retrieve information, prepare outputs and take permitted actions. [2]

A skill describes how to perform a particular job. An agent carries out work and may use several skills along the way.

A skill doesn't automatically connect to your CRM, send emails or run in the background. Those capabilities need suitable tools, permissions and, where required, a trigger or schedule.

What this could look like in sales

Imagine a new enquiry arriving through your website.

An appropriately connected agent could read it, check for an existing customer record and prepare a summary of what the person needs. A lead profiling skill could organise the relevant information using Reson8's approach: Profile, Tag, Score.

Profile what the customer wants. Tag the enquiry consistently. Score it using agreed, understandable criteria to help the team prioritise.

The workflow could then suggest an owner, flag missing details and prepare a relevant reply for review. Once approved, a connected system could send the response and record a follow-up task.

The salesperson starts with useful context and a clear next action. They still handle the relationship, negotiate terms and judge what the customer actually needs.

A lead score should guide attention. It should never automatically reject someone because their first enquiry was brief or incomplete.

Marketing gets more room to think

Marketing contains plenty of work that is repetitive without being simple.

Turning one approved article into an email, several social posts and a campaign brief requires judgement about audience, format and tone. Repeated across a busy calendar, it becomes a substantial production task.

A set of defined skills could give each output its own method. The email skill follows the newsletter structure. The social content skill adapts the message for each channel. A checking skill flags unsupported claims, inconsistent language and missing calls to action.

An agent could coordinate those steps, save drafts in an agreed location and create a review task for the marketing lead, provided the required connections are in place.

The team gets a more consistent starting point and spends less time on repeated preparation. People still decide whether the idea is good, whether the message is right and whether it deserves to be published.

Build it for you, or build it with you

Some businesses want Reson8 to take responsibility for the build. We can map the workflow, define the skills, configure an agent's tools and permissions, connect suitable systems and test the process before introducing it to the team.

Others want their own people to learn how to do it. We can provide hands-on guidance, helping teams turn their knowledge into clear instructions, develop useful reference material and test outputs against real examples.

You can also combine the two: Reson8 builds the first workflow, then supports your team as they learn to maintain it and develop further use cases.

Starting from scratch can mean creating a workflow specifically for your business using established platforms. It doesn't automatically mean commissioning an expensive bespoke AI platform.

We begin with the business and tools you already have. Review, Identify, Improve, Connect, Measure. If a straightforward automation can move information reliably between two systems, that may be all the task needs. Agents are useful where interpreting context and adapting the next step add practical value. [3]

Clear boundaries make the work useful

The instructions should say when the AI must pause, what information it can use and who approves important actions. Those instructions need backing from access controls and checks in the connected systems. A sentence saying “never send without approval” shouldn't be the only protection around an email-sending tool. [2]

Start with one contained task. Test it against ordinary examples and awkward exceptions. Give it an owner, review errors and keep its reference material current.

Then measure what changed: preparation time, corrections, response speed or missed follow-ups. The result should justify the running costs and oversight it needs.

Your team already knows a great deal about how to do its work well. Reson8 helps turn that knowledge into useful skills and connected workflows, whether you want us to build them or guide your people through the process.

Give great people the power of AI, with a clear job to do.

Editorial sources

1. Anthropic: Equipping agents for the real world with Agent Skills

2. OpenAI: A practical guide to building agents

3. Anthropic: Building effective agents