The basic model
An LLM is the brain. A chatbot is the conversation. An agent is a junior teammate with tools: it can read files, make plans, change code, use the browser, and check results.
PebbleByteAn LLM is the brain. A chatbot is the conversation. An agent is a junior teammate with tools: it can read files, make plans, change code, use the browser, and check results.
Vibe coding says: "Make something that roughly fits." Agentic coding means: give context, sharpen the goal, limit scope, review the work, iterate.
You do not need the perfect prompt. You need a small safe workspace, clear boundaries, and a good feedback loop.
A focused folder with exactly the files the agent may edit.
Reusable working rules: style, process, quality criteria, examples.
The ability to act: write files, open browsers, edit spreadsheets, operate apps.
| Concept | Simple explanation | Analogy |
|---|---|---|
| LLM | The thinking engine | Brain |
| Chatbot | The conversation layer | Eyes / ears / mouth |
| Agent | The worker | Junior teammate |
| Project | The workspace | Office / desk |
| Skill | A repeatable workflow | Handbook / checklist |
| Tool | What the worker can use | Apps |
| Permission | Safety boundary | Key / locks |
Role: "Work like a calm senior frontend developer."
Goal: "Build a small local helper for ..."
Context: "Read the project files first and summarize the structure."
Boundaries: "No frameworks, no servers, no external databases."
Output: "Change the files directly and briefly explain the important points afterward."
Checks: "Verify that the page works directly in the browser."
Read the files in this project. Summarize the structure, the main entry points, and obvious risks. Do not change anything yet.
Build a small local browser app for [workflow]. Use only HTML, CSS, and JavaScript. If data is stored, use IndexedDB. Keep the first step deliberately small.
Improve this app for [audience]. Keep the style, change only what is needed, then check usability, empty states, and mobile layout.
The app behaves like this: [problem]. Reproduce the issue mentally from the code, find the most likely cause, fix it, and tell me how to verify it.
If a result misses the mark, do not only say "wrong". Show an example of what "right" should look like.
Who uses the result, and when?
What happens before and after?
Which fields, examples, rules, and edge cases matter?
What should be visible, copyable, or exportable at the end?
What must the agent not do?
How will you know it is good enough?
For tasks, campaigns, leads, approvals, experiments, deadlines. Fields, status, filters, notes, export.
For lists, exports, bookings, texts, assets, QA rules. Import, rules, warnings, result list.
For briefings, checklists, emails, variants, handovers. Form, templates, preview, copy.
If you cannot explain the task in one sentence, it is probably still too large. Make it smaller.
Content calendar, campaign tracker, competitor notes, UTM checklist.
Feedback board, asset checklist, responsive QA list, handoff tracker.
Lead briefings, call notes, follow-up tracker, quote library.
Meeting actions, incident postmortems, process checklists, handover board.
Export checker, duplicate review, category audit, receipt status.
Feature request collection, interview notes, experiment memory, roadmap helpers.
Summarize what changed, how I test it, which assumptions you made, and which two next improvements would create the most value.
An agent is not a magic wand. It is a very fast junior teammate with a toolbox. Good guidance makes it useful.
The formats build on each other: from short hands-on prototypes to concrete internal apps and production-ready applications.
Entry point, half day
The compact entry point creates a shared view of agentic coding and already leads to short hands-on coding prototypes based on your first use cases.
from€990net
incl. up to 4 participants
Implementation, 1 day
Building on the prioritized use cases, the team works hands-on with agent tools and builds concrete apps, automations, or workflows for daily work.
from€2,990net
incl. up to 8 participants
Pilot, 2 to 4 weeks
The pilot takes one selected app or automation to a production-ready application with preparation, implementation, reviews, tests, deployment, and rollout guidance.
On request
individually scoped