Of all the problems your company has today, which ones does AI solve best and fastest?

Turn routine processes into autonomous flows.

Protect your company by setting the ground rules for safe AI use.

Multiply your business's operational capacity with autonomous agents.

Optimize costs, compare models and ensure financial efficiency in AI projects.

Simplify and automate system processes, increasing productivity and efficiency.

Digital security for protection, encryption and corporate access management.

Articles, tutorials and news about technology, programming and artificial intelligence.

We use cookies for advertising, measurement and to improve your experience. You can accept or reject non-essential cookies. Learn more in our <policy>Privacy Policy</policy>.

Hcode — courses, corporate training and consulting in technology, programming and artificial intelligence.

Hcode | You, the expert

You'll hear from us soon about the Hedhog beta program. Keep an eye on your inbox.

Become a Beta Tester

Get in touch with our specialists

Name

Subject

You'll receive the access details for the event on Microsoft Teams shortly. Keep an eye on your inbox.

Fill in your details to get the Teams link for the session.

Claim your free seat

Name is required

Top cloud challenges across all respondents

Identify whether the tone is aggressive or signals an intent to take legal action.

Prepare your data

Select the data

Insert the PivotTable

Use the PivotTable fields

How to create a PivotTable in Excel (step by step)

<o>Custom</o> settings in Copilot M365

GENERATED RESULT

e) Suggested rewrite of a passage

The text is generally well written and correctly spelled. There are no obvious spelling errors. The technical terms and expressions fit the industrial context.

1. Spelling and grammar

a) Clarity and directness

b) Standardizing terms

c) Structure and formatting

d) Cohesion and coherence

2. Tips to improve the writing

Under knowledge you connect the agent to specific URLs, or restrict its search to trusted sources only. Finally, you can set up predefined titles and messages to guide the first-time user. That works as a strategic shortcut: with a single click, the user fires off complex commands.

To create agents in Copilot M365, the interface fields should be filled in with technical precision in mind. The name should be functional and the description should summarize the agent's specialty. The instructions should contain a step-by-step of how the agent is meant to work. This is also where you turn on tools such as the code interpreter and the image generator.

User Rules (e.g. Always respond in Portuguese)

In this training we also cover the Self-Consistency technique — ways of making the AI check its own work and fix mistakes before showing you the result.

In Brazil, 8 out of 10 companies still have no governance policies for AI, according to IBM's Cost of a Data Breach 2025 report. The study found that the average cost of a data breach in the country already reaches R$ 7.19 million, showing the size of the hidden risk of deploying AI without clear controls and compliance.

AI Governance training is essential: the pace of innovation has outrun organizational maturity. Departments need to agree on the same tools and on standardized use, and it has to be clear who approves and supervises those tools.

It focuses on text. It reads PDFs, meeting transcripts and emails. Ask "Why was this fund closed?" and it searches the research report and summarizes the reason.

It uses internal tools and APIs to run mathematical calculations or financial simulations in real time.

Its only job is talking to databases. It turns "What was the return of fund X in 2024?" into a real SQL query, making sure the number that comes back is exact and from the official source.

It reads the question first. It does not try to answer on its own: it analyzes the user's intent and decides which specialized agent to call. If the question is complex, it builds an execution plan, calling several agents in order.

STEP 4: Email extraction and export

STEP 1: Extracting data from Google Maps

STEP 3: Smart website scraping

STEP 2: Processing website URLs

Additional materials

4. Calculating the financial balance

5. Calculating the final penalty

2. Checking the grace period

3. Determining the penalty percentage

1. Identifying the remaining term

2. Technical architecture (LangChain)

4. Security and compliance

3. Data and knowledge management

1. Defining scope and goals

5. Testing and validation

Generated result:

Creates a template with variables between braces

1. Basic PromptTemplate

Declares several variables to be filled in later:

2. PromptTemplate with multiple variables

Pins some variables so you can reuse the template without specifying them every time:

3. Partial variables (predefined values)

TRAINING MODULES

Overview

How to know if your prompt is really effective or if it just "looks" good? This training teaches how to measure the quality of results objectively, eliminating empiricism and assumptions. The focus is on implementing a continuous improvement cycle through performance metrics, cost control (tokens), and response speed, ensuring a constant standard of excellence.

ABOUT THE TRAINING

Empower professionals to act as a "Prompt Quality Manager", using structured testing methodologies and auditing to reduce rework and ensure maximum accuracy in AI deliverables.

Objective

Development of experiences to compare different versions of a prompt (e.g.: a more detailed version vs. a more direct one). Learning how to measure which variant delivers the best return and greatest accuracy for the specific use case.

A/B Testing Methodology

Implementation of the multiple reasoning pathways technique. Professionals learn to configure AI to generate various outputs for the same problem and select the most frequent and coherent response, drastically increasing reliability in complex tasks.

Self-Consistency

Implementation of quantitative evaluation scales and criteria for clarity, utility, and veracity. Techniques to use the AI itself as an impartial auditor, assigning scores and grounded technical justifications to the generated responses.

Quality Metrics and Hallucination Score

Practical exercise in logical refinement: analysis of interaction logs to identify pattern failures. The challenge is to optimize an unstable prompt until reaching a confidence index above 95%, focusing on reducing token consumption and eliminating ambiguities without the need for third-party tools.

Audit and Continuous Optimization Lab