LockedIn AI is a real-time interview and meeting copilot that delivers live coaching, intelligent feedback, and adaptive response suggestions. It analyzes your speech, tone, and on-screen context to help you communicate more clearly and confidently. By combining conversational understanding with performance analytics, LockedIn AI helps users excel in interviews, presentations, and professional meetings.

LockedIn

LockedIn AI is an artificial intelligence interview assistant and meeting copilot that provides personalized guidance during live professional conversations. It listens to spoken questions, analyzes the context of the discussion, and generates relevant answer suggestions that the user can privately reference while speaking.

The platform is designed for job interviews, technical assessments, professional meetings, sales calls, presentations, and other situations where a person may need to organize ideas quickly. Users can upload a resume, provide a job description, select a target role, and configure the type of conversation they are preparing for. LockedIn AI uses this information to create guidance that is more relevant to the user’s background and goals.

LockedIn AI can assist before, during, and after an interview. Before a session, users can practice with simulated interview questions. During a live conversation, the platform can generate structured responses, coding guidance, talking points, and communication feedback. Afterward, users can review transcripts, performance scores, and recommendations for improving future responses.

The platform supports behavioral interviews, software engineering interviews, system design discussions, consulting cases, finance interviews, project management conversations, sales calls, and other professional scenarios. Its combination of live assistance and performance analysis makes it useful for both interview preparation and continuing communication development.

LockedIn AI is a live interview copilot that uses speech recognition and artificial intelligence to understand questions as they are asked. It then produces response suggestions based on the conversation, the user’s professional background, and the role being discussed.

Instead of presenting the same general advice to every user, LockedIn AI allows the experience to be personalized. A user can upload a resume and job description so the platform can identify relevant skills, projects, achievements, and responsibilities. When an interviewer asks a question, the generated guidance can reference information that is more closely connected to the user’s actual experience.

For behavioral questions, LockedIn AI can help organize responses into a clear structure. It may suggest which experience to discuss, what actions to emphasize, and how to connect the result to the position. This can help users avoid vague answers and communicate the value of their previous work more clearly.

For technical interviews, the platform can assist with programming problems, algorithm explanations, debugging, code review, and system design. It can break complex questions into smaller steps and help users explain the reasoning behind a possible solution. LockedIn AI also offers support for online assessments completed through common technical testing platforms.

The platform includes an AI copilot and an AI coach that can operate during the same session. The copilot focuses on generating possible answers and useful information. The coaching component evaluates communication factors such as pacing, clarity, tone, and response structure. This gives the user both content guidance and feedback on how that content is delivered.

LockedIn AI is also designed for professional meetings and conversations outside the traditional hiring process. It can help users prepare responses during client calls, organize ideas during presentations, answer questions in sales meetings, and communicate more confidently in workplace discussions.

Begin by creating a LockedIn AI account. New users can access the platform and explore available interview assistance and practice features before selecting a paid plan.

After creating an account, review the available application options and select the experience that fits your intended use. LockedIn AI provides live assistance through its supported interface and desktop application.

Add information about your experience, skills, industry, and target role. Uploading a resume gives LockedIn AI additional context that it can use when creating response suggestions.

The information provided should be current and accurate. Include important projects, responsibilities, achievements, technologies, leadership experiences, and measurable results that may be relevant during an interview.

Provide the job description for the position you are pursuing. LockedIn AI can analyze the listed responsibilities, qualifications, skills, and preferred experience to understand what the employer may prioritize.

Adding the job description helps the platform connect interview questions with relevant parts of your background. It can also help generate guidance that uses terminology associated with the position and industry.

Choose the type of interview or professional conversation you expect to have. The platform can adapt its assistance for behavioral interviews, technical interviews, coding challenges, system design discussions, case interviews, sales conversations, and other formats.

Selecting the correct format helps LockedIn AI determine how responses should be structured. A behavioral interview may require concise examples from previous experience, while a system design interview may require architecture decisions, tradeoffs, and scalability considerations.

Adjust the response style to match your communication preferences. Users may want concise talking points for fast conversations or more detailed guidance for complex technical questions.

The response length should make it easy to review suggestions without losing focus on the conversation. Users can also configure available controls and shortcuts so they can access assistance without repeatedly navigating through menus.

Use the practice environment to become familiar with the platform before an important conversation. A mock interview allows users to answer realistic questions and evaluate how effectively they communicate their experience.

Practice sessions can help identify responses that are too long, unclear, incomplete, or missing relevant examples. Repeated practice also gives users an opportunity to improve their natural delivery rather than relying entirely on generated suggestions.

Open LockedIn AI before joining the interview or meeting. The platform captures the relevant audio, identifies questions, and generates guidance as the conversation progresses.

The user remains responsible for delivering the response. The generated content can be used as a framework, reminder, or source of supporting ideas rather than something that must be repeated exactly.

Review Suggestions During the Conversation

When a question is detected, review the suggested response and select the ideas that accurately represent your knowledge and experience. Focus on the most relevant points rather than attempting to include every generated detail.

Users should ensure that all information they share is truthful. Generated suggestions may need to be adjusted to reflect the user’s actual responsibilities, technical knowledge, and professional experience.

After the conversation, examine the transcript, performance analysis, scores, and improvement recommendations. The report can help identify communication patterns that may not be obvious while the conversation is happening.

Pay attention to areas such as response clarity, organization, pacing, completeness, and relevance. These insights can guide future preparation and help users build stronger interview habits over time.

LockedIn AI listens to interview questions and generates response suggestions while the conversation is taking place. This can help users organize their thoughts and identify important points under pressure.

The guidance adapts as the conversation develops. Follow up questions can be interpreted in relation to earlier parts of the discussion, allowing the platform to provide more contextually relevant suggestions.

Users can provide a resume, job description, role information, and other professional context. LockedIn AI uses this material to personalize its suggestions.

This personalization can help users connect questions with relevant projects, responsibilities, achievements, and skills. It also reduces the need to manually search through preparation notes during a live conversation.

LockedIn AI can help users structure answers to questions about teamwork, leadership, conflict, failure, problem solving, and professional growth.

The platform can suggest an appropriate experience and organize the response around the situation, responsibility, action, and result. This makes it easier to provide a complete example rather than an unstructured description.

The platform assists with programming questions, algorithms, debugging, code explanations, and technical decision making. It can help users understand the problem, consider possible solutions, and explain their reasoning.

Technical support is useful for candidates interviewing for software engineering, data, infrastructure, security, product, and other technology focused roles.

LockedIn AI includes coding assistance for technical interviews and assessments. Users can receive help understanding programming problems, reviewing code, identifying errors, and considering improvements.

The coding copilot can also help users explain complexity, compare alternative approaches, and prepare for follow up questions about the proposed solution.

For system design interviews, LockedIn AI can help organize requirements, identify major components, discuss data flow, and evaluate architecture decisions.

It can surface considerations involving scalability, databases, caching, reliability, security, messaging, and infrastructure. Users can then apply the suggestions that are appropriate for the specific problem.

LockedIn AI can assist with questions presented during online hiring assessments. This may include technical questions, recorded interview prompts, and other evaluation formats.

The platform supports audio based input and can interpret questions from different assessment environments. Users should confirm that outside assistance is allowed before using the platform during an evaluation.

The platform combines response generation with communication coaching. One component focuses on what the user could say, while another evaluates how effectively the response is being delivered.

This approach can help users improve both the substance and presentation of their answers. Strong content may be less effective when it is delivered without structure, confidence, or clarity.

LockedIn AI can evaluate speaking factors such as pacing, tone, clarity, and answer organization. It can provide suggestions that help the user communicate in a more controlled and professional manner.

This feature may be particularly useful for users who speak too quickly, provide overly long answers, use excessive filler words, or have difficulty reaching the main point.

Users can simulate interview scenarios before attending a real interview. Practice sessions generate questions based on the selected role, industry, and interview format.

The feedback from these sessions can help users refine examples, improve weak responses, and become more comfortable discussing their experience.

LockedIn AI can provide transcripts, performance scores, and recommendations after a completed session. These reports help users review the conversation in greater detail.

Instead of relying only on memory, users can see which questions were asked, how they responded, and which communication areas may require additional work.

The platform supports conversations in multiple languages and can assist users interviewing with international companies or multilingual teams.

Language support may also help candidates who understand a subject well but need assistance expressing their knowledge clearly in the language used during the interview.

LockedIn AI can work alongside common online meeting platforms by analyzing system audio. This allows users to access assistance during interviews and meetings conducted through popular video conferencing tools.

Because the platform processes the conversation separately, users do not need the interviewer or meeting host to install an additional application.

The desktop application provides access to live assistance while users work across other applications. It is designed to remain available without requiring constant switching between windows.

Users can configure shortcuts and visibility settings based on their preferences. These controls can make it easier to reference suggestions while maintaining focus on the conversation.

LockedIn AI includes an option that allows a trusted person to provide guidance during a session. This combines AI generated support with input from someone familiar with the user or subject.

The helper can observe the session and provide suggestions when additional human judgment is useful. Users remain in control of whether and when this access is granted.

LockedIn AI offers functionality for developers working inside supported code editors. Users can select code and send it to the copilot for explanation, review, debugging, or additional context.

This can help technical candidates receive assistance without leaving their development environment during preparation or supported coding activities.

Candidates can use LockedIn AI to prepare responses about leadership, teamwork, conflict, adaptability, failure, and problem solving. The platform helps connect each question with a relevant professional example.

It can also help users keep responses focused on their individual contribution and the outcome of the situation.

Software engineering candidates can receive guidance with algorithms, data structures, coding problems, debugging, and technical explanations.

LockedIn AI can help users move from understanding a question to presenting a logical solution. It can also suggest issues that an interviewer may ask about next.

Candidates applying for experienced engineering roles can use the platform to organize system design discussions.

LockedIn AI can help identify functional requirements, technical constraints, major services, storage options, scaling strategies, and architectural tradeoffs.

Project managers can use LockedIn AI to prepare examples involving planning, prioritization, stakeholder communication, risk management, deadlines, and team coordination.

Sales

Nabiq AI is an AI-powered sales agent that learns from user behavior to automate personalized outreach via email, SMS, WhatsApp, and push—with seamless CRM integrations and human-like accuracy. No technical expertise required; setup is intuitive.

Nabiq

Nabiq AI is an AI-powered sales and CRM assistant built to automate and personalize customer engagement across multiple channels. At Add AI Agents, we feature Nabiq for its ability to mimic human-like conversations and support scalable, data‑driven outreach to grow leads and enhance retention.

Connect your CRM and outreach tools (e.g. Salesforce, HubSpot, Twilio, Shopify). Then configure your campaign parameters and messaging style. Nabiq will analyze user behavior and automatically send tailored emails, SMS, WhatsApp messages, push notifications, and follow-ups—all while learning and optimizing over time.

 Learns from past interactions to personalize conversations like a real sales rep.

 Engages via email, SMS, WhatsApp, and push notifications for full-spectrum communication.

 Connects seamlessly with Salesforce, HubSpot, Shopify, Twilio, Salla, and more.

Behavior‑Based Content Personalization:

 Segments audiences and delivers tailored messages based on real-time customer behavior.

 Schedules drip campaigns and re‑engagement workflows at scale.

 Improves over time by analyzing outcomes and adjusting messaging strategies.

 Dashboard insights for conversion rates, engagement metrics, and ROI tracking.

 Recover abandoned carts, re-engage customers, and drive sales with tailored messaging.

 Automate lead nurturing across email, SMS, and WhatsApp with dynamic personalization.

 Scale user onboarding, retention campaigns, and upsells seamlessly.

 Remove the manual complexity of segmentation and outbound strategies.

 Deploy an AI SDR that builds pipelines 24/7 without expanding headcount.

Nabiq offers a 14-day free trial on its Pro plan with integrations and usage limits, and full pricing is customized via demo request.

Yes. integrations include Salesforce, HubSpot, Shopify, Salla, Twilio, email platforms, and more.

Can it really simulate human conversation?


Yes. Users report that messages feel authentic and natural, and praise its high deliverability and language support.


Absolutely. It supports sectors like e‑commerce, real estate, gaming, SaaS, and more—adapting messaging to contextual behavior.

Yes. Every interaction helps refine messaging and outreach strategy for better future performance.

Why We Featured Nabiq AI on Add AI Agents

At Add AI Agents, we highlight tools that help teams work smarter and scale faster. Nabiq AI fits that mission by combining human-like conversational quality with fully automated, behavior-driven sales workflows. Its deep integrations and adaptive learning make it a powerful agent for e‑commerce, RevOps, and marketing teams looking to increase conversion and retention without adding headcount.

Closed source Sales AI agents

All 2 closed source sales tools

LockedIn

Nabiq