AI Characters Don't Have to Replace People – They Can Upgrade Them

01 /The Concept

Ai_licia promises to "take your community to the next level."

The mechanism: add an AI co-host. This co-host handles a portion of the work of engaging with community members – not just reducing the load on the human creator, but making the interaction more effective in the process.

Right now the platform covers two community types. On Twitch, an AI co-host can respond independently to viewer actions during a live stream, freeing the human streamer from the near-impossible task of keeping one eye on chat at all times. The co-host is designed by the creator – given a visual identity and a distinct personality – and speaks in natural language. It remembers every community member by name, profile, and interaction history, so replies are personalized rather than generic. Some of the characters already built by users: an energetic aunt, a strict grandmother, a cheerleader, a co-pilot, an anime girl, a head chef, and a DJ.

For Discord groups, the AI co-host works differently – it doesn't speak, but it can welcome new members, respond to comments, write engagement-driving posts, and suggest to the human host ways to boost group activity. It knows every member by name and history, so its interactions feel individual.

Pricing for the Twitch version runs from $9 to $25 per month, depending on how many streams per week are planned and how many different avatars the AI co-host needs to operate under.

More than 4,000 communities are already using Ai_licia. The startup is in early fundraising and shared its platform on Product Hunt a few days ago.

02 /Why It Matters

The moment AI characters became feasible, some startups began building platforms for creating digital clones of real people – so the clone could, for example, respond to messages on your behalf.

Personal AI ([related review](/review/vzorvat-rynok-obrazovanija)) was among the first to try this; it has since pivoted toward a platform that lets companies create AI versions of their own employees.

Amigo ([related review](/review/ii-experty-eto-sovsem-ne-ii-sotrudniki)) raised $6.3M in its first round in November for a platform that lets coaches and consultants create their own AI doubles. The twist: Amigo claims its technology allows the AI double to understand how the expert actually thinks, so it can give relevant responses even to questions that don't appear directly in the expert's previous content.

But there's a real risk to passing off an AI as yourself – it's a substitution that can undermine trust. A better framing might be: don't clone yourself, build a co-host. An assistant, a sidekick, a collaborator – something that openly operates alongside you without pretending to be you, but that acts in ways you'd endorse.

A co-host also just makes content more dynamic. There's a reason 37% of the most popular podcasts in the US have multiple hosts.

That's the direction Ai_licia is heading, and it's also the direction Monologue ([related review](/review/luchshe-sozdavat-interesnoe-chem-avtomatizirovat-skuchnoe)) is exploring – a platform for creating AI co-hosts for podcasts, complete with ready-made conversation scripts on topics the creator selects.

Humy ([related review](/review/tvoego-rebjonka-mozhet-uchit-aleksandr-makedonskij)) takes the same concept into education: teachers can invite AI versions of historical figures – Alexander the Great, Winston Churchill – as co-hosts of a lesson, so each student can have an individual conversation with the character about the topic being studied.

03 /Opportunities

The AI co-host sits somewhere between a faceless chatbot and a full digital clone.

On one hand, it handles the routine work of engagement. On the other, it has its own personality and character, which makes interactions feel genuinely human rather than automated.

An interesting edge case: what if co-host characters appeared in traditional customer support? A question could pass between distinct personas – starting with a general intake character and escalating to a technical specialist character who's clearly been pulled away from their work to solve a real problem. Different characters could have different competencies, and the handoff itself would signal to the user that their issue is actually moving through the system.

The most underexplored territory may be synchronous professional contexts – training, coaching, onboarding – where a character with a consistent personality and memory of past sessions could do more than a generic chatbot, and do it in a way that users actually look forward to.