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Fireflies.ai captures your meetings well enough, but the transcript doesn’t do anything on its own. You have the notes. Someone still has to turn them into action items, follow-up emails, and a summary the team will actually read. That someone is usually you. This is where the HotBot Fireflies.ai AI integration<\/strong> pays off: once you’re a signed-in member, you connect Fireflies.ai inside HotBot and the assistant works with your meeting data directly. No copy-paste marathon.<\/p>\n\n\n\n This tutorial covers connecting the two apps, then six workflows \u2014 action items, draft docs, rewrites, tables, summaries \u2014 with example prompts and the HotBot model tier that fits each one. If you’ve been looking for a flexible Fireflies.ai ChatGPT alternative<\/strong>, HotBot is worth a look, since it gives you 800+ models under one roof instead of a single engine.<\/p>\n\n\n\n One disclaimer up front: HotBot is an independent AI chat service. It’s not an official Fireflies.ai product and it’s not affiliated with or endorsed by Fireflies.ai. Third-party names here identify the apps and models you can use.<\/p>\n\n\n\n Before we start, line these up:<\/p>\n\n\n\n Estimated time:<\/strong> 10\u201315 minutes for your first workflow. Under 2 minutes each after that.<\/p>\n\n\n\n Difficulty level:<\/strong> Beginner. If you can write a text message, you can do this.<\/p>\n\n\n\n Head to the HotBot login page<\/a> and sign in as a member. Connectors don’t appear on a logged-out or free-only view, so you can’t skip this step.<\/p>\n\n\n\n Once you’re in, connect Fireflies.ai from inside HotBot. That’s the model: signed-in members link supported apps, and the assistant works with that app’s data directly in your chats. I won’t walk you through fake menu screens or pretend I know the exact button placement \u2014 connect it from inside HotBot once you’re signed in, and you’re set. If you get stuck, the connection lives in your member area, not in a separate download.<\/p>\n\n\n\n The payoff comes after connecting. You no longer have to hunt down a transcript, copy it, and paste it into a chat window. You ask HotBot about your meetings and it pulls from your Fireflies.ai data. That’s what separates an AI assistant for Fireflies.ai<\/strong> from a generic chatbot you feed by hand.<\/p>\n\n\n\n This is the workflow I use most, and probably the one you came for. Fireflies already extracts action items automatically, but the ones you get out of the box tend to be flat \u2014 “follow up with client,” no owner, no date. Here’s how to fix that.<\/p>\n\n\n\n Try a prompt like this:<\/p>\n\n\n\n Model tier:<\/strong> Use HotBot Chat<\/strong> for this. It’s fast, it’s light on your attention, and extracting structured items from a transcript is exactly the kind of everyday task it handles well. Start a session at HotBot Chat<\/a>.<\/p>\n\n\n\n Doing this by hand means re-reading the whole call to make sure you didn’t miss anything. Let the assistant do the first pass, then sanity-check it. It tends to catch the “oh right, I said I’d send that” items I’d otherwise forget.<\/p>\n\n\n\n Action items are internal. Next comes the outward-facing stuff \u2014 the recap email, the proposal follow-up, the “thanks for your time” note that references what you actually discussed.<\/p>\n\n\n\n Example prompt:<\/p>\n\n\n\n Model tier:<\/strong> This is where HotBot Chat Plus<\/strong> earns its place. Drafting good copy takes some step-by-step thinking \u2014 reading the context, deciding what to include, structuring the message \u2014 and Chat Plus handles that reasoning better than the base tier. For a longer strategic brief pulling from several meetings, step up to Chat Pro<\/strong>, which brings deep reasoning and a 1M-token context window for when you’re feeding it a lot of history at once.<\/p>\n\n\n\n One tip from AIUnpacker’s Fireflies prompt guide<\/a>: work from the verified transcript, not just the auto-summary, when the stakes are high. The AI Growthub review<\/a> makes the same point about pricing and deadline mentions \u2014 pull from the actual words spoken. The connector makes that easy, since HotBot can reach the transcript directly.<\/p>\n\n\n\n Sometimes you don’t need a fresh draft \u2014 you need to fix the one you have. A recap that’s too stiff. Notes that ramble. A summary written for engineers that now needs to go to the exec team.<\/p>\n\n\n\n Model tier:<\/strong> HotBot Chat<\/strong> for quick tone tweaks and tightening. Move to Chat Plus<\/strong> when you’re changing the actual structure or audience, since reshaping content for a different reader takes more careful reasoning than swapping a few words.<\/p>\n\n\n\n For a long time I did my own rewrites because explaining what I wanted felt slower than just doing it. Once the transcript is connected, though, explaining what you want becomes the fast version. You describe the audience once and the assistant does the reshaping.<\/p>\n\n\n\n Raw notes are a wall of text. Tables and clean summaries make them scannable \u2014 Google likes extracting these, and so do your teammates.<\/p>\n\n\n\n For a summary:<\/p>\n\n\n\n For a table:<\/p>\n\n\n\n Model tier:<\/strong> A single-meeting summary is a HotBot Chat<\/strong> job. That three-call table is synthesis across multiple transcripts, so I’d reach for Chat Pro<\/strong> \u2014 its deep reasoning and large context window handle cross-meeting pattern-finding much better. Fireflies itself frames this multi-meeting analysis (tracking objections, extracting feedback) as a core use case, and HotBot’s bigger models are built for that kind of connect-the-dots work.<\/p>\n\n\n\n Sometimes HotBot’s own tiers aren’t the ideal fit, and that’s fine \u2014 you have 800+ models to choose from. Maybe your team standardized on a specific provider’s model, or you want one known for a particular writing style. Browse the full lineup at HotBot’s models page<\/a> and pick the one that suits the job. One subscription, every major provider. That flexibility is why I’d call HotBot a real ChatGPT alternative<\/strong> rather than another single-model wrapper.<\/p>\n\n\n\n Not ready to subscribe? You can still get real value \u2014 you’ll just do the fetching yourself.<\/p>\n\n\n\n Open your Fireflies meeting, copy the summary or transcript, and paste it into a HotBot chat. Then run any of the prompts above, minus the “from my Fireflies” part \u2014 say “from the notes below” and paste. It works fine. This is how most people pair transcripts with AI today: paste, then prompt.<\/p>\n\n\n\n The connector removes the copy-paste tax. Once you’re doing this more than a couple times a week, that tax adds up, which is when the membership starts paying for itself.<\/p>\n\n\n\n The assistant can’t find my meeting.<\/strong> Make sure Fireflies is actually connected inside HotBot (Step 1) and that the meeting exists in your Fireflies account. If you renamed a call, use the current name in your prompt.<\/p>\n\n\n\n Action items are missing owners or dates.<\/strong> Fireflies doesn’t always capture who-owns-what. Ask the assistant to infer owners from the transcript, then verify \u2014 don’t trust auto-assigned deadlines blind.<\/p>\n\n\n\n My output is too generic.<\/strong> Add constraints: word counts, audience, tone, format. “Rewrite this” gets you mush. “Rewrite this for a skeptical CFO in five bullets” gets you something usable.<\/p>\n\n\n\n I’m hitting summary limits in Fireflies.<\/strong> Fireflies rations advanced summaries and action-item detection through a monthly AI credit pool, per Otter’s comparison<\/a>. If you’re running low there, doing the heavy lifting in HotBot can stretch your Fireflies credits.<\/p>\n\n\n\n A few notes. When you connect Fireflies.ai, you’re letting HotBot’s assistant work with your meeting data, so treat sensitive calls (legal, HR, pricing) with the same care you would anywhere. Review AI-generated action items and drafts before they go out; the assistant is a first-drafter, not a final approver.<\/p>\n\n\n\n And again: HotBot is independent. It’s not affiliated with, endorsed by, or an official product of Fireflies.ai or any model vendor. The connector lets the assistant work with your data \u2014 it doesn’t make the two companies partners.<\/p>\n\n\n\n Once you’ve run these five workflows a few times, start building your own prompt templates \u2014 the same email structure, the same table columns, every time. That’s where the real time savings live. From there, try the different models on HotBot<\/a> to find which one matches your writing voice.<\/p>\n\n\n\nWhat You’ll Need<\/h2>\n\n\n\n
Step 1: Sign In and Connect Fireflies.ai Inside HotBot<\/h2>\n\n\n\n
Step 2: Turn Meeting Notes into Action Items<\/h2>\n\n\n\n
From my most recent sales call in Fireflies, pull every action item.\nFor each one, give me: the task, who owns it, a suggested due date,\nand priority (high\/medium\/low). Format as a checklist.\n<\/code><\/code><\/pre>\n\n\n\nStep 3: Draft Follow-Up Emails and Documents<\/h2>\n\n\n\n
Draft a follow-up email to the client from yesterday's discovery call\nin Fireflies. Reference the two main concerns they raised, confirm the\nnext steps we agreed on, and keep it warm but under 200 words.\n<\/code><\/code><\/pre>\n\n\n\nStep 4: Rewrite and Refine What You’ve Got<\/h2>\n\n\n\n
Take the meeting notes from my Fireflies \"Q3 Planning\" call and rewrite\nthem for a non-technical executive audience. Cut the jargon, lead with\ndecisions, and keep it to five bullet points.\n<\/code><\/code><\/pre>\n\n\n\nStep 5: Build Tables and Summaries from Raw Notes<\/h2>\n\n\n\n
Summarize my Fireflies meeting \"Vendor Review\" in three parts:\nkey decisions, open questions, and owners. Keep each section tight.\n<\/code><\/code><\/pre>\n\n\n\nFrom my last three client calls in Fireflies, build a table with columns:\nclient name, main request, objection raised, and current status.\n<\/code><\/code><\/pre>\n\n\n\nWhen a third-party model is the better pick<\/h3>\n\n\n\n
Without the Connector: The Free-Tier Approach<\/h2>\n\n\n\n
Common Issues and How to Fix Them<\/h2>\n\n\n\n
Limits and Privacy<\/h2>\n\n\n\n
What’s Next<\/h2>\n\n\n\n