Fiction

Fiction

PageLines gives each teammate a personal AI agent with its own cloud computer, browser, and memory that pauses for your approval before anything sends.

72/100Safe BetFree · from $49 per computer/mo, billed monthlyFreemium

For a small sales or marketing team bleeding hours to CRM hygiene and follow-up slippage, PageLines is worth the $49 per computer per month experiment — the free single-bot tier and the 10-day paid trial make it cheap to find out. Per-awake-computer pricing means an idle bot costs nothing, and seeing Snowflake, BigQuery, PubMed / NCBI, Meta Ads, and Salesforce on one catalog under $100 per computer per month is rare. The hesitation is surface area: eighteen jobs is a lot to configure before you see payback, and every output waits for your approval.

Verified 1d ago · liveness 72/100 · cite: rightaichoice.com/tools/fiction

Best for
  • Sales reps drowning in CRM logging and follow-up emails after every call
  • Founders and executives running their own outreach plus pipeline reporting
  • Marketing leads who want ad copy, campaign reports, and a content calendar without hiring
  • Teams under 50 that want one agent per person rather than one shared tool
Not ideal for
  • Teams wanting fully unsupervised outbound — every agent output waits for approval
  • Buyers who need one job solved cheaply and already have it covered inside their CRM
  • Organizations that cannot connect email, calendar, and CRM to a third party
Visit Website

Beginner-friendlyRealistic first value is an hour or two, not minutes: connecting one CRM, email, and calendar is quick, but writing your first skill and running it once through the approval loop is where the payoff starts. A full eighteen-job rollout across a team is a multi-day wiring project, gated by how clean your CRM data already is.Web · MobileAPI availableVerified 1d ago
Pricing
Free · from $49 per computer/mo, billed monthly
FreemiumFree tier4 plans5 hidden costs
Learning curve
Beginner-friendly
Realistic first value is an hour or two, not minutes: connecting one CRM, email, and calendar is quick, but writing your first skill and running it once through the approval loop is where the payoff starts. A full eighteen-job rollout across a team is a multi-day wiring project, gated by how clean your CRM data already is.
Runs on
WebMobile
API available · 15 integrations
Who it's for
Sales rep at a 20-person B2B companyMarketing lead without a content hireFounder running their own pipeline
Live sentiment
Is Fiction actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
Run a free scan

3 free scans · no card needed

Skip it if

Skip PageLines if you need outbound that runs without a human in the loop — nothing sends, spends, or changes until you approve it, and every job waits on that review.

The 30-second take
Biggest gripe

Awake computers are what you pay for: each additional bot on a paid tier adds another $49-$199 per computer per month, so a ten-person team on Professional is roughly $990 per month, not $99.

Price reality

Per-computer pricing fits teams of roughly 3-50 people who each want a persistent agent: $49 per computer per month for Essential, $99 for Professional, $199 for Business, all billed monthly, and $0 for one bot with 5,000 credits once. For comparison, single-purpose outbound and research tools charge per seat at similar order of magnitude but cover one job, while enterprise agent platforms ask for annual contracts at multiples of this.

In short

Fiction — PageLines gives each teammate a personal AI agent with its own cloud computer, browser, and memory that pauses for your approval before anything sends. Best for Sales reps drowning in CRM logging and follow-up emails after every call, Founders and executives running their own outreach plus pipeline reporting, Marketing leads who want ad copy, campaign reports, and a content calendar without hiring. Free to start; paid plans from $49/mo.

What people actually say about Fiction — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

125 mentions across 7 sources (Hacker News, YouTube, App Store, Bluesky, Stack Overflow, GitHub, Lemmy) · researched Jul 27, 2026.

20% positive80% critical

Average across the 7 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Automates email triage and lead enrichment without manual rules.
  • +Supports deep integrations with Google Workspace and Microsoft 365.
  • +Sets up in about 3 minutes with no DevOps required.
  • +Adaptive learning of user preferences over time.
  • +Open-source Hermes models allow self-hosting for data privacy.
Recurring frustrations
  • −Almost no community reviews or testimonials to validate claims.
  • −Name confusion with unrelated fiction apps on app stores.
  • −Pricing details are vague and not transparently listed.
  • −No native mobile apps currently available.
  • −Limited to teams under 50, not scalable for larger orgs.
Patterns worth knowing
Name collision with fiction books, movies, and games dominates all community data
Seen on Hacker News, YouTube, App Store, Bluesky, Stack Overflow, Lemmy
App Store reviews describe a different 'Fiction' reading app with predatory pricing
Seen on App Store
GitHub repo exists but shows limited activity and community engagement
Seen on GitHub
Learning curve
beginnerProductive in ~3 minutes for basic setup
Hidden costs people mention
  • • Self-hosting may incur infrastructure and maintenance costs
  • • Custom enterprise plans likely require annual commitment

Viability Score

72/100
Safe Bet

How well maintained and how widely used is Fiction? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
100
Site health
95
User sentiment
20
What the vendor publishes
40

Last calculated: October 2026

How we score →

Key Features

  • Autonomous inbox triage with drafted replies for hot buyer emails
  • Each agent runs on its own cloud computer with a browser and memory
  • Voice mode on paid tiers, plus Slack, Telegram, and iPhone delivery
  • CRM contacts, deal notes, and next steps updated from emails and call notes
  • Sales follow-up drafts for deals waiting on a reply
  • Prospect research covering company, buyer, and recent news
  • LinkedIn post drafting from product updates and customer stories
  • Campaign and pipeline reports pulled from connected tools
  • Sales call briefs with account history, priorities, and open questions
  • Call notes turned into CRM entries, follow-up drafts, and next steps
  • Email campaign and newsletter drafting per audience segment
  • Competitor launch, pricing, and messaging tracking
  • Campaign images for social posts, newsletters, and sales presentations
  • Content calendar with topics, draft copy, and deadlines
  • Proposal drafts built from the deal record and past proposals

About Fiction

FreemiumBeginner-friendlyAPI availableWeb · Mobile

PageLines is a personal AI agent platform for work: one agent per person rather than one shared pool, aimed at small sales, marketing, planning, and quality teams. Each bot runs on its own cloud computer with a browser and memory, connects once to the tools you already pay for, and is driven by email, calendar, and CRM activity rather than prompts you type. The site names eighteen jobs handled from day one, including inbox triage with drafted replies, CRM contacts and deal notes updated from emails and call notes, sales follow-ups, prospect research, LinkedIn posts, campaign and pipeline reports, sales call briefs, call notes turned into actions, email campaigns, competitor research, campaign images, content planning, proposal drafts, ad copy, customer check-ins, event follow-ups, and meeting scheduling that updates the CRM on booking. You write a skill once, ship it to every client, and run it on a schedule. The connector catalog is wide for the price point — HubSpot, Salesforce, Pipedrive, Slack, Microsoft 365, Microsoft Teams, Google Workspace, Google Ads, Meta Ads, Canva, Notion, Airtable, Asana, Stripe, Snowflake, BigQuery, Klaviyo, Mailchimp, Jira, GitHub, Zapier, Postgres, Pinecone, and PubMed / NCBI among many others, plus model providers including OpenAI, Anthropic, Google Gemini, Grok / xAI, Perplexity, and OpenRouter. The platform is built on Hermes, an open-source agent framework, running on open-weight models. Voice mode, its own desktop, Slack, Telegram, and iPhone are the delivery surfaces. Pricing is per computer that is awake: Essential is $49 per computer per month, Professional is $99 per computer per month, and Business is $199 per computer per month, each billed monthly, with 2x and 4x included usage as you climb. Free starts you with one bot, no card, 5,000 credits issued once, standard models, and no browser, and it pauses when idle. Any paid tier starts with 10 days free once you add a card.

Behind the Verdict

PageLines' honest differentiator is architectural, not messaging. One agent per person, each on its own cloud computer with a browser and memory, is a different bet from the shared-workspace assistants most vendors sell. It matters most where work is per-person by nature: a rep's call briefs, a founder's pipeline report, a marketer's weekly competitor scan. Because each bot has persistent memory and its own machine, a skill you write once can be shipped to every client and run on a schedule — that is real engineering, not a prompt wrapper. The approvals gate is the second thing to understand before you buy. Nothing sends, spends, or changes without you approving it. That is the right default for a bot logged into your CRM and inbox, and it is also a hard ceiling on the time saved: PageLines drafts and assembles, you still review. Teams that wanted hands-off outbound will be disappointed by design. The connector list is genuinely broad for a $49-$199 per computer per month product — HubSpot, Salesforce, and Pipedrive alongside Microsoft 365, Google Workspace, Slack, Stripe, Snowflake, BigQuery, Klaviyo, Zapier, and Postgres. Practical consequence: a messy CRM produces messy drafts, so budget wiring time before the bots touch anything. The Free tier (one bot, 5,000 credits once, no browser, pauses when idle) is enough to test the approval loop but not to evaluate all eighteen jobs. The site states the platform is built on Hermes and open-weight models but does not name specific model families, so we can't tell you which underlying models you get on Essential versus the stronger models on Professional. Compare against per-seat horizontal assistants if you want a shared company brain, and against single-purpose sales tools like lemlist or Reply.io if you only need outbound sequences. PageLines is the better fit when you want many small jobs covered by a persistent agent per person.

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Real-world workflow fit

Concrete scenarios for the personas Fiction actually fits — and what changes day-one when you adopt it.

Sales rep at a 20-person B2B company

Connect HubSpot, Microsoft 365, and Calendly once. Before each call the bot assembles account history, buyer priorities, and open questions; after the call, notes become CRM entries, a follow-up draft, and a next-step reminder.

Outcome: Rep reviews drafts instead of writing them, and the deal record stops going stale between calls — at $49 per computer per month on Essential, billed monthly.

Marketing lead without a content hire

A weekly routine drafts LinkedIn posts from product updates, ad copy variants per campaign, a content calendar with topics and deadlines, and a competitor launch and pricing scan.

Outcome: A reviewable content pipeline each week instead of a blank page, with campaign images drafted in the same pass and everything held for approval before publishing.

Founder running their own pipeline

Free single bot triages the inbox, drafts follow-ups for deals waiting on a reply, and produces a Monday pipeline report from connected tools, with voice mode and desktop arriving if they move to a paid tier.

Outcome: Deal follow-through survives a founder's overloaded week; upgrading to Professional at $99 per computer per month adds 2x usage and faster routines when the single bot becomes the bottleneck.

Use Cases

Models Under the Hood

Hermes

as of 2026-10-15

Limitations

  • PageLines assistants are coached rather than prompted: the bot proposes actions and you approve before anything is sent, spent, or changed, so the time saved is drafting and assembly, not hands-off execution.
  • Premium capability is gated by tier — the Free plan gives one bot, 5,000 credits issued once, standard models, no browser, and pauses when idle, so you can't evaluate the full eighteen-job catalog for free; a residential IP, faster routines, and stronger models start at Professional at $99 per computer per month, billed monthly, versus $49 per computer per month on Essential.
  • Value depends on how well your connected tools are wired before the bots touch them — a messy CRM produces messy drafts.
  • The site states the platform is built on Hermes, the open-source agent, on open-weight models, but does not name the specific underlying open-weight model families, so you cannot tell which model you get per tier from the public pages.

as of 2026-10-17

Verification history

We have re-verified Fiction 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-checked, vendor evidence unchanged
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 10 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Fiction tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0

Ideal for

A solo founder or one rep who wants to test the approval loop and inbox triage before involving teammates or a card.

What this tier adds

Free entry point: one bot, no card, 5,000 credits issued once, standard models, no browser, and it pauses when idle.

Essential

$49 per computer/mo, billed monthly

Ideal for

A single rep or marketer on a small team who needs the desktop and browser so the bot can actually work across sites.

What this tier adds

Default paid tier at $49 per computer per month, billed monthly: adds voice mode plus its own desktop and browser, with standard included usage.

Professional

$99 per computer/mo, billed monthly

Ideal for

A heavy daily user — a rep or analyst whose agent runs routines several times a day and needs reliable IP reputation for web research.

What this tier adds

Doubles included usage to 2x, adds a residential IP, runs routines faster and more often, and upgrades to stronger models on faster servers.

Business

$199 per computer/mo, billed monthly

Ideal for

A team of roughly 10-50 that needs oversight across many per-person agents plus a developer workspace for custom skills.

What this tier adds

4x included usage plus workspace analytics, team management and oversight, developer workspace and backups, and collaboration tools.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Awake computers are what you pay for: each additional bot on a paid tier adds another $49-$199 per computer per month, so a ten-person team on Professional is roughly $990 per month, not $99.
  • Free's 5,000 credits are issued once, not monthly, so heavy exploration of the eighteen jobs runs out and the next step is a card for a paid tier.
  • Browser access, residential IP, faster routines, and stronger models sit behind Professional at $99 per computer per month, billed monthly — Essential at $49 per computer per month gets standard models and standard
  • One tier applies per workspace, so mixing a heavy analyst and a light occasional user means paying the higher per-computer rate for everyone.
  • The 10 days free on any paid tier requires a card, so the trial converts to billing unless you cancel before it ends.

Where the pricing makes sense

The company stage and team size where Fiction's pricing actually pencils out — and where peers do it cheaper.

Per-computer pricing fits teams of roughly 3-50 people who each want a persistent agent: $49 per computer per month for Essential, $99 for Professional, $199 for Business, all billed monthly, and $0 for one bot with 5,000 credits once. For comparison, single-purpose outbound and research tools charge per seat at similar order of magnitude but cover one job, while enterprise agent platforms ask for annual contracts at multiples of this.

Setup time & first value

How long it actually takes to get something useful out of Fiction — broken out by persona, not the marketing-page minute.

Realistic first value is an hour or two, not minutes: connecting one CRM, email, and calendar is quick, but writing your first skill and running it once through the approval loop is where the payoff starts. A full eighteen-job rollout across a team is a multi-day wiring project, gated by how clean your CRM data already is.

Switching to or from Fiction

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From a shared company chatbot: move one person at a time — each agent gets its own computer, so start with the rep whose CRM hygiene is worst.
  • →From a per-seat sales engagement tool: keep the sequence tool for sending and let PageLines handle call briefs, CRM logging, and follow-up drafts for review.
  • →From manual CRM updates: connect HubSpot or Salesforce first and run the touch-free CRM job for a week to check draft quality before expanding.
Migrating out
  • ↗To a per-seat horizontal assistant: export your skills as written instructions and rebuild the routines as scheduled prompts per seat.
  • ↗To a single-purpose sales tool: keep your CRM as the record and wind down the agent jobs that duplicated its sequencing.
  • ↗To an in-house agent framework: PageLines publishes that it is built on Hermes, an open-source agent, so your skills translate to self-hosted routines.

Integrations

HubSpotSalesforcePipedriveSlackTelegramMicrosoft 365Microsoft TeamsGoogle WorkspaceGoogle AdsMeta AdsNotionAirtableAsanaStripeSnowflake

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Fiction”, and we withheld 6: 6 could not be judged, because “Fiction” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Fiction.

Tools that pair well with Fiction

Common stack mates teams adopt alongside Fiction, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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