Day AI vs Lightfield
The Lightfield alternative whose AI agents actually do real work for every rep, safely.
Lightfield is great at remembering your customer conversations and answering questions about them. Day AI goes further: AI agents with real job descriptions run your prospecting, pipeline review, and follow-ups in the background — and hand each rep finished work, governed so you can trust what they do. It’s less like a smarter CRM and more like giving every rep a team.
- Agents that produce work — not just answers
- More capacity per rep — like adding headcount
- Governed & auditable — trust what the agents do
- Works on top of your stack — no rip-and-replace
30-minute personalized demo with a product expert — not a sales pitch. No credit card, no obligation.
Evaluating Lightfield and Day AI? Here’s where each one is genuinely strong.
You searched for Lightfield, so you know the pitch — an AI-native CRM that captures every call and email and lets you ask anything about your customers. That’s real, and it’s good. But notice where most AI CRMs stop:
- 01
You stop entering data — The CRM fills itself with the right information.
Table stakes. Day and Lightfield both do this. Day goes further by turning those raw interactions into a decision-trace context graph — people, companies, deals, relationship roles, and reconciled signals — kept in a live, permission-aware layer. That gives reps and agents one always-current picture of the business they can safely act on, not just a log of what happened.
- 02
You get answers — Understand what customers said, answer hard questions.
Lightfield is great at understanding what was said and how an account evolved. Day’s decision-trace context graph goes further, structuring how your team actually interpreted those conversations in a live, permission-aware layer, so the system can answer hard questions by querying real decision patterns rather than just rereading transcripts.
- 03
The work gets done for you — Agents move work forward, then hand you the finished product.
Lightfield surfaces information and can generate drafts or automations off its customer memory. Day goes further with standing agents that behave like teammates: they continuously prospect, prep, and move deals to the next step on top of a live, permission-aware context graph, then hand each rep finished output to review, so they can focus on real conversations and relationships.
Saving a rep from data entry gives back minutes. An agent that sources tomorrow’s demo targets, briefs you before every call, and drafts your follow-ups gives back capacity — the kind you’d otherwise have to hire for.
In one line: Lightfield helps your reps know more. Day AI’s agents help your reps do more — and do it safely.
Why us
Built by the team that built the CRM everyone is migrating off of.
Day AI’s founder, Christopher O’Donnell, was responsible for HubSpot’s product from 2011 to 2021. He built the Marketing Hub, built the Sales Hub, its CRM, in 2014, and built and ran the team that shipped Service Hub and Data Hub. That footprint is, to this day, the product HubSpot ships, the only credible alternative to Salesforce ever built. He has spent the years since ChatGPT launched building the successor to the system of record for the AI era. Moving off HubSpot or Salesforce onto Day is not a leap. It is the same person who designed how a customer platform fits together, doing it again for the age of agents.
The reason you can let agents do real work: you can see exactly what they did, and why.
If you run revenue operations, you have probably already built a version of this yourself. A folder of prompts, some skills, maybe a real agent. It works right up until you try to put email into it, hand it to a rep, or prove what it did last Tuesday. Day is where that hits solid ground. It captures every enrichment, inference, and human correction with its full history, value, confidence, timestamp, and whether a person overrode the AI, so you can always answer “why do we believe this, and when did it change?”
Decision lineage, not just evidence.
Lightfield cites the source conversation (great for evidence). Day adds who overrode what, under which rules — the lineage you need for discounts, exceptions, deal desk, and compliance.
Permission-aware by design.
Every agent and teammate sees and does only what they’re allowed to — so agents can act without overstepping.
Auditable.
Every agent action is logged: what ran, for whom, what it touched. That’s how you trust agents across a team and clear the security review.
Lightfield says Day “can’t.” The truth is Day lets you choose the way your team works.
They say
"Day is just a memory layer on top of your CRM."
Actually
Day acts as a full CRM - pipeline, stages, reporting, etc. - that also can sit cleanly on top of Salesforce or HubSpot if you don’t want to rip it out today. One product, either mode.
They say
"You’ll keep Gong running next to Day."
Actually
Day records and transcribes natively. If you use Gong or Granola, they connect. If you don’t, you don’t need them.
They say
"No Gong. No HubSpot. One system."
Actually
That’s an ultimatum, not a feature. Day lets you augment or replace on your own timeline. Lightfield makes you bet everything on day one.
Standing agents, not one-off prompts.
Most AI tools wait for you to ask. Day’s agents have job descriptions, schedules, and skills that run automatically — they run in the background and bring you finished work. Our founder, Christopher, has three that he works closely with every day and they’re incredible. Open one to see what it had waiting for him and what he had to say about it.
Reviews my new-business pipeline every morning and flags the deals where my involvement would actually move them, with a specific action for each. Keeps my opportunities current as things change.
My BDR. Every morning he hunts for CEOs and CPOs who should see Day AI, researches each one, and hands me a prioritized list of demo targets, with a reason they’ll care and a clear way in.
Follows me through my day and mines my meetings for content, maintaining my ideas page, then fleshes the best ones into full drafts by evening. Also works my podcast and speaking pipeline: checking new invitations, prepping me for upcoming shows, and finding warm intros through my network.
Why this is different from Lightfield’s agent
Lightfield’s agent shines at work you direct it to do — rich, on-demand analyses and artifacts like board updates, feedback rollups, and reports. Day is tuned for continuous, governed operations: hundreds of pieces of work a day that agents run on their own against a live, permission-aware context graph, producing output you can trust. Most teams don’t lack reports — they lack a system that quietly does the recurring work, safely, so reps can focus on customers.
What it’s worth — the outcomes that matter
More capacity per rep
Reps spend their hours selling, not on admin and prep. Output scales without scaling headcount.
Faster ramp
New hires inherit a working roster of agents and the team’s memory on day one.
Shorter cycles
Research, prep, and follow-ups happen in real time instead of waiting in someone’s queue.
One live graph for every rep and every agent.
Single-player AI is easy; the wall is the second rep — and the fifteenth. Build an agent role once and everyone gets the best version, scoped to their own deals and permissions. Edit a field or a permission and Day’s live context layer pushes that change into every view and every agent right away, not on a delayed sync. New hires inherit the team’s memory on day one instead of starting from zero.
Day AI vs Lightfield, side by side.
You already know Lightfield, so we won’t pretend it’s weak everywhere. Here’s where we’re genuinely equal — and where Day is built differently.
Both
Already in Lightfield? Switching is easier than staying stuck.
Bring your data.
Day imports contacts, accounts, and history.
Keep what works during the move.
Run Day alongside Salesforce/HubSpot/Gong — no mid-air cutover.
Hands-on onboarding.
A Day specialist sets up your pipeline, permissions, and first agents with you.
No lock-in.
Your data, your decision — leave on your terms, with everything exportable.
The difference between knowing more and doing more, in their words.
“My Day AI assistant reminded me about a prospect since it had been 9 days since our demo. I followed up and now the deal is advancing. I wouldn’t have followed up today if I hadn’t received the nudge, because it had been buried in my deal pipeline.”
Simon Kronenberg
Co-founder & CRO, Digit
“I love Day AI. I can count at least 10+ times where it’s sent me reminders in Slack to chase a lead I would’ve forgotten about and would not have closed without them.”
Nathan May
Founder, The Feed Media
“Day AI captures the connective tissue that usually disappears. That’s what lets us build agents with substance, tasks with real understanding, outbound that knows the full journey.”
Christopher Booth
Founder & CEO, Charm
Trusted by founders at B2B companies
See Day’s agents work on your own data.
A 30-minute personalized walkthrough with a product expert — not a sales pitch.
Questions scaling teams ask before switching.
Don’t both tools have AI agents? What’s actually different?+
Yes, both have agents. The difference is the kind of work. Lightfield’s agent is excellent at work you direct it to do — on-demand analyses and artifacts like board updates, feedback rollups, and reports. Day’s agents are standing roles with schedules that run continuously and bring you finished work — prospecting, pipeline review, follow-ups — so they add capacity day after day, not just answers on request.
Isn’t Lightfield the "real" AI-native architecture, and Day just CRM + AI?+
Both are world-model architectures; they choose different things as canonical. Lightfield’s is raw customer reality (every interaction). Day’s is the decision graph — how your org applied rules, made exceptions, and changed state over time. If your hardest problem is understanding what customers say, Lightfield is great; if it’s getting trustworthy work done by agents across a team, Day fits better.
How do I trust agents to act on my pipeline?+
Day records the full history behind every value — confidence, timestamps, and whether a human overrode the AI — plus an audit log of every agent action, scoped to each person’s permissions. You can always see what an agent did and why, and set "drafts only" boundaries where you want a human to approve.
We want schema-less so we don’t configure a CRM. Doesn’t Lightfield win there?+
Capturing everything first and structuring it whenever you want — schema-less, retroactive customer memory — is core to how Day AI was built. Add a property today and Day goes back through every conversation you’ve already had and fills it in. Both products do a version of this now. The difference shows at scale. A 50-person org needs one shared, stable graph every rep and agent can rely on, not structure re-derived from raw memory on every query. You keep the flexibility, and Day adds views and relationships as you evolve, on top of a graph that stays consistent for the whole team.
How does pricing compare?+
Lightfield is priced per seat. Its Starter plan is $89 per seat per month for up to 3 seats, capped at 30,000 records. Pro starts at $899 per month billed annually and adds full seats at $250 each. Day is priced by the agent, by the work done rather than the headcount, with no per-seat fees or overages.
Do I have to replace Salesforce or HubSpot?+
No. Day runs alongside them or replaces them — your timeline. Lightfield is replace-only.
Knowing more is good. Doing more is the point.
Lightfield will help your team understand its customers. Day AI’s agents do the recurring work that makes every rep more productive — prospecting, prep, follow-ups, pipeline hygiene — governed so you can trust what they do, on top of your stack or as your CRM.
30 minutes. Your data. A product expert, not a pitch.